Archives: Press

PALO ALTO, CA – May 3, 2018 –Striim®, provider of an enterprise-grade platform for streaming integration with intelligence, announced today it has been recognized as a winner of the 2018 Bay Area Best Places to Work award, a program presented by the San Francisco Business Times and the Silicon Valley Business Journal. Striim ranked the #10 Best Place to Work among companies with less than 50 employees in the Bay Area.

“This is the second year in a row that Striim has been recognized as a top 10 company to work for,” stated Katherine Rincon, SVP of Marketing at Striim. “As much as we love our streaming integration technology and believe in the vision of this company, it’s the people that make Striim great!”

Select employers from the Bay Area were named winners at an awards ceremony held in San Francisco on April 18, 2018. These winning organizations, including Striim, were honored for having created exceptional workplaces that their employees value highly.

Award applicants were evaluated and ranked across 5 categories according to the number of Bay Area employees.  The ranking found companies in the region whose employees rate them as the highest on such values as fun, collaborative culture, solid compensation and benefits offerings and other amenities as well as management practices.

About Striim

The Striim® platform is an enterprise-grade streaming data integration and intelligence solution. Striim makes it easy to continuously ingest and process high volumes of streaming data – including non-intrusive change data capture – for real-time Kafka and big data integration, hybrid cloud infrastructure, log correlation, edge processing, and streaming analytics. Companies worldwide use the Striim platform for a wide variety of use cases including data security, fraud, SLA monitoring, customer experience, data modernization and centralization, and Internet of Things (IoT) analytics. Please visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform.

About 2018 Bay Area Best Places to Work 

Best Places to Workis an innovative publication and awards program produced by the San Francisco Business Times and the Silicon Valley Business Journal.  The rankings were determined by surveys that went directly to employees who answered a series of questions. The survey was administered online by the employers and through a service provided by Quantum Workplace, our research partner.  The rankings are numeric based on Quantum’s scoring process.  By ranking companies and sharing best practices we facilitate idea sharing and help other companies learn from the best.

PALO ALTO, CA – May 1, 2018–Striim®, provider of an enterprise-grade platform for streaming integration with intelligence, announced today that CRN^®, a brand of The Channel Company, has named Striim to its 2018 Big Data 100 list. This annual list recognizes the ingenuity of tech suppliers bringing to market innovative offerings for harnessing the increasingly huge amounts of data generated in today’s digital world.

The Striim platform is an end-to-end solution that combines real-time streaming integration with intelligence, enabling enterprises to ingest large volumes of data from a variety of sources, and deliver that data to a number of different data targets in milliseconds. While the data is in-flight, users can filter, transform, enrich, and aggragate the data before it lands on disk in order to gain insights while the data is still operationally relevant. Striim offers the ability to build customizable real-time dashboards and alerts in order to make timely, informed business decisions.

“The IT community is now able to collect massive volumes of valuable data—a veritable treasure trove of information for growing businesses,” said Bob Skelley, CEO of The Channel Company. “But reaping the benefits of these huge information streams is a complex and delicate process. The vendors on CRN’s 2018 Big Data 100 list have demonstrated an exceptional ability to help solution providers and their customers tackle this enormous project.”

“Enterprise companies continue to struggle with the extreme growth of data year over year, and the need to make timely decisions on that data,” stated Katherine Rincon, Senior Vice President of Marketing, Striim. “Many companies recognize that a key component of the solution is the fast integration and processing of streaming data. We’re honored that CRN has recognized Striim as a company that can help organizations adopt a modern streaming data architecture.”

About Striim

The Striim®platform is an enterprise-grade streaming data integration and intelligence solution. Striim makes it easy to continuously ingest and process high volumes of streaming data – including non-intrusive change data capture – for real-time Kafka and big data integration, hybrid cloud infrastructure, log correlation, edge processing, and streaming analytics. Companies worldwide use the Striim platform for a wide variety of use cases including data security, fraud, SLA monitoring, customer experience, data modernization and centralization, and Internet of Things (IoT) analytics. Please visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform.

About The Channel Company

The Channel Company enables breakthrough IT channel performance with our dominant media, engaging events, expert consulting and education, and innovative marketing services and platforms. As the channel catalyst, we connect and empower technology suppliers, solution providers and end users. Backed by more than 30 years of unequaled channel experience, we draw from our deep knowledge to envision innovative new solutions for ever-evolving challenges in the technology marketplace. www.thechannelco.com

CRN is a registered trademark of The Channel Company, LLC. All rights reserved.

PALO ALTO, CA – April 12, 2018 – Striim®, provider of an enterprise-grade platform for streaming integration with intelligence, announced today that it has been recognized by the Business Intelligence Group as a finalist in the 2018 Fortress Cyber Security Awards for its Striim for Enterprise Security solution.

In its inaugural program, the Fortress Cyber Security Awards sought to identify and reward the world’s leading companies and products that are working to keep our data and electronic assets safe among a growing threat from hackers. Working executives from the cyber security and information technology fields volunteered to judge the program using a proprietary scoring methodology.

Striim for Enterprise Security was recognized for its case study with a leading financial services company. The company turned to Striim to increase alert accuracy of its security alerts with more sophisticated rules, and to improve the security team’s understanding of the alerts generated. Through multi-log correlation of streaming data and advanced pattern matching cabilities, Striim for Enterprise Security was able to accurately and immediately detect data security breaches and attacks.

“Threat detection is a leading concern of companies of every size, across every industry as they attempt to keep threat actors from accessing and compromising private corporate and personal information,” said Katherine Rincon, Senior Vice President of Marketing, Striim. “We’re honored that the Striim platform has been recognized as a finalist by leaders in the cybersecurity community as a top solution in helping combat cyber attacks.”

“We are proud to announce the inaugural finalists and winners of the Fortress Awards,” said Maria Jimenez, Chief Nominatons Officer, Business Intelligence Group. “According to recent reports, only 38 percent of global organizations say they are prepared to handle a sophisticated cyber attack, and worse, an estimated 54 percent of companies say they have experienced one or more attacks in the last 12 months. The innovative companies and products we are recognizing, chosen by our expert judges, are the premier teams working to prepare, defend and respond to this growing threat. Congratulations to everyone.”

Read more about why Striim for Enterprise Security was selected as a finalist by reading our blog post, “Striim’s Threat Detection Capabilities Lands Company as a 2018 Fortress Cyber Security Awards Finalist.”

About Striim

The Striim®(pronounced “stream”) platform is an enterprise-grade streaming data integration and intelligence solution. The platform makes it easy to continuously ingest and process high volumes of streaming data – including non-intrusive change data capture – for real-time Kafka integration, log correlation, hybrid cloud, edge processing, and streaming analytics. Companies worldwide use the Striim platform to deliver real-time data integration, analysis and visualization for a wide variety of use cases including data security, fraud, SLA monitoring, customer experience, data modernization and centralization, and Internet of Things (IoT) analytics. Please visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform.

Latest version bolsters Striim’s streaming data integration and hybrid cloud capabilities

PALO ALTO, CA — April 4, 2018 — Striim®, provider of an enterprise-grade platform for streaming integration with intelligence, announced today version 3.8.3 of the Striim product, offering important new streaming data integration and hybrid cloud capabilities. With continuous, real-time data ingestion and stream processing for Apache® Kudu™, Striim enables Kudu users to deliver real-time reporting and analytics while the data is still relevant and has operational value. The Striim platform also integrates directly with Azure® HDInsight® in support of modern, real-time hybrid cloud environments. Amazon® Redshift® users can now benefit from streaming data transformations and in-line column mapping across heterogeneous databases.

“As Apache Kudu gains great traction among enterprises for its ability to support fast, scalable data aggregation, reporting, and analytics, Striim helps Kudu users ingest wide range of enterprise data the moment it’s born,” stated Alok Pareek, Founder & EVP of Products at Striim. “We’ve also enhanced our hybrid cloud offerings to support streaming integration with Azure HDInsight and Amazon Redshift. With Striim’s ability to process and deliver data from multiple data sources in real time, users attain the full potential of their applications by working with up-to-the-second data via an enterprise-grade platform.”

Striim’s KuduWriter streams real-time data from databases (including Oracle, Microsoft SQL Server, HPE NonStop, MySQL) and files in different formats (such as CSV and JSON) to Apache Kudu version 1.4 and higher. Striim’s KuduWriter also offers data preparation for data in-motion – including filtering, transformation, enrichment, encryption, and masking – before delivering to Kudu.

A primary benefit of Apache Kudu is its ability to enable multiple, real-time analytics workloads in a single storage layer. With Striim, customers can complete their real-time reporting and analytics solution with an enterprise-grade streaming integration solution that delivers sub-second data from a wide range of data sources, in the format they need. Striim continuously ingests real-time data from enterprise databases (via non-intrusive change data capture), log files, messaging systems such as Apache Kafka, Hadoop and cloud environments. Before delivering the data to Kudu with sub-second latency, Striim processes, secures, and anonymizes the streaming data as-needed for different applications, allowing faster time-to-insight for Kudu users.

In version 3.8.3, the Striim platform also provides the ability to do in-line column mapping across heterogeneous databases like Amazon Redshift, making in-flight enrichment, masking, and encryption easier and faster. Striim’s easy-to-use, drag-and-drop UI increases developer productivity and accelerates integration development time.

Striim 3.8.3 also includes features that enable Striim to be published as an HDInsight application.

To learn more about Striim’s streaming integration solutions for Apache Kafka and Apache Kudu, Azure HDInsight, or Amazon Redshift, please request a demo, or download a free developer license of the Striim platform.

Version 3.8 Adds Multi-Threaded Delivery into Kafka; Expands Real-Time Data Integration into Cloud Environments including Microsoft Azure HDInsight and Amazon Kinesis

PALO ALTO, CA  — January 16, 2018 — Striim, Inc., provider of the leading real-time data integration and streaming analytics platform, today announced that it has launched version 3.8 of the Striim^™ platform, enhancing the scalability and ease-of-use of its streaming integration and SQL-based stream processing capabilities for Apache Kafka. New features such as multi-threaded delivery into Kafka, and an enhanced reader for Kafka with automated mapping of partitions, enable dramatic increases in performance and productivity. Version 3.8 also expands its cloud integration offering with the ability to capture real-time data from Amazon S3, and integrate real-time data into Azure HDInsight and Amazon Kinesis.

Apache Kafka users leverage the Striim platform to continuously collect real-time data from enterprise databases, logs, sensors, and message queues, process data in-flight, without coding, before delivering enriched and transformed data to Kafka within milliseconds. In addition, Kafka customers use the Striim software to analyze and visualize their data in real time, as it streams in Kafka, and deliver data and insights to cloud or on-premises targets.

In version 3.8, Striim has further added new features that deliver multi-fold performance enhancements for streaming real-time data into Apache Kafka, and simplify the setup for reading real-time data from Kafka message queues. The platform uses multi-threaded delivery with automated thread management and data distribution within a single Apache Kafka Writer, supporting high-throughput environments with easier scalability and significant performance increases to optimize a many core single-node architecture. In addition, customers can now use the Striim platform to read from Kafka queues with automated mapping of partitions, dramatically simplifying productivity and accelerating time to market. With 3.8, Striim also offers improved pipeline latency monitoring for its Kafka adapters, which helps identify bottlenecks and streamline fine-tuning for even higher performance.

“Many Apache Kafka users among the Fortune 500 use Striim technology to provide high throughput real-time integration for cloud adoption and data lake construction. Striim’s in-memory SQL streaming analytics capability allows for preprocessing, visualization and analysis of data that’s moving through Kafka queues. The enterprise-grade nature of the Striim platform helps reduce complexity with data delivery guarantees with high performance, security, reliability, and manageability in production environments,” stated Alok Pareek, co-founder and EVP of Products at Striim. “With the release of 3.8, Striim offers unique features that make streaming data ingestion and SQL-processing on Kafka significantly faster and easier.”

Striim remains focused on facilitating cloud integration across a broad range of cloud environments. With this latest release, users are now able to integrate real-time data directly into Microsoft Azure HDInsight to support Hadoop and Kafka implementations on Azure. In addition, Amazon users can now read data from AWS S3 to share with on-premises systems and other cloud applications in real time, and feed data into AWS S3 faster and at-scale, leveraging new multi-threaded delivery with automated thread management. Version 3.8 can also integrate real-time data directly into Amazon Kinesis to support stream processing in AWS.

Striim has also introduced improved data exploration by enabling users to search streaming data and compare real-time and historical data, without requiring coding. These new features enable business users to quickly and easily identify critical and unusual trends via the live dashboards. Striim further offers the ability to embed Striim charts into custom web sites, allowing users to easily share Striim data and insights to users across the enterprise.

Notably in this latest release, Striim also announces support for pseudonymization for GDPR compliance. The platform enables several data privacy initiatives including data masking and real-time auditing capabilities to facilitate compliance with the impending EU regulations. Read more in the related press release, “Striim Offers Data Pseudonymization for GDPR Compliance.”

For more information regarding version 3.8 of the Striim platform, including enhancements for Apache Kafka, cloud integration, data exploration, and GDPR compliance, please read the related blog post, or download the Striim platform for free.

About Striim

The Striim^™ (pronounced “stream”) platform is an enterprise-grade streaming integration solution. The platform makes it easy to ingest and process high volumes of streaming data – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use the Striim platform to deliver real-time data integration, analysis and visualization for a wide variety of use cases including data security, fraud, SLA monitoring, customer experience, replication, data modernization, and Internet of Things (IoT) analytics. Please visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform.

Striim Platform Enables Data Privacy Including Data Masking and Real-Time Auditing Capabilities to Speed Compliance with Upcoming EU Data Regulation

PALO ALTO, CA — January 16, 2018 — Striim, Inc., provider of the leading end-to-end, real-time data integration and streaming analytics platform, announced today its capabilities in delivering data pseudonymization to help organizations achieve compliance with the EU’s General Data Protection Regulation (GDPR). In response to the

regulation’s strong focus on data privacy, the Striim^™ platform helps companies to continuously capture real-time data, and provide pseudonymization of direct identifiers by filtering, enriching, masking, obfuscating, and encrypting data while streaming. The Striim 3.8 product release includes built-in data masking functions that users can quickly implement through its intuitive UI and wizards-based development environment.

“Companies faced with GDPR compliance are in a race to modernize their data architectures in order to meet the regulation’s stringent privacy demands, and closely monitor their dynamically changing compliance activities,” stated Steve Wilkes, co-founder and CTO of Striim. “Adopting a streaming data platform with built-in data masking enables organizations to more quickly, easily, and intelligently attain and maintain GDPR compliance, avoiding potentially harsh fines.”

Along with support for pseudonymization, Striim streaming integration capabilities further enable users to:

• Create audit trails for completed compliance activities, such as deleting or masking of identifiable data, by capturing GDPR-related change data in real time, and storing it for compliance tracking and reporting
• Perform continuous audits of completed compliance actions using multi-source correlation against an in-memory cache of required actions
• Create compliance reports easily by tracking database and other data source changes in real time and via Striim’s file data lineage
• Receive real-time alerts in the event of breach, and monitor workflow steps for risk assessment via the Striim platform’s visualization capabilities

GDPR goes into effect on May 25, 2018. To learn more about the capabilities of the Striim Platform for GDPR compliance, please read our blog post, “Speeding GDPR Compliance with a Streaming Data Architecture.”

For more information regarding the latest release of the Striim platform, version 3.8, please read the related press release, “Striim Enhances SQL-Based Stream Processing for Apache Kafka,” read the related blog posts, or download the Striim platform for free.

About Striim

The Striim^™ (pronounced “stream”) platform is an enterprise-grade, real-time data integration and intelligence solution. The platform makes it easy to ingest and process high volumes of streaming data – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use the Striim platform to deliver real-time data integration, analysis and visualization for a wide variety of use cases including data security, fraud, SLA monitoring, customer experience, replication, data modernization, and Internet of Things (IoT) analytics. Please visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform.

Company Also One of ‘25 Best Companies for Women’

PALO ALTO, CA — December 1, 2017 — Striim^™, Inc., provider of the leading end-to-end, real-time data integration and streaming analytics platform, announced today that it has been chosen by Comparably as one of the ‘50 Best Places to Work’ among small/midsize US companies, ranking #18 of 50. The complete list was published on BusinessInsider.

Comparably also recognized Striim as one of the ‘25 Best Small/Midsize Companies for Women’ in the US, as reported in USA Today.

Striim is being recognized in part because of its A+ rating on Comparably. Striim is ranked among the Top 5 Companies in the US (compared to companies of similar size) in the following November 2017 lists:

• Top 5 Leadership Team – 1^st with a score of 98/100
• Top 5 CEO Rating – Tied for 2^nd with a score of 98/100
• Top 5 Overall Culture in San Francisco – Tied for 1^st with a score of 93/100
• Top 5 eNPS (employee Net Promoter Score) – Tied for 1st with a score of 100/100

Additionally, Striim is ranked among the Top 5% of similarly sized companies in the US for:

• Future Outlook of Company
• Quality of Coworkers
• Compensation
• Diversity
• Gender

Compared to key competitors, Striim ranks 1st in all categories: CEO Rating, Overall Culture, Gender, Diversity and eNPS. View further results by visiting Striim’s page on Comparably.

“It’s a great honor to be recognized as an overall Best Place to Work, as well as a Best Company for Women, by Comparably,” stated Katherine Rincon, SVP of Marketing at Striim. “Striim works hard to encourage a culture that fosters the core values that Comparably identifies, and we believe this recognition is a testament to our ongoing efforts. Furthermore, as a strong proponent of the Women in Tech movement, Striim makes it a priority to offer an environment that promotes collaboration and inclusivity among all employees in the hopes of driving a well-balanced workforce in high tech.”

“Comparably’s annual Best Places to Work list represents the top 50 companies among thousands of U.S. businesses. This prestigious award showcases the best overall company cultures as rated by their own employees. Team members leave the most comprehensive ratings and reviews to help Comparably determine the most in-depth and accurate account of the best places to work. Striim’s inclusion on the list is a reflection of its stellar team, leaders, compensation, and benefits,” added Jason Nazar, CEO, Comparably.com.

This is the third workplace-related award Striim has won in 2017, most recently being named the ‘#1 Top Workplace’ in the Small Companies category by the Bay Area News Group, as well as a ‘Best Place to Work’ by the San Francisco Business Times and Silicon Valley Business Journal.

About Striim

The Striim^™ (pronounced “stream”) platform is an enterprise-grade, real-time data integration and intelligence solution. The platform makes it easy to ingest and process high volumes of streaming data – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use the Striim platform to deliver real-time data integration, analysis and visualization for a wide variety of use cases including data security, fraud, SLA monitoring, customer experience, replication, data modernization, and Internet of Things (IoT) analytics. Please visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform.

​About Comparably​

Comparably is a compensation, culture, and career monitoring site in the U.S. with the most comprehensive and uniquely structured data that can be segmented by gender, ethnicity, age, location, tenure, company size, equity, title/department, and education. The site has become a popular resource for employees to anonymously input and compare salaries, rate their workplace culture and CEOs, and match with their dream jobs. With ​3​ million ratings from half a million employees across 30,000 U.S. companies​, approximately 5,000 businesses use Comparably’s employer branding and jobs tools to recruit and retain talent.

The Striim Platform Awarded Best Big Data Product: Real-Time Analytics;
Company Recognized as Top 5 Vendors to Watch 

PALO ALTO, CA  — September 25, 2017 — Striim, Inc., provider of the leading end-to-end, real-time data integration and streaming analytics platform, is honored to have been awarded the Datanami Readers’ Choice Awards for both:

• Best Big Data Product or Technology: Real-Time Analytics
• Top 5 Vendors to Watch

 

 

These awards were presented today during the Strata Data Conference in New York.  The list of winners was revealed on the Datanami website, located at www.datanami.com.

“Since all data is inherently streaming, the need for real-time analytics will only become more prevalent for enterprise companies to enable timely and effective data-driven decisions,” stated Steve Wilkes, founder and CTO of Striim. “We’re honored to be recognized for providing the Best Product for Real-Time Analytics, as well as a Top 5 Vendor to Watch by Datanami readers and editors.”

The Datanami Readers’ and Editors’ Choice Awards are determined through a nomination and voting process with input from the global Big Data community, as well as selections from the Datanami editors, to highlight key trends, shine a spotlight on technological breakthroughs, and capture a critical cross section of the state of the industry. These awards are revealed each year to kick off the annual Strata Data Conference, which showcases data science, machine learning and analytics for business and technical professionals.

“Datanami is the premiere news portal covering Big Data and advanced-scale analytics, and its readers are at the forefront of the global data science community. By taking part in our annual Readers’ Choice program, our readership has the privilege of honoring the top organizations making strides in Big Data today,” said Tom Tabor, CEO of Tabor Communications, publisher of Datanami.  “The Datanami Readers’ and Editors’ Choice Awards voice not only our support, but also the appreciation from the community at large, and we couldn’t be more proud to celebrate these organizations and their accomplishments. Our congratulations go out to all the winners.”

More information on these awards can be found at the Datanami website (www.datanami.com) or on Twitter through the following hashtag: #DatanamiAwards.

This is the second year Striim has been recognized by Datanami readers and editors, winning the 2016 Award for Best Big Data Product: Internet of Things.

About Datanami
Datanami is one of the premier online portals covering big data, produced by Tabor Communications, Inc. (TCI) a leading international media, advertising and communications company dedicated to covering advance computing technologies for science, research and business. Datanami is a premier online portal covering big data. It is produced by Tabor Communications, Inc. Receive a complimentary subscription to the weekly Datanami e-newsletter by visiting datanami.com/subscribe. View daily news at www.datanami.com.

About Striim

The Striim^™ (pronounced “stream”) platform is an enterprise-grade, real-time data integration and intelligence solution. The platform makes it easy to ingest and process high volumes of streaming data – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use the Striim platform to deliver real-time data integration, analysis and visualization for a wide variety of use cases including data security, fraud, SLA monitoring, customer experience, replication, data modernization, and Internet of Things (IoT) analytics. Please visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform.

End-to-End, SQL-based Streaming Data Platform Simplifies and Speeds Delivery of Kafka-driven Analytics Applications; Augments Exactly Once Processing Guarantees

PALO ALTO, CA, August 28, 2017 – Striim, Inc., provider of the leading end-to-end, real-time data integration and streaming analytics platform, today announced that it has launched version 3.7.4 of the Striim^™ platform, bolstering its ease of use, connectivity, manageability, and scalability for delivering streaming analytics applications involving Apache Kafka.

The Striim platform’s enterprise-grade, Apache Kafka integration and SQL-based Kafka data processing has been generally available for several product releases, and boasts numerous deployments among Fortune 500 customers. These customers are using the Striim solution to enable high-volume, high-velocity data correlation and analytics involving Kafka data, along with other enterprise data sources. Based on input from these production customers, Striim has further strengthened the platform’s ease-of-use, connectivity, manageability, and scalability in support of Kafka-related deployments.

“It’s a daunting challenge, integrating multiple tiers when building Streaming Applications with Kafka as an underlying message store. Striim makes that problem go away,” said Alok Pareek, co-founder and EVP of Products at Striim. “For several years, Striim has been the leader in defining an integrated Streaming Data Platform that includes not just Kafka, but also SQL-based applications and universal connectivity with a wide variety of event delivery semantics. With the 3.7.4 release, we have added Kafka diagnostic utilities, advanced monitoring metrics, and additional connectors to reduce the complexity of managing Kafka in production environments.”

Striim 3.7.4 introduces new utilities specifically designed to speed the adoption of Kafka as part of an end-to-end flow. These utilities help users quickly and easily scale Kafka applications by gathering baseline performance metrics for real world applications that involve parsing, formatting, buffer management, and external connectivity. These enhancements in the Kafka producer, consumer, and broker metrics help increase the monitoring, manageability and scalability of Kafka streaming applications.

SQL-query-based processing and analytics, a drag-and-drop UI, configuration wizards, and custom utilities such as these make the Striim platform the easiest solution to deliver end-to-end streaming integration and analytics applications involving Kafka.

In addition, Striim has bolstered the platform’s connectivity with hundreds of data sources and targets to include a new real-time Smart NetFlow Reader. The Striim Cloud Readiness offering for Kafka has also been expanded, enabling writing from Kafka queues to AWS Redshift and S3, Google Cloud, and several Microsoft Azure solutions including Azure SQL Server, Azure Storage, and Azure HDInsight.

In the area of Kafka stream processing, Striim has augmented its solution’s Exactly Once Processing (E1P) guarantees across the data pipeline, spanning the entire end-to-end streaming architecture. Because Apache Kafka is built into the Striim platform, a parallel Kafka stream can act as an intermediary persistent store, helping to ensure that users are processing and writing data once and only once.

About Striim + Apache Kafka

The Striim platform offers end-to-end, real-time data integration and streaming analytics across all aspects of streaming data management, including Kafka. With the Striim solution, companies can continuously ingest from Kafka as a data source, and/or continuously write to Kafka as a target. The Striim offering also ships with Apache Kafka built into the platform, allowing Kafka to become transparent to the user, and its capabilities harnessed without having to code APIs.

Read more about how Striim helps companies get more from their Apache Kafka implementation in our new blog series, “Making the Most of Apache Kafka.” Or download Striim v3.7.4 and try out these recent enhancements for Kafka users.

About Striim

The Striim^™ (pronounced “stream”) platform is an enterprise-grade, real-time data integration and intelligence solution. The platform makes it easy to ingest and process high volumes of streaming data – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use the Striim platform to deliver real-time data integration, analysis and visualization for a wide variety of use cases including data security, fraud, SLA monitoring, customer experience, replication, data modernization, and Internet of Things (IoT) analytics. Please visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform.

Contact:

Ryan Siss
Striim, Inc.
(650) 241-0680 ext. 238
ryan@striim.com

###

PALO ALTO, CA, July 25, 2017 – Striim, provider of the leading end-to-end data integration and streaming analytics platform, announced today that Striim for IoT has received the 2017 Product of the Year Award from IoT Evolution magazine and IoT Evolution World, the leading magazine and Web site covering IoT technologies.

“Striim for IoT was developed to meet the three primary challenges to effective IoT data management: managing the tsunami of data generated by IoT devices; integrating IoT data with the enterprise and analyzing it in real time; and addressing security issues associated with the explosion of connected devices,” stated Steve Wilkes, Co-Founder and CTO of Striim. “We’re thrilled that Striim for IoT has been recognized so highly by IoT Evolution.”

“The solutions selected for the IoT Evolution Product of the Year Award reflect the diverse range of innovation driving the machine-to-machine market today. It is my honor to congratulate Striim for their innovative work and superior contribution to the rapidly evolving IoT industry,” said Carl Ford, CEO of Crossfire Media, a co-publisher of IoT Evolution.

“It is my pleasure to recognize Striim for IoT, an innovative solution that earned the company the 2017 IoT Evolution Product of the Year Award,” said Rich Tehrani, CEO, TMC. “I look forward to seeing more innovation from Striim in the future.”

Award winners will be published in the next issue of IoT Evolution magazine.

Along with the 2017 IoT Evolution Product of the Year Award, Striim was also presented with the Award for Best IoT-Specific Code or Development Solution at IoT Evolution Expo in July.

Learn why Striim for IoT was recognized so highly by IoT Evolution by reading the related blog post, the Striim for IoT press release, or Striim’s solutions page for IoT.

About Striim

Striim® (pronounced “stream”) is an enterprise-grade, real-time data integration and intelligence platform. Striim makes it easy to ingest and process high volumes of streaming data – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use Striim to deliver real-time data integration, analysis and visualization for a wide variety of use cases including data security, fraud, SLA monitoring, customer experience, replication, data modernization, and Internet of Things (IoT) analytics. Please visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform.

“End-of-day batch processing is great for understanding what happened yesterday. Real-time streaming analytics provides up-to-the-millisecond intelligence.” This is how Joel Shore, news writer for TechTarget’s SearchCloudApplications site, highlights the benefits of real-time streaming analytics as opposed to traditional methods in his Q&A session with Steve Wilkes, founder and CTO of Striim.

Life moves at an event-driven pace, not batch capture, so being armed with information the moment data is created is important, especially in fast-paced environments such as finance and retail where the data is only actionable for so long.

One standout conversational topic in the interview is when Steve talks about the importance of in-memory processing for streaming analytics. Based on the incredible amount of data the world is generating today, it’s no longer feasible to store data and analyze it later. Steve states, “When you think about real-time processing, you have to decide: What is it that I need to know right now, and what is it about my data that could make it volatile or perishable?”

Rather than landing on disk fist, in-memory computing (IMC) allows companies to gain insights from their data while it’s streaming before it loses operational value, thus allowing for critical data-driven decision-making.

While at Cloud Expo, Steve presented a track entitled, “Streaming Analytics at the Intersection of IoT, Enterprise and Cloud: Four Case Studies.” Following this session, Joel and Steve discussed at length how streaming analytics can be used in environments such as cloud, on-premise and at the edge. In their Q&A, they further discuss the flexibility and integration of streaming analytics in these digital environments.

With memory costs dropping and processing growing more powerful, streaming analytics is the evolutionary next step in data management. Learn more about what Steve has to say by reading this Q&A: What You Need to Know About Real-Time Streaming Analytics.

In a feature article on Cloud Computing Magazine, Steve Wilkes spoke with TMCNet’s Eric Linask about the capabilities of Striim and how our platform is helping modernize the way enterprise companies interact and use data to drive actionable business intelligence – all in real time.

An important element of the conversation pertained to the current adoption and future direction of data management. With data being born from a variety of sources, Steve discussed how the storage and analysis of these volumes of data is one of the main obstacles in providing access to real-time business information.

The world is producing more data than can be physically stored, so it’s critical for enterprise companies to 1) ingest and store only the most relevant information, and 2) gain insights on this data before it loses operational value.

To put it in perspective, Steve provided this great consumer analogy on the navigation app, Waze:

“‘Imagine sitting in traffic for several hours, then getting home and receiving an email or alert telling you there was an accident three hours ago and try a different route,’ he says. ‘That’s not very useful.’”

This same concept applies to the enterprise – companies need to be able to act on their data while it’s relevant, and a “streaming-first” approach is the only logical way to do this moving forward.

Read the full article: Data Striim-ing for Real-time Actionable Business Intelligence.

PALO ALTO, CA, July 6, 2017 – Striim, provider of a market-leading end-to-end, real-time data integration and intelligence platform, today announced it has been recognized as a 2017 Hot Vendor in Streaming Analytics by Aragon Research in their report, Hot Vendors in AI & Streaming Analytics, 2017.

In this year’s report, Aragon Research recommends that, “Enterprises that need a combined streaming data ingestion, integration and analytics solution, including CDC, that can meet demanding requirements for performance, scalability and security out-of-the-box, or simply want to deliver custom streaming analytics applications quickly and easily with in-house resources, should evaluate Striim.”

Each year, Aragon Research selects Hot Vendors across multiple markets that are doing something truly new or different. They may have new technology that expands capabilities, a new strategy that opens up markets, or just a new way of doing business that makes them worth evaluating.

The Striim platform combines real-time data integration and streaming analytics in a single, end-to-end platform that can ingest, preprocess and analyze any type of data, from any source, before landing on disk. Businesses can build visual dashboards to set up workflows and alerts to manage their data, allowing them to make informed decisions based on up-to-the-second information.

“The way that enterprises interact and utilize data is going through a fundamental change, driven by the growing number of devices and volume of data they produce,” stated Steve Wilkes, co-founder and CTO of Striim. “Striim is at the cutting edge of providing solutions to help enterprise companies modernize to a ‘streaming-first’ data architecture instead of relying on artificial and archaic data management models. We’re honored to be recognized for our work by being included as a 2017 Hot Vendor in streaming analytics by Aragon Research.”

Learn more about Striim’s inclusion as a 2017 Hot Vendor in Streaming Analytics.

About Striim

Striim® (pronounced “stream”) is an enterprise-grade, real-time data integration and intelligence platform. Striim makes it easy to ingest and process high volumes of streaming data – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use Striim to deliver real-time data integration, analysis and visualization for a wide variety of use cases including data security, fraud, SLA monitoring, customer experience, replication, data modernization, and Internet of Things (IoT) analytics. For more information, please visit www.striim.com, read our blog at www.striim.com/blog,  follow @striimteam, or download the Striim platform.

About Aragon Research 
Aragon Research is the newest technology research and advisory firm. Aragon delivers high impact, interactive research, consulting, and advisory services to provide enterprises the insight they need to help them make better technology and strategy decisions. Aragon Research serves business and IT leaders and has a proven team of veteran analysts. For more information, visit https://www.aragonresearch.com.

 

Note: Aragon Research does not endorse vendors, or their products or services that are referenced in its research publications, and does not advise users to select those vendors that are rated the highest. Aragon Research publications consist of the opinions of Aragon Research and Advisory Services organization and should not be construed as statements of fact. Aragon Research provides its research publications and the information contained in them “AS IS,” without warranty of any kind.

Company earns top spot in Small Companies category of annual award

PALO ALTO, CA, June 27, 2017 – Striim, provider of the leading end-to-end, real-time data integration and intelligence platform, today announced it has been awarded the #1 ranking in the Small Companies category of the 2017 Top Workplaces award by the Bay Area News Group. This year, the Small Companies category includes 45 of the top organizations in the San Francisco Bay Area.

The Top Workplaces lists are based solely on the results of an employee feedback survey administered by WorkplaceDynamics, LLC, a leading research firm that specializes in organizational health and workplace improvement. Several aspects of workplace culture were measured, including Alignment, Execution, and Connection, just to name a few.

“It is truly an honor to be recognized as the #1 small company to work for in the Bay Area by an organization as well-regarded as the Bay Area News Group,” said Katherine Rincon, SVP of Marketing at Striim. “There is an enormous amount of respect and admiration among the Striim Team. We genuinely believe in the solution we’re providing, and thoroughly enjoy working together (and celebrating together) to make the Striim vision a reality.”

“The Top Workplaces award is not a popularity contest. And oftentimes, people assume it’s all about fancy perks and benefits.” says Doug Claffey, CEO of WorkplaceDynamics. “But to be a Top Workplace, organizations must meet our strict standards for organizational health. And who better to ask about work life than the people who live the culture every day—the employees. Time and time again, our research has proven that what’s most important to them is a strong belief in where the organization is headed, how it’s going to get there, and the feeling that everyone is in it together. Claffey adds, “Without this sense of connection, an organization doesn’t have a shot at being named a Top Workplace.”

About Striim

Striim™ (pronounced “stream”) is an enterprise-grade, real-time integration + intelligence platform. Striim makes it easy to ingest high volumes of streaming data – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use Striim to deliver real-time integration, analysis and visualization for cybersecurity, fraud, customer experience, replication, data modernization, and Internet of Things (IoT) analytics. For more information, please visit www.striim.com, read our blog at www.striim.com/blog or follow @striimteam. The fully loaded Striim platform is also available for download.

About WorkplaceDynamics, LLC

Headquartered in Exton, PA, WorkplaceDynamics specializes in employee feedback surveys and workplace improvement. This year alone, more than two million employees in over 6,000 organizations will participate in the Top Workplaces™ campaign—a program it conducts in partnership with more than 40 prestigious media partners across the United States. Workplace Dynamics also provides consulting services to improve employee engagement and organizational health. WorkplaceDynamics is a founding B Corporation member, a coalition of organizations that are leading a global movement to redefine success in business by offering a positive vision of a better way to do business.

Company joins the ranks of influential candidates making an impact in the data management and analysis space

PALO ALTO, CA, June 15, 2017 – Striim™, provider of the leading end-to-end, real-time data integration and intelligence platform, today announced it has been included in Database Trends and Applications (DBTA) magazine’s fifth annual “DBTA 100: The Companies That Matter Most in Data,” a special list that salutes today’s top companies in data management and analysis.

“By addressing streaming integration problems first, Striim allows you to collect real-time data – whether it originates in a database, the web, from machines, or IoT devices – and efficiently correlate and analyze it to make it useful the instant it is created,” shares Steve Wilkes, Founder and CTO of Striim. “As the industry continues to gravitate towards and adopt a ‘streaming-first’ approach, it is an honor to be recognized by DBTA as an innovator and disruptor in the data management and analysis landscape.”

The “DBTA 100” includes a wide variety of candidates, from long-standing industry veterans to new big data vendors disrupting the status quo. The list recognizes companies based on their presence, execution, vision, and innovation in delivering products and services to the marketplace. All 100 companies are highlighted in the June edition of Database Trends and Applications magazine and on www.dbta.com.

“We’re excited to announce our fifth annual list, as the industry continues to grow and transform,” remarked Thomas Hogan, Group Publisher at Database Trends and Applications. “Today, more than ever, businesses are looking for ways to manage and leverage their information resources to create new opportunities and deliver a real competitive advantage. A fundamental change is taking place where every business is also moving toward becoming a data business. This list seeks to highlight those companies that have been successful in establishing themselves as unique resources for data professionals and stakeholders.”

The “DBTA 100” is compiled annually by the editorial staff at Database Trends and Applications. Please click on the dedicated links to view this year’s selections, as well as Steve Wilkes’ “View from the Top” section, which provides further information on Striim and the capabilities of the platform.

About Striim
Striim™ (pronounced “stream”) is an enterprise-grade, real-time integration + intelligence platform. Striim makes it easy to create streaming data pipelines – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use Striim to deliver real-time analysis and visualizations for fraud/cybersecurity, customer experience/QoS, replication risk management, and Internet of Things (IoT) analytics. For more information, please visit www.striim.com, read our blog at www.striim.com/blog or follow @striimteam. The fully loaded Striim platform is also available for download.

About Database Trends and Applications
Database Trends and Applications (DBTA), published by Information Today, Inc., is a bimonthly magazine that delivers advanced trends analysis and case studies in data management and analysis developed by a team with more than 25 years of industry experience. Visit www.dbta.com for subscription information. DBTA also delivers groundbreaking market research exclusively through its Unisphere Research group.

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Contact:
Ryan Siss
Striim, Inc.
(650) 241-0680 ext. 238
ryan@striim.com

MILPITAS, Calif. and PALO ALTO, Calif., May 23, 2017 – Esgyn Corporation, the leader in Converged Big Data solutions that empower global enterprises to realize the potential of Big Data, has partnered with Striim, provider of an end-to-end, real-time data integration and streaming analytics platform, to deliver a solution that combines the power of EsgynDB with Striim’s Change Data Capture (CDC) capabilities, which together enables workloads to be offloaded from expensive transactional systems to Hadoop.

Today, enterprises are deploying, or have deployed, their data lakes on Hadoop, but are challenged by how to access the data stored in the lake in meaningful ways, or they are struggling to realize the promised return on their data lake investments.  Meanwhile, ever growing user and customer demands for access to data in near real-time is putting immense pressure on IT departments to service these demands from their expensive transactional systems.  The demands on the traditional transactional data stores are pushing these systems to their limits, both the limits of scale, and the limits of IT budgets.

The solution is to service these new and growing demands directly from the data lake, by offloading the work from traditional systems.  The challenge is twofold: 1) how to keep the data lake up to date, and 2) how to easily access that data.  Together the Striim platform and EsgynDB solve both these challenges with an enterprise ready solution, making workload offloading a reality.

Striim provides a non-intrusive, end-to-end solution for moving change data from traditional transactional systems to EsgynDB, ensuring your data lake is up to date in milliseconds. CDC, as facilitated by Striim and EsgynDB, applies ACID transactions in a consistent way.  That is, a transaction on the source can include multiple updates to multiple tables and this transaction is applied consistently in EsgynDB.

EsgynDB, a massively parallel enterprise class SQL-on-Hadoop database, brings all the power of a traditional RDBMS to Hadoop.  EsgynDB enables you to easily access your data lake with whatever queries your workloads demand, from transactions, to reporting, to BI, and analytics, all at the same time.

“Striim is excited to partner with Esgyn to deliver transactional data into EsgynDB. Deployed together, Esgyn’s relational engine on Hadoop and Striim’s real-time data integration capabilities – including low impact CDC – allow for real-time data flows from mission critical applications into enterprise data lakes,” said Sami Akbay, Founder and EVP at Striim. “The combined solution removes complexity from Big Data integration projects and helps developers rapidly build and deploy next generation streaming and big data applications.”

“The power of these two technologies and these two companies coming together provides enterprises with an extremely attractive solution that helps realize the promised ROI of the enterprise data lake,”  said Hong Ding, CEO of Esgyn.

For more information, please contact us at info@esgyn.com or info@striim.com

About Esgyn Corporation

Esgyn™ is the leader in Converged Big Data solutions that empower global enterprises to realize the potential of Big Data. With the industry’s first All-in-One SQL Database for Big Data, Esgyn is leading the way enterprises cope with ever increasing data management needs on-premises and in the cloud.

www.esgyn.com    www.esgyn.cn

About Striim

Striim™ (pronounced “stream”) is an enterprise-grade, real-time integration + intelligence platform. Striim makes it easy to create streaming data pipelines – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. For more information, please visit www.striim.com, read our blog at www.striim.com/blog or follow @striimteam. Download the fully loaded Striim platform.

SOURCE Esgyn Corporation

Related Links

https://www.esgyn.com

Platform integrates IoT data and analytics with the enterprise for context-rich, real-time insights and IoT security

PALO ALTO, CA, May 16, 2017 – Striim^™, provider of the leading end-to-end, real-time data integration and intelligence platform, today introduced Striim for IoT, a comprehensive streaming data management solution for the Internet of Things (IoT). Striim for IoT helps companies address three of the most difficult data challenges of IoT infrastructure: 1) managing the tsunami of data generated by IoT devices, 2) integrating IoT data with the enterprise and analyzing it in real time, and 3) addressing security issues associated with the explosion of connected devices. Through enterprise-grade, real-time data integration combined with streaming analytics and visualization, Striim enables IoT-driven companies to make fast, informed decisions based on context-rich, real-time insights.

Managing the Tsunami of IoT Data Through Real-Time Edge Processing

In a recent white paper, IDC predicts that, over the next 8 years, the amount of data created per year will increase 10X to over 160 zettabytes – with 95% originating from the world of IoT. However, the study also indicates that only a very small fraction of that data can be stored.

In its simplest use case, the Striim platform enables immediate in-flight filtering, transformation and aggregation of IoT data at the edge. This allows businesses to store only the IoT data they need, and to extend the value of existing storage investments.

Integrating IoT Data and Analytics with the Enterprise

“Even though many companies are using edge analytics for their IoT data, they are really limiting themselves by evaluating and acting on siloed data,” said Steve Wilkes, founder and CTO of Striim. “There are many other sources of data to be considered, such as transactional data, log files, message queues and events, that, when correlated with IoT data, can provide a well-rounded view for decision makers within a company.”

Business operations that leverage IoT devices are not driven solely by IoT data. As such, Striim enables companies to integrate massive volumes of sensor and device data in real time with a wide variety of streaming data sources across the enterprise, and perform streaming data processing and analytics wherever it makes most sense for the business – at the edge, on-premise, or in the cloud. This all occurs while data is in-flight, before the information loses operational value, becoming less relevant and actionable. The resulting timely and context-rich insights enable management to make informed decisions and take necessary actions to achieve key objectives such as improving operational efficiency, driving intelligent innovation, and counteracting IoT-related security threats.

Introducing Striim Edge Controller

As a key component of Striim for IoT, Striim is pleased to preview Striim Edge Controller, a new management and monitoring framework that allows users to easily manage hundreds of edge servers in a scalable fashion. With Striim Edge Controller, users can build and modify edge processing and analytics flows in the Striim Server, and easily push them to any edge servers they choose. Similarly, via the Striim Server, users can easily monitor the status of the Striim platform running on edge servers, and gain a comprehensive real-time view of their streaming integration and analytics solution for IoT.

Striim at IoT World

Striim is a Platinum sponsor of IoT World.

Steve Wilkes, founder and CTO of Striim, will be presenting in both the IoT Architecture and IoT Analytics tracks at IoT World:

• “Leveraging Streaming Analytics to Combat Cyberattacks at the Edge” – Wednesday, May 17 at 2:20 p.m.
• “Architecting for Continuous IoT Analytics” – Thursday, May 18 at 1:40 p.m.

Please visit us at the Striim booth (#218) to learn more about the Striim for IoT solution.

Interactive Discussion with Datanami and Striim on the Tsunami of IoT Data

Join Alex Woodie, Managing Editor of Datanami, and Steve Wilkes, founder and CTO of Striim, for an interactive live discussion on “Strategies for Managing the Oncoming Tsunami of Data” on Wednesday, May 24 at 10am PT/1pm ET/5pm UTC.

About Striim

Striim™ (pronounced “stream”) is an enterprise-grade, real-time integration + intelligence platform. Striim makes it easy to create streaming data pipelines – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use Striim to deliver real-time analysis and visualizations for fraud/cybersecurity, customer experience/QoS, replication risk management, and Internet of Things (IoT) analytics. For more information, please visit www.striim.com, read our blog at www.striim.com/blog or follow @striimteam. The fully loaded Striim platform is also available for download.

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Contact:

Ryan Siss
Striim, Inc.
(650) 241-0680 ext. 238
ryan@striim.com

PALO ALTO, CA, May 1, 2017 – Striim, Inc., provider of an end-to-end, real-time data integration and streaming analytics platform, announced today that CRN^®, a brand of The Channel Company, has named Striim to its 2017 Big Data 100 list. This annual list recognizes the ingenuity of tech suppliers bringing to market innovative offerings for harnessing the increasingly huge amounts of data generated in today’s digital world, raising the bar for data management and challenging established IT practices.

Businesses are constantly grappling with the exploding volume, speed and variety of information they produce and utilize on a daily basis to remain competitive. Solution providers are on a never-ending quest to tame this Big Data with innovative tools, technologies and services that can convert it into meaningful, usable insights.

In response to this challenge, the CRN editorial team has identified the IT vendors at the forefront of data management, business analytics and infrastructure technologies and services. The resulting Big Data 100 list is a valuable guide for solution providers seeking out key Big Data technology suppliers.

The Striim platform, which combines real-time data integration and streaming analytics into a single, end-to-end solution, provides enterprises with the ability to capture massive volumes of streaming data from a wide variety of sources – such as enterprise databases, IoT sensors and log files – and deliver it to many different types of systems, all in milliseconds. Through Striim, data is captured and analyzed in-flight, allowing enterprises to filter, transform, enrich and organize it before it lands on disk. This equips enterprises to build real-time dashboards, set up alerts and manage workflows that help provide insights for informed business decisions.

“Businesses everywhere are faced with managing information streams of unprecedented volume and complexity, requiring more powerful and efficient tools than ever before for capturing, storing, organizing, securing and analyzing data,” said Robert Faletra, CEO of The Channel Company. “CRN is pleased to present the 2017 Big Data 100, a list of vendors whose ingenuity and creative problem-solving have introduced remarkable new ways to help solution providers tackle this mammoth task. Congratulations to these Big Data aces, who have not only kept pace with the rapidly evolving demands of the data management field, but also innovated and challenged the status quo.”

“As data volumes continue to grow exponentially, it is increasingly critical for enterprises to pre-process and analyze data in-flight, in real time, before it lands a Data Lake,” stated Katherine Rincon, Senior Vice President of Marketing, Striim. “All of us at Striim are working hard to create a user-friendly platform that allows companies to harness and utilize the whitewater flow of data that is continuously streaming into their enterprise. We are honored that our platform has been recognized by CRN as an innovator in providing solutions that help meet the most extreme data needs, and look forward to continuing to bolster our offerings to keep pace with enterprise demand.”

The 2017 Big Data 100 list is available online at www.crn.com/bigdata100.

About Striim

Striim™ (pronounced “stream”) is an enterprise-grade, real-time integration + intelligence platform. Striim makes it easy to create streaming data pipelines – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use Striim to deliver real-time analysis and visualizations for fraud/cybersecurity, customer experience/QoS, replication risk management, and Internet of Things (IoT) analytics. For more information, please visit www.striim.com, read our blog at www.striim.com/blog or follow @striimteam. The fully loaded Striim platform is also available for download.

About The Channel Company

The Channel Company enables breakthrough IT channel performance with our dominant media, engaging events, expert consulting and education, and innovative marketing services and platforms. As the channel catalyst, we connect and empower technology suppliers, solution providers and end users. Backed by more than 30 years of unequaled channel experience, we draw from our deep knowledge to envision innovative new solutions for ever-evolving challenges in the technology marketplace. www.thechannelco.com

©2017. The Channel Company, LLC. CRN is a registered trademark of The Channel Company, LLC. All rights reserved.

The Channel Company Contact:

Melanie Turpin
The Channel Company
(508) 416-1195
mturpin@thechannelco.com