Resources

Striim’s real-time enterprise data integration platform, is a next generation platform that can ingest real-time data from a variety of sources and rapidly deliver it to your cloud systems.

Alok Pareek, Founder and EVP of Products at Striim, presents “Streaming Relational Data into Google BigQuery: Real World Best Practices” at the Big Data LDN conference on September 24, 2020.

Steve Wilkes, Founder and CTO of Striim, presents “A Fast Data Approach to Minimising Cloud Adoption Risks” at Big Data LDN conference on September 23, 2020.

Striim Product Demo Oracle To Cloud Spanner In this demo, you are going to see how you can use Striim to continuously move data from Oracle to Google Cloud Spanner. We will show you how to use Striim’s wizards and intuitive UI to build data flows; run the data flows to collect data from Oracle […]

Striim Migration Service for PostgreSQL to Cloud SQL for PostgreSQL In this tutorial you will learn how you can use Striim to migrate an on-premise PostgreSQL database to Cloud SQL for PostgreSQL in Google Cloud, through Striim’s wizard-based UI and intuitive data pipelines, with zero database downtime. Striim Migration Service for Oracle to Cloud SQL […]

In this demo, you are going to see how you can use Striim to continuously move data from Oracle to Cloud Spanner.

In this demo, you are going to see how you can use Striim to continuously move data from SQL Server to Cloud SQL for SQL Server.

In this demo, you are going to see how you can use Striim to continuously move data from MySQL to Cloud SQL for MySQL.

In this demo, you are going to see how you can use Striim to continuously move data from PostgreSQL to Cloud SQL for PostgreSQL.

In this demo, you are going to see how you can use Striim to continuously move data from Oracle to Google BigQuery.

In this demo, you are going to see how you can use Striim to continuously move data from Oracle to Azure DB for PostgreSQL.

In this demo, you are going to see how you can use Striim to continuously move data from Oracle to Cloud SQL for PostgreSQL.

Introducing Striim ROAR – Real-Time Offloading, Analytics and Reporting for Azure Database for PostgreSQL

In this demo, you are going to see how you can use Striim through Snowflake Partner Connect to migrate schemas and data to Snowflake from MySQL.

Speakers Alok Pareek, Founder EVP Products, Striim Neel Chinta, Tech Manager Engineering Databases, Macys As retailers strive to meet the growing expectations of shoppers, they are turning to Google Cloud to transform their businesses and tackle opportunities in an increasingly challenging industry. From optimizing inventory management, to increasing collaboration between employees across locations and roles, […]

Do you have plans to move critical systems to the cloud but have concerns about downtime, integration challenges, or data loss? Do you need to ensure your cloud-based systems have continuous, up-to-date data from existing on-premise or other cloud sources? What’s needed is an approach to help teams more easily make the move to the […]

You are going to see how you can move data, in real-time, from Oracle on-Premise to Google BigQuery running in the Google Cloud Platform using Striim and change data capture. You have data in lots of Oracle tables, on-premise. You want to move this into Google BigQuery for scalable low cost analytics, in real-time. How […]

In this video, learn why enterprises must stream data into Snowflake to take full advantage of this data warehouse built for the cloud. To learn more about Striim for Snowflake Data Warehouse, visit our Snowflake solution page.   Video Transcription:  You chose Snowflake to provide rapid insights into your data on a massive scale, on […]

In this video, you’ll learn how to enable real-time data warehousing for modern analytics through Streaming Integration with Striim to Azure SQL Data Warehouse. This demonstration shows how Striim can provide continuous data integration into Azure SQL Data Warehouse, via Azure Data Lake Store through a pipeline for the ingestion, storage, preparation and serving of […]

In this video, we will demonstrate how Striim can provide continuous data integration via CDC to Google Cloud SQL through a pipeline for the real-time collection, processing, and delivery of enterprise data, sourcing from Oracle on-prem. Are you looking to migrate to Google Cloud Platform? Start our free 90-day migration service today! To learn more […]

You have an application that retrieves and stores information in a database. You want faster response times so you utilize a Hazelcast Cache for rapid access to in-memory data. But other applications also make updates which leads to the cache being inconsistent with the database, and the database showing out-of-date information. Hazelcast Striim Hot Cache […]

In this webinar, Striim and Hazelcast are introducing the new Hot Cache functionality. This enables a Hazelcast cache to be continually updated by change from a database, ensuring it is always up to date. This solves the cache staleness issue that occurs when databases change outside of the data path that includes the cache. Try […]

Now that we’ve covered how to get up-and-running with applications, let’s take a look at data iPaaS for simple and complex data flows. What this is going to do is read real-time changes from the MySQL database as they’re happening and deliver them as-is into Cosmos DB. By default, Cosmos DB is a document database […]

Now that you have a high-level overview of the Striim platform, let’s discuss how you can build data iPaaS applications with Striim. You can deploy the entire platform in the cloud either by bringing your own license or as a metered iPaaS service. This gives you everything – it gives you all the sources, all […]

In this video, Steve Wilkes, founder and CTO of Striim, discusses how to utilize the Striim platform as a data integration platform as a service. To learn more about the Striim platform, go here. This was originally published as a blog post here.   Unedited Transcript: Let’s start with a bit of background on the […]

Alok Pareek, EVP of Products at Striim, and Codin Pora, Director of Partner Technology at Striim, provide a demo of the Striim platform at Google Cloud Next SF, April 2019. Alok goes into detail about how Google Cloud users can move real-time data from a variety of sources into their Google Cloud Spanner environment using […]

Alok Pareek, EVP of Products at Striim, and Codin Pora, Director of Partner Technology at Striim, provide a demo at Google Cloud Next SF, April 2019, on how the Striim platform can enable Google Cloud users to move real-time data from a variety of locations into their Cloud SQL environment Unedited Transcript: Great. So we […]

In this video you will see how Striim can help feed Cosmos DB in real-time through our wizard-based UI and intuitive data pipelines. Azure Cosmos DB is Microsoft’s globally distributed, multi-model database service. You have chosen Cosmos DB to store ever-increasing volumes of data and make this data available in milliseconds. However, most of your […]

In this video, Striim Founder and CTO, Steve Wilkes, discusses streaming integration, the need for stream processing and streaming SQL, and why they’re essential to real-world real-time solutions. This was originally published as a blog post here. To learn more about the Striim platform, go here.   Unedited Transcript: You’ve heard about streaming integration, the […]

In this cloud migration monitoring demo, we will show how, by collecting change data from source and target and matching transactions applied to each in real time, you can ensure your cloud database is completely synchronized with on-premise, and detect any data divergence when migrating from an on-premise database. This was originally published as a […]

Unedited Transcript: Adopting Amazon Web Services is important to your business, but why is real-time data movement through streaming integration, change data capture and stream processing necessary parts of this process? You’ve already decided that you want to adopt Amazon Web Services. This could be Amazon RDS, Amazon Aurora, Amazon Redshift, Amazon S3, Amazon Kinesis, […]

In this video, Striim Founder and CTO, Steve Wilkes, talks about moving data to Amazon Web Services in real-time and explains why streaming data integration to AWS – with change data capture (CDC) and stream processing – is a necessary part of the solution. To learn how Striim can help you continuously move real-time data […]

In this video, you’ll see how Striim can speed adoption of Azure Database for PostgreSQL using streaming data integration for the real-time collection, processing, and delivery of enterprise data, sourcing from Oracle on-premises. To learn about other Striim and Microsoft Azure solutions, go here. To learn more about the Striim platform, visit our platform overview […]

Striim CTO and Co-Founder, Steve Wilkes, discusses customer use cases where real-time data integration with built-in stream processing solves key challenges related to today’s fast-paced, heterogeneous and hybrid data environments. Unedited Transcript:  Welcome and thank you for joining us for today’s webinar. My name is Katherine and I will be your moderator. The presentation today […]

Unedited Transcript: but don’t do the Google cloud platform is important to your business. Well, why are realtime data movement change data capture the stream processing necessary parts of this process? You’ve already decided that you want to adopt the Google play platform. This could be Google big query and pubsub Pie sinkhole type data […]

In this video, Steve Wilkes, founder and CTO of Striim, discusses why CDC to Azure is a critical component in successfully utilizing the Azure cloud. To learn more about Striim and Microsoft Azure, go here.   Unedited Transcript: (blog content included, edited) Let’s discuss why CDC to Azure is a critical component in successfully utilizing […]

Striim CTO Steve Wilkes talks about what hybrid cloud is, what the data considerations are, and why streaming integration is an essential part of a modern data architecture. The conversation about hybrid-cloud is often related to applications, virtual machines, microservices and how these things are scaled or moved between clouds or on-premise and cloud. However, […]

Steve Wilkes, co-founder and CTO of Striim, tackles the basics behind what streaming integration is, and why it’s critical for enterprises looking to adopt a modern data architecture. To learn more about the Striim platform, go here.   Unedited Transcript (transcription taken from this blog post, which was edited)   What is Streaming Integration? You’ve […]

Steve Wilkes, founder and CTO of Striim, discusses why streaming data integration is such a critical element in adopting a modern data architecture. To learn more about Striim, visit our platform overview page. Video Transcript: You know streaming integration is an essential part of enterprise modernization, but why? Why is that? Why is streaming integration […]

In this video, we demonstrate real-time streaming integration to and from Apache Kafka: Change Data Capture from MySQL and deliver to Kafka as JSON Enrich the CDC data using a cache and deliver to Kafka Read from Kafka and write to a CSV file Also write to Hadoop and Azure Blob Storage Other resources: Tutorial: […]

In this webinar, Striim co-founder and CTO, Steve Wilkes, and Pyalla Technologies CEO, Richard Buckle, go into an in-depth discussion on how to prepare your NonStop transactional data for a real-time, hybrid IT and analytical data infrastructure. To learn more about Striim for HPE NonStop, visit our partner page.    Unedited Transcript:  Welcome and thank […]

In this webinar, join Alex Woodie, Editor-in-Chief of Datanami, and Steve Wilkes, founder and CTO of Striim, for an in-depth look at some strategies that companies can begin to implement today to address these needs. Learn ways to start the migration toward a data architecture capable of handling the oncoming tsunami of data through a […]

See how easy it can be to use pre-built wizards to ingest and integrate data into Kafka from a wide variety of sources, and provide SQL-based stream processing on Kafka. Unedited Transcript: We going to be talking about taking Kafka to the next level utilizing Striim. So we got to start off talking about what […]

insideBIGDATA podcast with Steve Wilkes, Co-founder and CTO at Striim presenting: Striim – Streaming Integration with Intelligence. Unedited Transcript: Welcome to The Rich Report, a podcast with news and information on the world of big data. Today my guest is from Striim. We have the CTO and cofounder of the company, Steve Wilkes. Steve, welcome […]

In this webinar, Steve Wilkes, Co-Founder and CTO of Striim, presents the key streaming analytics use cases that enable financial services companies to outsmart risks, ensure regulatory compliance, and seize opportunities to improve customer experience. He discusses how streaming integration and analytics supports new technology trends such as artificial intelligence, blockchain, internet of things, and […]

Ovum analyst, Tony Baer and Striim Co-founder and CTO, Steve Wilkes discuss the need for hybrid open source data platforms, which combine open source with proprietary IP for a more cost-effective data management solution. Download the full paper here: The Real Costs and Benefits of Open Source Data Platforms To learn more about the Striim […]

Steve Wilkes, Striim Co-founder and CTO, discusses the need for a “streaming first” data architecture and walks through a demo of Striim’s enterprise-grade streaming integration and streaming analytics platform. To learn more about the Striim platform, go here.   Unedited Transcript: Today we’re going to talk about what is a streaming first architecture and why […]

See how using Striim can make the most of your investment in Apache Kafka. Blog Series: https://www.striim.com/blog/2017/08/making-the-most-apache-kafka-make-kafka-easy/ LinkedIn Article: https://www.linkedin.com/pulse/make-most-kafka-real-world-steve-wilkes If you’re using, or plan to use, Apache Kafka as a way to distribute streaming data around your enterprise, Striim can help in the following ways: 1) Continuously collecting data from enterprise and cloud sources […]