REAL-TIME DATA INTEGRATION

Capture the True Power of Big Data, Cloud and IoT

DATA INTEGRATION MADE SMART AND EASY

Having access to timely data regardless of where it resides is a must-have to run your business operations smoothly. Striim offers the foundation for a modern, streaming data architecture, and easily integrates your structured, semi-structured and unstructured data, on-premises or in the cloud, with sub-second latency. With Striim, you can easily migrate to a next-generation infrastructure by integrating and analyzing data across cloud, Big Data, and IoT devices without getting locked in to a single topology.

  • Use up-to-date and consistent data in analytical and transactional systems
  • Achieve a comprehensive view of your business using all data sources including log files, databases, sensors, and messaging systems
  • Accelerate building streaming data pipelines using pre-built integration and wizards-based development
  • Enable timely insight for better operational decision making

WHY STRIIM FOR REAL-TIME DATA INTEGRATION

Striim combines non-intrusive, real-time change data capture capabilities with in-flight data processing to deliver timely and enriched data to the rest of the enterprise. It is an end-to-end, enterprise-grade platform with built-in stream analytics and data visualization, and delivers real-time insights while moving the data with sub-second latency. Striim provides an intuitive development experience with wizard-based user interface and speeds time-to-deployment with pre-built data pipelines. Using an SQL-like language, it is familiar to both business analysts and developers. With Striim, you adopt a future-proof, smart data architecture for accelerated innovation.

WORK WITH TIMELY DATA
Integrate your data in real time, without modifying or slowing down source systems
REMOVE ALL DATA SILOES
Extract from and deliver to a wide variety of systems including log files, heterogeneous databases, sensors, message queues
BUILD A SMART ARCHITECTURE
Pre-process and enrich the data-in-motion with reference data before real-time, streaming analytics using an end-to-end, enterprise-grade platform
Customer Use Case

HP ENTERPRISE

HP Enterprise uses Striim to accelerate its order management process. Historically, the company had no visibility into the order process for up to 2 days after an order was placed. Striim enables real-time data integration from ERP, MDM, and credit scoring systems into Hortonworks, Kafka, and HPE NonStop environments to enable fast order processing with access to real-time data. Now HPE has real-time visibility to order management activities and can check customer creditworthiness in real time to expedite the process.


Gained visibility into the order process from 1- 2 days to instantaneous via real-time data integration


Expedited the order processing for its customers with immediate customer data validation and fast credit check


Adopted a modern, future-ready streaming data architecture that supports fast innovation and improved customer

How Striim Works

LOW- IMPACT, NON-INTRUSIVE REAL-TIME DATA INTEGRATION

Striim ingests real-time data from a wide variety of sources including databases, log files, IoT devices, message queues, for different data types such as JSON, XML, delimited, binary, free text, change records. For transactional databases, it uses non-intrusive change data capture (CDC). Striim runs continuous queries to filter, transform, aggregate, enrich, and analyze the data-in-motion before delivering it to virtually any target with sub-second latency. If desired, Striim can process the data in batch as well.


Continuous, Non-Intrusive, Real-Time Structured and Unstructured Data Collection


In-Flight Data Filtering, Transformation, Aggregation, Enrichment, and Analytics


Delivery with Sub-Second Latency to Big Data, Cloud, Transactional Databases, Files, and Messaging Systems

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