Coming to you from our popular “Rich Report Podcast” channel, we offer a new slidecast with Steve Wilkes, Co-founder and CTO at Striim presenting: Striim – Streaming Integration with Intelligence. Striim recently announced the launch of version 3.8 of the Striim platform, with 47 new and enhanced capabilities.
Since May 2016, Striim has offered Apache Kafka users both change data capture (CDC) and SQL-based stream processing. With more deployments than any other solution, the Striim platform provides the most comprehensive, battle-tested, enterprise-grade integration and processing solutions for Kafka.
Here are some important product highlights:
- The Striim platform is a non-intrusive, end-to-end streaming integration solution for moving change data from transactional systems into Kafka, as well as other data targets, that is easy to both configure and use.
- Striim enables users to query and analyze data in Kafka with a SQL-based language, and visualize and deliver that processed data to both cloud and on-prem data stores.
- Striim version 3.8 further enhances its streaming integration and SQL-based stream processing capabilities for Kafka environments, enabling extreme scalability and even greater ease-of-use for users.
- Striim version 3.8 encapsulates new features including multi-threaded delivery to enhance performance for real-time streaming into Kafka. The platform’s multi-threaded delivery comes with automated thread management within a single Apache Kafka Writer, providing support for higher throughput environments as well as significant performance and easier scalability in a single-node Striim implementation.
- The Striim platform can now read from Kafka queues through an enhanced reader with automated mapping of partitions, which streamlines development productivity and accelerates time to market.
- Along with updated Kafka capabilities, Striim version 3.8 continues to expand its integration for cloud environments. Version 3.8 now supports the integration of real-time data into Microsoft Azure HDInsight, supporting both Kafka and Hadoop implementations on Azure. Striim also adds the integration of real-time data into Amazon Kinesis, as well as the ability to read data on AWS S3 and share between on-prem systems and other cloud environments in real time.
Learn more about Striim version 3.8 with the company’s blog post announcement.
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