Striim Enhances SQL-Based Stream Processing for Apache Kafka

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by Angela Guess

According to a recent press release, “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.”

The release goes on, “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.”


Photo credit: Striim

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