by Angela Guess

A new release out of the company reports, “Striim, Inc., today announced that it has launched a new version of its end-to-end real-time data integration and streaming analytics platform. On the heels of Striim’s mega release of version 3.6, Striim further underscores its commitment to seamless integration with Big Data and Cloud environments with this release. Highlights include integrations with MapR, Kafka 0.9 and Google BigQuery. Striim is also pleased to launch the Hazelcast Striim Hot Cache, announced separately. ‘In this release, we have further strengthened our leadership position as an end-to-end streaming platform. Striim’s ability to transcend on-prem, cloud and IoT environments in real time is what sets us apart,’ said Alok Pareek, founder and EVP of Products at Striim. ‘These types of new integrations with Big Data and Cloud technologies, combined with enhancements for Kafka security and ease-of-use, further accelerate our product capabilities’.”

The release goes on, “Striim’s support for Big Data has been enhanced to include integration with MapR DB and MapR Streams as a target. Companies can now leverage Striim’s change data capture (CDC) and multi-stream correlation capabilities to capture data from enterprise databases, process that data in real time, and then load that data to either MapR DB or MapR Streams. Support for MapR rounds out Striim’s Big Data Integration offering, with existing support for HDFS, Hadoop, and Cloudera as data sources and targets. In addition, Striim is pleased to announce the availability of the Hazelcast Striim Hot Cache, helping companies ensure, in real time, that their cache is always in-sync with their database. Hazelcast is a leading provider of operational in-memory computing, with tens of thousands of installed clusters and over 16 million server starts per month.”

Read more at Business Wire.

Photo credit: Striim