Striim Strengthens Platform for Cloud-based Analytics

Striim, a provider of an enterprise-grade platform for streaming data integration, announced the general availability of version 3.8.4 of the Striim platform.

This new release strengthens the platform's capabilities in helping organizations with their transition to, and use of, cloud-based analytics by creating enterprise-grade, real-time data pipelines to feed different layers of their cloud environment. Available as a cloud service, Striim enables companies to reap the agility and cost-savings benefits of cloud-based analytics with real-time data movement, scalability, and faster time-to-market.

With the new 3.8.4 release, the Striim platform can support organizations across all layers of their cloud-based analytical environment by bringing real-time data to:

* Analytics services and data warehousing solutions, such as Azure SQL Data Warehouse and Google BigQuery, that directly support end users with timely intelligence.

* Data management and analytics frameworks, such as Azure HDInsight, which support interactive analysis or creating machine learning models.

* Storage solutions, such as Amazon S3 or Azure Data Lake Storage, from on-premises and other cloud-based data sources in real time.

* Staging areas, such as HDFS, S3, ADLS which are used by other cloud services and components.