Striim and Snowflake Collaborate on Platform that Accelerates Data to the Cloud

Striim, provider of an enterprise-grade platform for streaming data integration, is forming a strategic partnership with Snowflake, Inc., the data warehouse built for the cloud. The partnership aims to simplify and speed loading of real-time data to Snowflake, accelerating data-driven analytics in the cloud.

Striim's real-time data integration capabilities provide Snowflake customers running in Microsoft Azure or AWS the benefit of a phased migration to Snowflake from existing on-premises or cloud-based data warehouses, databases, and other data sources.

"We are delighted to partner with Striim for their streaming ETL capabilities. With Striim, Snowflake customers can ingest a wide range of real-time data in a consumable format to feed rich analytics," said Walter Aldana, Snowflake's vice president of alliances. "Striim's built-in scalability, security, and reliability bridges the adoption of Snowflake for time-sensitive, operational decision making."

For continuous data loading to Snowflake, Striim powers ingestion of real-time data from major enterprise databases using low-impact change data capture (CDC).

As an enterprise-grade platform, Striim supports extremely large data volumes with built-in security and reliability. In addition, Striim's in-flight processing, denormalization, and transformations further help Snowflake customers speed time-to-analysis by feeding data continuously to Snowflake in the right format.

Striim makes it easy to load data to Snowflake from data warehouses (including Oracle Exadata, Teradata, Amazon Redshift, Netezza), databases (including Oracle, SQL Server, HPE NonStop, MongoDB, Amazon RDS, PostgreSQL, MySQL), log files from security devices and other systems, sensors, messaging systems, and Hadoop solutions.

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