StreamSets elevated to Snowflake Premier Partner status


SAN FRANCISCO – (COMMERCIAL THREAD) – StreamSets, the provider of the first DataOps platform, today announced that it has achieved Premier Partner status with Snowflake, the company Data Cloud.

“StreamSets is a valuable partner that brings end-to-end data engineering capabilities to harness the full power of the data cloud,” said Tarik Dwiek, head of technology alliances at Snowflake. “By combining the powerful extensibility of Snowpark with StreamSets intelligent data pipelines, we extend the data cloud to data science and machine learning use cases. ”

It was through this growing partnership that Christian Kleinerman, SVP of Product at Snowflake, presented StreamSets during his keynote at the Snowflake product announcement event, Snowy day. The opening speech “unveiled the latest advancements in Snowpark development, multi-cloud operations and more”.

The next public release of Sound StreamSets new StreamSets engine for Snowpark can provide a clue as to what is in the main statement. The two companies work closely together as StreamSets finalizes development for the new engine, and the StreamSets release schedule mirrors Snowflake’s Snowpark GA schedule.

“Snowflake Data Cloud continues to innovate by democratizing access to data and bringing increasing levels of sophistication to analytics and data science. We are proud that so many mutual customers are using StreamSets to build the data pipelines to harness the full power of the Data Cloud, ”said Judy Ko, Product Manager at StreamSets.

The StreamSets engine for Snowpark will soon be available in public beta. Registration is available by contacting

About StreamSets

At StreamSets, our mission is to make data engineering teams successful. The StreamSets DataOps platform enables engineers to build and run the intelligent data pipelines needed to power DataOps on hybrid and multi-cloud architectures. That’s why the world’s largest companies trust StreamSets to power millions of data pipelines for modern analytics, AI / ML, and smart applications. With StreamSets, data engineers spend less time fixing and more time doing. To find out more, visit and follow us on LinkedIn.


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