Native Data Transformations for the Data Cloud
With StreamSets Transformer for Snowflake, data practitioners can take their data transformation to the next level. Users are no longer limited to SQL and can adopt a no-code approach with an intuitive design canvas to make data transformation and cleansing easy. StreamSets Transformer for Snowflake streamlines your data transformation process, helping you get more value of your Data Cloud than ever before.
StreamSets Transformer for Snowflake is designed for any data practitioner as well as less technical users to build ELT and data transformation pipelines that execute natively on Snowflake.
Built for Snowflake
StreamSets is a proud Snowflake Premier Technology Partner, making the most of your Snowflake investment.



Accelerate Your Data Cloud Development

Empower Self-service and Collaboration
Transformer for Snowflake enables users to effortlessly share and reuse transformation jobs, schedule workflows, and collaborate effectively across teams. It is designed to be intuitive and familiar, seamlessly extending the Snowflake experience. By expertly handling the intricacies of SQL syntax and functions, we save users valuable time in onboarding new team members, allowing them to quickly realize the immense value of Snowflake.
In-Place Transformations
Modify and manipulate your data directly within Snowflake, without the need to extract, transform, and load it elsewhere. This eliminates the cost and complexity associated with moving data in and out of Snowflake. By enabling seamless transformations within Snowflake’s data cloud, StreamSets Transformer empowers you to streamline data processing pipelines and accelerate insights while maximizing efficiency.

StreamSets & Snowflake Partnership
StreamSets is proud to be a Premier Technology Partner with Snowflake and has completed a 3rd party technical validation to confirm integrations with Snowflake are optimized with an emphasis on functional and performance best practices. StreamSets Transformer for Snowflake is built on Snowpark to enable both the expressiveness and flexibility of Snowpark’s multi-language support, as well as the simplicity of data cloud operations.