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StreamSets Transformer for Snowflake

The first enterprise data transformation engine built on Snowpark

Native Data Transformations for the Data Cloud

Never struggle again to get value out of your Data Cloud. StreamSets Transformer for Snowflake is aimed at delivering advanced data transformation functionality natively on Snowflake. Transformer for Snowflake is the industry’s first engine built on Snowpark, harnessing the full power and extensibility of the Snowflake Data Cloud.

StreamSets Transformer for Snowflake is designed for any developer or data engineer to build ELT and data transformation pipelines that execute natively on Snowflake.

Choose a no code approach with an intuitive design canvas or drop in code whenever they want.

Execute in your Data Cloud to maximize performance and minimize costs

Ensure data observability across the entire lifecycle 

Accelerate Your Data Cloud Development

Simplify Apache Spark For ETL For Everyone

No Code ELT and Beyond

Bring powerful data transformations for any workload to your entire team. Transformer for Snowflake allows data engineers to go beyond SQL to express powerful data transformation logic using an intuitive design canvas. Users can choose a no code approach or drop in code whenever they want by applying user-defined functions (UDFs) and third-party integrations directly to data transformations. Transformer for Snowflake can directly invoke any Snowflake UDF that you’ve already created or can create new Java UDF’s on the fly.

Download: Data Engineers Handbook for Snowflake

In-Place Transformations

Perform data transformations at all levels of complexity without moving data out of your Data Cloud. Apply SQL or advanced functions directly to data living in your Snowflake Data Cloud eliminating the impact of data drift or data corruption. Eliminate the cost and security risk of moving data between environments and monitor the state of your data at every stage of the pipeline process with a single mission control center.

Bigspark’s Journey to Cloud Data Transformation
Visibility Into Apache Spark Executions

The StreamSets DataOps Platform

Build smart data pipelines in minutes and deploy across hybrid and multi-cloud platforms from a single log in.

Data Engineering For DataOps On AWS
Data Engineering For DataOps On Azure
Data Engineering For DataOps On Google Cloud
Data Engineering For DataOps On Snowflake
Data Engineering For DataOps On Databricks
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