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Run dlt in Snowflake

You can run dlt within Snowflake AI Data Cloud in a few different ways.

Ways to run dlt​

  1. Snowflake Native App Install the dlt Connector App from the Snowflake Marketplace and run pipelines through the built-in UI.

  2. Snowflake Notebook Run a dlt pipeline directly inside a Snowflake Notebook for interactive development and testing.

  3. Snowpark Container Services (SPCS) Package dlt into a container and run it on SPCS for in-Snowflake execution (available starting with Snowpark 1.43.0).

  4. External runner with Snowflake as destination Run dlt outside Snowflake (your infra or a third party) and load into Snowflake as the destination.

How to choose​

  • Use Native App for a packaged, repeatable experience.
  • Use Notebook for quick experiments.
  • Use SPCS for containerized runs inside Snowflake.
  • Use an external runner if your pipelines already run outside Snowflake.

This demo works on codespaces. Codespaces is a development environment available for free to anyone with a Github account. You'll be asked to fork the demo repository and from there the README guides you with further steps.
The demo uses the Continue VSCode extension.

Off to codespaces!

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