Saturday, March 22, 2025

Azure - databricks - storing vs registering a DF in Delta Lake

 




When to Use What?

✅ Use "Storing DataFrame as Delta Table" if:

  • You don’t need SQL access and will only use Spark for reading/writing.

  • The table is temporary or an intermediate dataset in a pipeline.

  • You want to manually control schema enforcement and versioning.

✅ Use "Registering DataFrame in Delta Lake" if:

  • You want the table available for SQL queries in Databricks or external BI tools.

  • You need governance, access control, and metadata tracking.

  • You plan to use Delta Sharing, Unity Catalog, or ADF for integration.











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