Are you using Databricks and want to try the power of Snowflake?
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A practical guide covering five integration scenarios between Snowflake and Databricks, enabling hybrid architectures without data duplication. Covers: Delta Direct (read Delta Lake tables via Snowflake compute without Unity Catalog), Catalog-Linked Database (mirror entire Unity Catalog databases into Snowflake), Snowpark Connect for Apache Spark (run PySpark code on Snowflake engine), accessing Snowflake Iceberg tables from Databricks via Iceberg REST Catalog API, and Databricks Federated Catalog for querying Snowflake-managed Iceberg tables. Each scenario includes SQL/Python code examples and notes on current limitations (mostly read-only today).
Table of contents
Scenario 1: Integrate Databricks without Unity CatalogScenario 2: Integrate Databricks with Unity CatalogGet Umesh Patel’s stories in your inboxScenario 3: Run Apache Spark Workload and JobsScenario 4: Access Snowflake Iceberg Table from Databricks (without Unity Catalog)Scenario 5: Access Snowflake Iceberg table from Databricks (with Unity Catalog)SummarySort: