Databricks
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Announcing first-class support of Iceberg format in Databricks Delta Sharing

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Summary

The article announces the integration of first-class support for the Apache Iceberg format within Databricks Delta Sharing, enhancing the platform's data sharing capabilities. It highlights the ability to securely share data from Databricks to various clients that support the Iceberg REST Catalog API, such as Snowflake and Trino. The article emphasizes the importance of open data sharing, contrasting it with traditional closed systems that foster vendor lock-in. It also introduces a Private Preview feature that allows sharing of foreign Iceberg tables managed by external catalogs, thereby promoting interoperability and governance through Unity Catalog.

Key Learnings

  • 1Delta Sharing now supports the Apache Iceberg format, allowing seamless data sharing across various platforms.
  • 2The integration enhances data governance and management through Unity Catalog, providing a unified layer for data assets.
  • 3Open data sharing principles are emphasized, promoting interoperability and reducing vendor lock-in.
  • 4The Private Preview feature allows sharing of Iceberg tables managed outside Databricks, expanding the scope of data collaboration.

Who Should Read This

Senior Data Engineers implementing cross-platform data sharing solutions in multi-cloud environments

Test Your Knowledge

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What are the advantages of using Delta Sharing over traditional closed data sharing solutions?

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How does Unity Catalog enhance data governance when sharing Iceberg tables?

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What challenges might arise when integrating Iceberg tables from external catalogs into Databricks?

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In what scenarios would a company prefer to use Delta Sharing for Iceberg tables instead of direct sharing from the external platform?

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What security measures are in place to ensure safe data sharing through Delta Sharing?

Topics

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