Databricks Unity Catalog emphasizes user control over data storage

Databricks has detailed its strategy for managing data storage in Unity Catalog, emphasizing user control and open formats. The platform allows users to store managed table data in their own cloud storage accounts, such as Amazon S3, ADLs, or Google Cloud Storage, ensuring data ownership and visibility. Unity Catalog supports both Iceberg and Delta formats, automating data layout, tuning, and cleanup while enabling external tools like Apache Spark, Flink, Trino, and Snowflake to access and modify data through open APIs. AI

IMPACT Enables more flexible and governed data management for AI/ML workloads by allowing data to reside in user-controlled storage.

RANK_REASON Blog post detailing a product feature and its technical implementation.

Read on Databricks Blog →

• ADLs
• Amazon S3
• Apache Kafka
• Apache Spark
• Databricks
• Delta
• Flink
• Google Cloud Storage
• iceberg
• Snowflake
• Trino
• Unity Catalog

• product
• infra

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