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Databricks announced that Lakebase Postgres, its fully managed serverless Postgres database, is now generally available on Google Cloud. According to the Databricks Blog, the service supports automatic scaling, scale-to-zero, second-level branching, and point-in-time recovery; it shares the same storage layer with analytical data, eliminating the need to maintain ETL pipelines, and provides unified governance through Unity Catalog. In terms of availability, multi-availability-zone endpoints offer a 99.99% SLA, while single availability zones offer 99.9%. Lakebase Search delivers vector and full-text search throughput 2 times that of pgvector at 4 times lower cost. There is currently no information on further developments.
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Lakebase Postgres Generally Available on Google CloudDevelopments
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Databricks announces general availability of Lakebase Postgres on Google Cloud
Source:Databricks Blog
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Nov 2
Databricks BlogFirst-party
Lakebase Postgres Generally Available on Google Cloud
Databricks announced that its fully managed serverless Postgres database, Lakebase Postgres, is generally available on Google Cloud, supporting autoscaling, scale-to-zero, second-level branching, and point-in-time recovery. It shares the same storage layer with analytical data, eliminating the need to maintain ETL pipelines, and provides unified governance through Unity Catalog; multi-availability-zone endpoints offer a 99.99% SLA, while single availability zones offer 99.9%. Lakebase Search delivers 2x the vector and full-text search throughput of pgvector at 4x lower cost.