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Lakebase Postgres Integrates Object Storage for Enhanced Transaction Processing

Published
Sep 17, 2026 14:49 UTC

Lakebase Postgres can branch a 2 TB database in seconds, utilizing Amazon S3 as its object storage backend. This integration allows for significant improvements in transaction processing, as Lakebase claims, "A commit never waits for pages to be written or uploaded." The use of object storage changes interaction dynamics with Postgres, enabling faster operations for agent workloads that have evolved in recent years. Idle compute nodes can be shut down after 5 minutes, optimizing resource usage. However, users should be aware of potential read latencies from object storage, which can reach hundreds of milliseconds. This development follows a broader industry shift from data-centric to transaction-centric OLTP models, emphasizing the importance of the log as the source of truth, as stated by Lakebase Postgres.

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Source: Databricks Blog