Lakebase architecture clarifies the misunderstanding of LTAP
The story so far
Databricks clarifies the misunderstanding of LTAP through the Lakebase architecture, stating that it does not require a CDC pipeline or a second database, but serves Postgres and analytics through a single persistent data copy. This architecture stores data in a tiered manner in object storage and cache, not traditional replication, supporting both point-in-time and scan access paths, optimized respectively with Postgres heap pages and Parquet format, and without additional synchronization tasks. Reynolds Xin explains the concept of LTAP and how the Lakebase architecture achieves it.
AI-written from the reports · Updated 2 days ago
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- Databricks BlogClarification on the misunderstanding of the Lakebase architecture's LTAP.
Lakebase architecture serves both Postgres and analytics with a single persistent data copy, without the need for CDC pipelines or a second database. This architecture stores data hierarchically in object storage and cache, not traditional replication. It supports both point-in-time and scan access paths, optimized respectively using Postgres heap pages and Parquet format, with no additional synchronization tasks.
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