Introducing LTAP (Lake Transactional/Analytical Processing): a new data processing architecture @Databricks
Introducing LTAP (Lake Transactional/Analytical Processing): a new data processing architecture  @Databricks
Uploaded June 2026 | Updated September 2026, 2 weeks ago
Introducing LTAP: the first Lake Transactional/Analytical Processing architecture.

OLTP unifies operational, analytical, and streaming data without the need for ETL, replicas, or pipelines. The new data processing architecture combines OLAP and OLTP to create a single copy of data, all goverened under one model. Underpinned by Lakebase, LTAP is the first platform to combine serverless Postgres on open object storage with the Lakehouse. Learn more: databricks.com/company/newsroom/press-releases/databricks-launches-ltap-first-lake-transactionalanalytical

00:00 — Reynold Xin, Co–founder and Chief Architect at Databricks, introduces the challenge with legacy solutions
02:35 — Bringing Lakebase and the Lakehouse together
05:13 — Introducing LTAP
06:16 — Coming soon: Open Source LTAP Writer Library
07:06 — Lakebase + LTAP demo with Holly Smith, Developer Relations at Databricks

Presenters:
Reynold Xin, Co–founder and Chief Architect, Databricks
Holly Smith, Developer Relations, Databricks
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Introducing LTAP (Lake Transactional/Analytical Processing): a new data processing architecture

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