Living definition
What is Databricks LTAP (Lake Transactional/Analytical Processing)?
Databases & Data Infrastructure Compute & Web Infra
- As of
- 2026-07-22
- Revision
- 2026-07-22.1
- Method
- v1.3.0
Definition
The term, in context
AI-assisted draft · approved dataset
LTAP is a Databricks architecture that unifies transactional and analytical processing on one copy of data stored in open lakehouse table formats. A Postgres-based transactional engine and the platform's analytical engines both read and write the same underlying storage and governance layer, instead of syncing data between separate systems.
Live readiness status
Status as of the current dateline
AI-assisted assembly · derived results
As of 2026-07-22, verified readiness is 26 (claimed 35, reported 30, gap 9) — Critical evidence strength; current signals suggest Too early to adopt.
The readiness fact belongs to the canonical Readiness Verdict for Databricks LTAP (Lake Transactional/Analytical Processing).
Dataset approval
Human editorial release
pragma.vision editorial — standing authorization (operator dev@soft.house, 2026-07-17)
- Dataset
- 2026-07-22.1
- Hash
- sha256:2bf83ba8fe86d0c871510bbef8b13d2db675e4d9efe9c64fe0e754acb6688534
- Approved
- 2026-07-22