LTAP - Lake Transactional/Analytical Processing a new data architecture that unifies OLAP and OLTP
Databricks introduces LTAP, a storage technology unifying OLTP and OLAP on one copy of data.
“We think Altab is H-Tab done right and accomplished the goals of H-Tab without actually having a single query engine for it, but we able to actually unify the storage which is by far the most important part.”
Databricks announced LTAP (Lake Transactional/Analytical Processing), a data architecture that unifies OLTP and OLAP on a single copy of data with no pipelines and no performance compromise, built on open formats like Postgres, Delta Lake, and Iceberg. It positions LTAP as 'HTAP done right' by unifying storage rather than the query engine, simplifying governance and infrastructure. This matters as foundational data infrastructure for AI/analytics workloads, reducing data duplication and pipeline maintenance.