Databricks Launches LTAP Architecture Unifying OLAP and OLTP on a Single Data Lake Copy
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Summary
Databricks has launched LTAP (Lake Transactional/Analytical Processing), a new data architecture that unifies OLAP and OLTP workloads on a single copy of data in the data lake, eliminating the need for ETL processes, data replicas, and separate pipelines. The foundation of this architecture is Lakebase, a serverless Postgres solution on open object storage that now serves thousands of customers and handles 12 million database launches per day. Databricks positions itself as the first LTAP platform, combining Lakebase with the Lakehouse under a unified governance model and storage layer for all operational and analytical workloads.
Key quotes
· 3 pulledDatabricks today launched LTAP (Lake Transactional/Analytical Processing), a new data processing architecture that unifies OLAP and OLTP on a single copy of data in the lake, eliminating ETL, replicas, and pipelines by design.
Lakebase, the foundation of the LTAP architecture, now serves thousands of customers and handles 12 million database launches per day across the platform.
Databricks is the world's first LTAP platform.
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