Databricks Launches LTAP: The First Lake Transactional/Analytical Processing Architecture
Databricks, the Data and AI company, today introduced Lake Transactional/Analytical Processing (LTAP), a new data processing architecture that unifies transactions, analytics, streaming, and operational data on a single copy of storage in the lake. With LTAP, enterprises have a single governed foundation to read, reason, and act on, without pipelines, replicas, or the ETL overhead that has defined data infrastructure for decades. Powered by major advances in Lakebase, LTAP provides a new data foundation for the AI application era.
The New Data Foundation for the Agentic Era
- For four decades, transactional and analytical workloads have lived in separate systems: operational databases served applications, analytical systems answered questions. Bridging them meant building CDC pipelines that are brittle and prone to breaking under pressure. That was already a bad tradeoff when humans wrote software at human speed. Today, AI helps developers write ~50x more applications than ever before, many of which...
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