The 40-year-old database rule agents just broke: How LTAP unifies OLTP and OLAP workloads
Summary
LTAP (Lake Transactional/Analytical Processing) resolves the decades-old row-versus-column tradeoff between OLTP and OLAP systems by unifying transactional and analytical workloads at the storage layer rather than the engine layer, succeeding where HTAP has historically stalled. This shift is driven by AI agents, which need near-real-time read and write access to live operational data at a speed and cost neither traditional pipelines nor HTAP architectures can deliver.
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