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Analytics on Live Data. No Pipeline. Just Postgres.
Most teams treat analytics as a separate problem. As data grows, they add a warehouse, a pipeline, a sync job. By the time data reaches their dashboard, it's already stale.
TimescaleDB takes a different approach: extend Postgres instead of splitting away from it.
Your transactions and your analytics run on the same database, on live data, with no pipeline in between.
Hypertables partition time-series data automatically as volume grows. Hypercore compression cuts storage by up to 95%. Continuous aggregates pre-compute rollups so dashboards stay fast without re-querying everything.
CERN runs it on Postgres to handle sensor data from the Large Hadron Collider.
No second database. No migration. Same Postgres you already know.