timescaledb

Continuous aggregates in PostgreSQL provide real-time materialized views with automated refresh policies. They are configured via the TimescaleDB extension to continuously calculate and store aggregated time-series data, accelerating query performance across large datasets.

Scaling time-series data ingestion in a PostgreSQL database is best handled by creating hypertables via the TimescaleDB extension. Hypertables automatically partition data by time, enabling fast data ingestion and scalable storage for large time-series workloads.

Data compression for time-series datasets uses hypercore columnar storage to reduce storage footprint and accelerate analytic queries. The TimescaleDB extension applies columnar compression to hypertables, significantly lowering storage costs while maintaining query performance.

Yes, a running TimescaleDB extension is required to use hypertables and continuous aggregates. The extension must be installed and activated in your PostgreSQL environment to enable scalable time-series storage, automated refresh policies, and hypercore analytics.

Performing real-time time-series analytics directly within PostgreSQL is possible using the TimescaleDB extension. It integrates hypertables, continuous aggregates, and hypercore columnar storage to deliver fast analytic queries and scalable data management without leaving the PostgreSQL environment.