Timescale: The Next Generation Time-Series Database on PostgreSQL
Timescale enhances PostgreSQL for time-series data, enabling efficient ingestion and querying of vast volumes of live data. With features like a hybrid row-columnar engine and advanced compression, Timescale delivers exceptional performance and cost savings for applications in IoT, finance, and analytics.
Features
Up to 1,000x faster queries compared to standard PostgreSQL and other time-series databases.
Automatic partitioning and columnar compression reduce storage needs by up to 95%.
Real-time aggregation and continuous aggregates for efficient data analysis.
Seamless integration with existing PostgreSQL tools, drivers, and connectors.
Flexible scaling with independent compute and storage resources.
Robust high availability with automatic backups and failover solutions.
Support for advanced time-series hyperfunctions and SQL for complex data queries.