TimescaleDB
Open SourceFundedScalable time-series database built on PostgreSQL for real-time analytics
About TimescaleDB
TimescaleDB is an open-source time-series database platform built as an extension of PostgreSQL, designed to handle petabyte-scale data volumes with trillions of metrics ingested daily. It targets enterprises needing robust, real-time analytics on telemetry, sensor, event, and tick data across industries such as energy, telecommunications, and manufacturing. By leveraging native PostgreSQL capabilities combined with specialized time-series functions and automatic partitioning, TimescaleDB enables efficient storage, fast reads and writes, and complex time-based queries.
The platform supports hybrid storage models, including row-columnar storage and tiered storage that optimizes hot and cold data management. It integrates with popular data pipelines and lakehouse architectures, allowing seamless ingestion from Kafka and S3 and replication to Iceberg. Enterprise-grade security features, including encryption, private networking, and compliance with SOC 2 and GDPR, make it suitable for production environments. TimescaleDB offers a cloud deployment option via its Tiger Cloud platform, providing elastic scalability and operational reliability for large-scale time-series workloads.
Key Capabilities
- ✓Time- and key-based automatic partitioning
- ✓Row-columnar storage for analytics and writes
- ✓Tiered storage with SSD and object storage
- ✓200+ SQL time-series functions
- ✓Native PostgreSQL integration and APIs
Integrations
Other Database Platforms Vendors
View allRelated Buyer Guides
Independent evaluation frameworks for this category.
This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .