Welcome to the Timescale documentation! We make PostgreSQL better for your demanding workloads. Read on to learn more about Timescale, our cloud platform, and TimescaleDB.

What is Timescale?Get Started

Timescale is a high-performance developer focused cloud that provides PostgreSQL services enhanced with our blazing fast vector search.

Timescale services focus on three main use-cases:

  • Time-series and Analytics: for lightning fast ingest and queries on time based workloads (like price, sensor, event, blockchain, or IoT data).

    Powered by TimescaleDB, built for production, and extended with cloud features like transparent data tiering to object storage.

  • General purpose PostgreSQL: for metadata, business information and traditional relational workloads.

    Powered by Dynamic PostgreSQL. Operate within a CPU range and only pay for what you use.

  • Vector and AI: for applications that require fast search on vector embeddings and metadata, like semantic search, image search, RAG and Agents.

    Powered by Timescale Vector and available on Time-series and Dynamic PostgreSQL services.

We don't charge for storage you dont use, backups, snapshots, ingress or egress.

What is TimescaleDB?Get Started

TimescaleDB is an open-source database designed to make SQL scalable for time-series data. It is engineered up from PostgreSQL and packaged as a PostgreSQL extension, maintaining full SQL support.

If you want to get the best from TimescaleDB, let us run and optimize it for you as a Timescale service. If you prefer to run TimescaleDB using your own PostgreSQL installation then check out our self-hosted install options.

TimescaleDB enhances PostgreSQL with: