Welcome to the Timescale documentation! We make PostgreSQL better for your demanding workloads. Read on to learn more about Timescale Cloud, and TimescaleDB.
What is Timescale Cloud?Get Started
Timescale Cloud is a high-performance developer focused cloud that provides PostgreSQL services enhanced with our blazing fast vector search.
Timescale Cloud services focus on three main use-cases:
- Time-series and analytics: for storing and querying time-series data at scale. Get faster time-based queries with hypertables, continuous aggregates, and columnar storage. Save on storage with native compression, data retention policies, and bottomless data tiering to Amazon S3.
- AI and vector: for building AI applications from start to scale. Get fast and accurate similarity search with the pgvector and pgvectorscale extensions. Create vector embeddings and perform LLM reasoning on your data with the pgai extension.
- PostgreSQL: for applications requiring strong data consistency, complex relationships, and advanced querying capabilities. A trusted industry-standard RDBMS with ACID compliance, extensive SQL support, JSON handling, and extensibility through custom functions, data types, and extensions.
We don't charge for storage you don't 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 Cloud service. If you prefer to run TimescaleDB using your own PostgreSQL installation then check out our self-hosted install options.
TimescaleDB enhances PostgreSQL with: