Welcome to the Timescale documentation! We make PostgreSQL better for your real-time analytics and AI workloads. Read on to learn more about Timescale Cloud and TimescaleDB.

Timescale Cloud is the modern PostgreSQL data platform for all your applications. It enhances PostgreSQL to handle time series, events, real-time analytics, and vector search—all in a single database alongside transactional workloads.

You get one system that handles live data ingestion, late and out-of-order updates, and low latency queries, with the performance, reliability, and scalability your app needs. Ideal for IoT, crypto, finance, SaaS, and a myriad other domains, Timescale Cloud allows you to build data-heavy, mission-critical apps while retaining the familiarity and reliability of PostgreSQL.

Timescale Cloud offers the following capabilities to suit your particular business needs:

• Time-series and analytics: PostgreSQL with TimescaleDB for running real-time analytics on time-series data at scale. Get lightning-fast 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: PostgreSQL with vector extensions 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. Timescale Cloud continuously monitors your services and prevents common PostgreSQL out-of-memory crashes.

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

All Timescale Cloud services include the tooling you expect for production and developer environments: live migration, automatic backups and PITR, high availability, read replicas, data forking, connection pooling, tiered storage, usage-based storage, secure in-Console SQL editing,  service metrics  and insights, streamlined maintenance, and much more.