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.

A Timescale Cloud service is a single optimized 100% PostgreSQL database instance that you use as is, or extend with the capabilities specific to your business needs:

  • Time-series and analytics: PostgreSQL with TimescaleDB. The PostgreSQL you know and love, supercharged with functionality for storing and querying time-series data at scale for real-time analytics and other use cases. 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: PostgreSQL with vector extensions. Use PostgreSQL as a vector database with purpose built 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: the trusted industry-standard RDBMS. Ideal for applications requiring strong data consistency, complex relationships, and advanced querying capabilities. Get 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.

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 insightsstreamlined maintenance, and much more.

This section shows you how to:

  1. Create and connect to a Timescale Cloud service: choose the capabilities that match your business and engineering needs on Timescale's cloud-based PostgreSQL platform.
  2. Run queries from Timescale Console: securely interact with your data in the Timescale Console UI.
  3. Try the main features in Timescale products: rapidly implement the features in Timescale Cloud that enable you to ingest and query data faster while keeping prices low.

What next? See the use case tutorials, interact with the data in your Timescale Cloud service using your favorite programming language, integrate your Timescale Cloud service with a range of third-party tools, plain old Use Timescale, or dive into the API.

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