Timescale Cloud is a cloud-based PostgreSQL platform for resource-intensive workloads. We help you build faster, scale further, and stay under budget. A Timescale Cloud service is a single optimized 100% PostgreSQL database instance that you use as is, or extend with capabilities specific to your business needs. The available capabilities are:

  • 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 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.

All services include all the cloud tooling you'd expect for production use: automatic backups, high availability, read replicas, data forking, connection pooling, tiered storage, usage-based storage, and much more.

This section shows you how to:

  1. Create and connect to a Timescale service
  2. Run queries from Timescale Console
  3. Ingest some real financial data into your database
  4. Construct some interesting queries Try out some live queries
  5. Create and query a continuous aggregates

Already know the basics? See the more advanced tutorials, or see how to Use Timescale.

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