Tiger Data Documentation
Tiger Data are the creators of TimescaleDB, the leading open-source relational database for time-series data. Our tools help you ingest, store, and analyze massive datasets with the full power of SQL.
Run TimescaleDB on Tiger Cloud
Step-by-step tutorials and guides for running our fully-managed service.
Deploy TimescaleDB locally
Installation guides, configuration tips, and best practices for self-hosting.
Explore
Explore the docs to find what you need, whether you are learning new concepts, following a tutorial, or looking up a detail. Each area below is a starting point; open a section to go deeper.
Learn TimescaleDB concepts
Learn
Concepts, comparisons, and vocabulary, how TimescaleDB fits together, from hypertables to lifecycle, plus a glossary.
Build
Task-by-task guides: tutorials, examples, data management, continuous aggregates, performance, and cost patterns.
Deploy
Run on Tiger Cloud, self-hosted TimescaleDB, or Managed Service for TimescaleDB, install, configure, and operate in your environment.
Reference
SQL and Toolkit APIs, pgai, pgvectorscale, and the REST API, look up syntax and behavior while you build.
Core features
TimescaleDB is a PostgreSQL extension, not a separate database or fork, so you keep the same clients, drivers, and SQL you use with plain PostgreSQL. On top of that, it adds objects and commands for time-partitioned tables, rollups, compression, retention, and other time-series and analytics work.
Open Build
Hypertables
Automatic time-based partitioning for PostgreSQL tables. Scale to billions of rows with no changes to your queries.
Continuous aggregation
Incrementally materialized views that stay up to date automatically. Ideal for dashboards and real-time reporting.
Columnstore
Transparent columnar compression that reduces storage by up to 95%. Query compressed data with standard SQL.
AI & Vectors
Store and query vector embeddings alongside your time-series data with pgvector integration for semantic search.
pg_textsearch
BM25 full-text search in PostgreSQL. Rank documents by relevance and combine search with relational queries.
Retention
Automated retention policies, tiered storage, and data management. Keep what matters, archive the rest.
What’s new
Follow doc changes in the changelog, check out the current platform status or the TimescaleDB release notes on GitHub.
View changelog
