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

Tiger Postgres is a radically faster Postgres for transactional, analytical and agentic workloads at scale. Tiger Cloud is the fastest Postgres cloud, powered by Tiger Postgres. It enhances Postgres 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, Tiger Cloud allows you to build data-heavy, mission-critical apps while retaining the familiarity and reliability of Postgres.

Tiger Postgres offers the following capabilities to suit your particular business needs:

• Real-time analytics: 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-focused: 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.
• Hybrid applications: for applications that combine time-based data and AI.

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

All Tiger 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. Tiger Cloud continuously monitors your services and prevents common PostgreSQL out-of-memory crashes.