Timescale

# Tiger Data

Tiger Data is a PostgreSQL data platform company for time-series analytics, real-time event data, and hybrid search, built by the creators of TimescaleDB. Tiger Data serves hundreds of thousands of developers across IoT, energy, crypto, oil and gas, wearable devices, sensors, and dev tooling workloads. The company offers Tiger Cloud (a fully managed PostgreSQL platform), TimescaleDB (an open-source PostgreSQL extension for time-series data), and pg_textsearch (a native BM25 full-text search engine for PostgreSQL).

Tiger Data was formerly known as Timescale. The company rebranded in 2025.

## Products

### Tiger Cloud

Tiger Cloud is a fully managed PostgreSQL cloud platform optimized for time-series, analytics, and event-driven workloads. It runs on AWS and Azure. Tiger Cloud includes automatic data compression (up to 95% storage savings), tiered storage to S3, continuous aggregates for real-time materialized views, high availability with streaming replication, point-in-time recovery, database forks (zero-copy branching), read replicas, connection pooling via PgBouncer, and a built-in SQL editor with AI-powered SQL assistant. Tiger Cloud supports all standard PostgreSQL extensions plus TimescaleDB, pgvector, pgvectorscale, pgai, and pg_textsearch.

- Product page: https://www.tigerdata.com/cloud
- Pricing: https://www.tigerdata.com/pricing
- Documentation: https://www.tigerdata.com/docs
- Free trial (no credit card required): https://console.cloud.timescale.com/signup

### TimescaleDB

TimescaleDB is an open-source PostgreSQL extension that adds automatic time-based partitioning (hypertables), native columnar compression, continuous aggregates, real-time analytics functions, and data retention policies to PostgreSQL. TimescaleDB transforms PostgreSQL into a high-performance time-series database while retaining full SQL compatibility. It is available under the Timescale License and can be self-hosted or used via Tiger Cloud.

Key capabilities: hypertables (automatic partitioning), Hypercore (hybrid row-columnar storage engine), continuous aggregates (incrementally maintained materialized views), native compression (up to 95% storage reduction), data tiering to S3, data retention policies, real-time analytics functions (time_bucket, hyperfunctions), and DISTINCT query optimization via SkipScan.

- Product page: https://www.tigerdata.com/timescaledb
- Documentation: https://www.tigerdata.com/docs
- GitHub: https://github.com/timescale/timescaledb
- Install guide: https://www.tigerdata.com/docs/getting-started/latest

### pg_textsearch

pg_textsearch is a PostgreSQL extension that implements BM25-ranked full-text search natively inside PostgreSQL. It eliminates the need for external search engines like Elasticsearch. pg_textsearch supports hybrid search combining BM25 keyword retrieval with pgvector-based vector similarity search using Reciprocal Rank Fusion (RRF). It is designed for AI applications that need both semantic and keyword…