Creators of TimescaleDB

Postgres for Developers,
Devices, and Agents

The data platform trusted by hundreds of thousands from IoT to Web3 to AI and more.

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Tiger Primitives

Interface

Postgres, UI, APIs, CLI, and MCP. The universal entry point for developers, machines, and agents.

Forks

Fast, copy-on-write branches for storage sandboxes, ephemeral environments, development, testing, and CI/CD.

Memory

Durable context and recall across users, agents, and time.

Hybrid retrieval: BM25 + vectors, filters, and ranking.

Time-series and analytics

Native support for events, metrics, and streams at scale.

Materialization

Continuous views and aggregates across hot and cold data.

Scale

Auto-partitioning tables, hybrid row/columnar storage, compression, and tiering to S3.

Security and reliability

High availability, PITR, backups, and enterprise-grade security and compliance.

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In the Wild

Industry: Internet Software & Services

Cloudflare

For many teams at Cloudflare, TimescaleDB strikes a phenomenal balance between the simplicity of storing your analytical data under the same roof as your configuration data, while also gaining much of the impressive performance of a specialized OLAP system.

Robert Cepa, Senior Software Engineer

Industry: Fintech

Polymarket

“It was a very easy process to set up so we went with the Tiger Cloud solution, which is helpful because we have a lot of time-series data that we are processing.”

Jonathan Amenechi, Software Engineer, Polymarket

Industry: AI

Hugging Face

Hugging Face uses Tiger Cloud to power observability for the product Inference Endpoints.

Industry: Automotive

Toyota

Toyota uses Tiger Cloud for real-time operational data and analytics for their Nascar fleet performance.