Creators of TimescaleDB
Postgres, UI, APIs, CLI, and MCP. The universal entry point for developers, machines, and agents.
Fast, copy-on-write branches for storage sandboxes, ephemeral environments, development, testing, and CI/CD.
Durable context and recall across users, agents, and time.
Hybrid retrieval: BM25 + vectors, filters, and ranking.
Native support for events, metrics, and streams at scale.
Continuous views and aggregates across hot and cold data.
Auto-partitioning tables, hybrid row/columnar storage, compression, and tiering to S3.
High availability, PITR, backups, and enterprise-grade security and compliance.
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.
Read more Tiger case studies
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