Tiger Data
PostgreSQL platform for time-series data
New York, NY, USA
Founded 2015
Tiger Data (formerly Timescale) is the creator of TimescaleDB, an open-source PostgreSQL extension purpose-built for time-series workloads that delivers high-performance analytics with automatic partitioning, columnar storage, and tiered storage. The company offers a fully managed cloud platform that extends PostgreSQL with time-series, vector search, and lakehouse integration capabilities for IoT, observability, financial, and AI workloads at petabyte scale.
Websites:
Last Updated: April 11, 2026
Current Valuation
$1B
as of February 22, 2022 (Source)
Funding Summary
$180M
Total reported funding
Announcement
June 24, 2026
The Register: Database vendors pitch themselves as the cure for runaway AI costs
Announcement
June 10, 2026
Database Trends and Applications: Tiger Data Debuts Purpose-Built Database Service for the Agentic Era - Database Trends and Applications
Announcement
June 9, 2026
SiliconANGLE: Tiger Data launches PostgreSQL extension designed for AI agents - SiliconANGLE
Announcement
June 9, 2026
GlobeNewswire: Tiger Data Launches Ghost, a Purpose-Built Database Service
Media Mention
May 11, 2026
Dev.to: Agents that monitor themselves: a self-auditing RAG on Tiger's Agentic Postgres
Showing 1-5 of 12 headlines
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Key People
Core OSS Projects
A time-series database for high-performance real-time analytics packaged as a Postgres extension
License: Apache-2.0
Business Information
Category
Time SeriesIndustries
Data & Analytics
Technologies
DatabasePostgreSQL
Sectors
EnterpriseDevelopers
Licenses
Apache-2.0
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Socials and Communities
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