Timescale

The fastest PostgreSQL for transactional, analytical, and AI workloads.

This coverage is stale.

Last updated May 22, 2026 (about 3 months ago).

Profile

Timescale, rebranding to Tiger Data, is a PostgreSQL extension originally focused on time-series databases but repositioning as a general-purpose operational database platform. It targets high-throughput, latency-sensitive workloads at the intersection of OLTP, OLAP, and agentic AI applications. The company offers open-source TimescaleDB, managed Tiger Cloud, vector extensions for AI, and collaborative SQL tooling via acquired PopSQL.

Website

Markets

Databases & Storage

Recent published developments

capitalMay 22, 2026

Tiger Data Launches TimescaleDB Enterprise for On-Premises and Edge Deployment

Below validation threshold — auto-passed without scoring

Tiger Data announced the launch of TimescaleDB Enterprise on April 20, 2026, a commercially licensed self-managed time-series database. The product targets on-premises, edge, and customer-managed cloud environments and is built on PostgreSQL. Early access was made available via a waitlist with general availability planned for later in 2026. Tiger Data also announced a strategic alliance with Inductive Automation to modernize the industrial historian market.

PROCESSING

>SCANNING INTELLIGENCE FEEDS

Timescale

Profile

Recent published developments

Tiger Data Launches TimescaleDB Enterprise for On-Premises and Edge Deployment

Timescale

Profile

Recent published developments

Tiger Data Launches TimescaleDB Enterprise for On-Premises and Edge Deployment

Tiger Data Maintains $181 Million Total Funding with Last Major Round at $109 Million

TimescaleDB Releases Version 2.27.1 as Latest Update