AI visibility report for Timescale in Databases & Data Infrastructure.

Timescale (legally Timescale, Inc., now operating as Tiger Data) is the creator of TimescaleDB, an open-source time-series database built as an extension to PostgreSQL. Founded in 2015 by Ajay Kulkarni and Michael Freedman, the company offers a fully managed cloud platform (Tiger Cloud) and a self-managed enterprise edition alongside the open-source core. TimescaleDB adds automatic partitioning, hybrid row/columnar storage, columnar compression, tiered storage, and over 200 time-series SQL functions to standard PostgreSQL—enabling petabyte-scale time-series workloads without abandoning SQL or the Postgres ecosystem. The platform serves use cases including IoT telemetry, financial tick data, IT observability, and AI/ML data pipelines, with 3M+ active databases and 2,000+ paying customers reported as of 2025.

Timescale (Tiger Data) provides a PostgreSQL-native time-series database platform: the open-source TimescaleDB extension, the fully managed Tiger Cloud (available on AWS and Azure Marketplaces), and TimescaleDB Enterprise for on-premises and private cloud deployments. Key technical primitives include Hypertables for automatic partitioning, Hypercore for hybrid row/columnar storage, columnar compression up to 95%, tiered storage to object storage, continuous aggregates for real-time materialized views, 200+ time-series SQL hyperfunctions, vector search via pgvectorscale and pg_textsearch, and TigerLake for native Apache Iceberg lakehouse integration.