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Technology & InfrastructureEvent: September 1, 2026

Tiger Data (creators of TimescaleDB) moved from Azure PostgreSQL to Tiger Cloud to combine operational database with real-time analytics across billions of time-series records.

Published

Signal category

Technology & Infrastructure

Quote

They stayed with Postgres, moving from Azure PostgreSQL to Tiger Cloud, combining their operational database with real-time analytics across billions of time-series records.

🐯 Michael Freedman|Tiger Data (creators of TimescaleDB) team

Company

Tiger Data (creators of TimescaleDB)

The fastest PostgreSQL cloud for time series, real-time analytics, and vector workloads. Creators of TimescaleDB

Industry
Software Development
Location
New York, US
Company size
156 employees

Tiger Data is addressing one of the largest challenges (and opportunities) in databases for years to come: helping developers, businesses, and society make sense of the data that humans and their machines are generating in copious amounts. Tiger Data is the fastest PostgreSQL cloud platform that natively supports full-SQL, combining the power, reliability, and ease-of-use of a relational database with the scalability typically seen in NoSQL systems. It is built on PostgreSQL and optimized for fast ingest and complex queries. Tiger Data is deployed for powering mission-critical applications, including industrial data analysis, complex monitoring systems, operational data warehousing, financial risk management, and geospatial asset tracking across industries as varied as manufacturing, space, utilities, oil & gas, logistics, mining, ad tech, finance, telecom, and more. Tiger Data is backed by NEA, Benchmark, Icon Ventures, Redpoint Ventures, Two Sigma Ventures, and Tiger Global. Documentation: https://docs.tigerdata.com/ GitHub: https://github.com/timescale/timescaledb Twitter: https://x.com/TimescaleDB

Founded 2015

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Tiger Data (creators of TimescaleDB) moved from Azure PostgreSQL to Tiger Cloud to combine operational database with real-time analytics across billions of time-series records. | SeedOps