Dev tools · September 13, 2019
TimescaleDB
An open source time-series SQL database powered by Postgres!
TimescaleDB launched on September 13, 2019 with 9 votes, #951 of 3,296 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 7 years on.
What it does
TimescaleDB is an open-source database designed to make SQL scalable for time-series data. It is engineered up from PostgreSQL, providing automatic partitioning across time and space (partitioning key), as well as full SQL support.
A time-series database for high-performance real-time analytics packaged as a Postgres extension - timescale/timescaledb
Does a similar job
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- UTUpdating the TimescaleDB license thanks to HN2020 · ▲25
4 months ago, our announcement for our free, multi-node, petabyte-scale time-series database generated 200+ comments: https://news.ycombinator.com/item?id=23272992 Many commented on the Timescale License, our source-available license governing advanced features (eg multi-node). Most were positive, but some pointed out drawbacks (who says HN can't be productive!). That spurred an internal debate. Today we're happy to share an updated Timescale License with new rights, including the "right-to-repair" and "right-to-improve." And we’re doubling-down on our community, making all…
Pg_deltax, Apache-licensed alternative to TimescaleDBMay 2026 · github.com · ▲39Fast time-series extension for PostgreSQL. Contribute to xataio/deltax development by creating an account on GitHub.
Query 1.6B rows in milliseconds, live2020 · try.questdb.io · ▲271QuestDB live demo. Query three large datasets and more than 2 billion rows in milliseconds with SQL
QuestDB – fast time series database, zero-GC Java2019 · questdb.io · ▲22QuestDB is the open-source time-series database for demanding workloads: ultra-low latency, high throughput, tiered storage, and fast SQL on open formats.
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