10 engineers on Hacker News describe using TimescaleDB first-hand: 2 endorse it, 2 regret it, 0 are mixed.
“Instead we run everything on TigerData (creators of TimescaleDB)’s PostgreSQL platform (TimescaleDB + pgVector + pgAI).”
endorse · production · ishita159 · 2025-08-19 · source ↗ · wrong label?“Despite trying to use timescale for this purpose it did not fit our use case.”
regret · production · osigurdson · 2024-12-07 · source ↗ · wrong label?“We initially used Timescale for our GraphQL Metrics product but very quickly ran into scaling & performance issues.”
regret · production · mxstbr · 2023-10-01 · source ↗ · wrong label?“We migrated almost a year ago ... and have found Timescale to work out well.”
endorse · production · 1 yr · LogicX · 2018-08-09 · source ↗ · wrong label?“I'm interested to use Pglite for local unit-testing, but I'm using timescaledb in prod”
neutral · production · oulipo2 · 2025-12-04 · source ↗ · wrong label?“We replaced it with postgres+timescale on one average server.”
neutral · production · yetihehe · 2025-04-22 · source ↗ · wrong label?“I used rtl-sdr to pipe the data into a TimescaleDB instance (and slapped Grafana in front of it).”
neutral · personal · inferiorhuman · 2022-08-14 · source ↗ · wrong label?“we switched over to timescaleDB. Will be hitting production in the next few weeks.”
neutral · production · cdolan · 2020-08-08 · source ↗ · wrong label?“We switched from InfluxDB to TimescaleDB for our IoT solutions.”
neutral · production · ecoqba11 · 2020-07-21 · source ↗ · wrong label?“We use http://redash.io to look at our timescale data.”
neutral · production · LogicX · 2018-12-14 · source ↗ · wrong label?