TimescaleDB
by TimescaleDb · Time-series and real-time analytics on PostgreSQL
39.1 — BenchRank score out of 100
Screenshots of TimescaleDB
Homepage Pricing page
Overview
TimescaleDB is an open-source time-series database built on PostgreSQL. Hypertables partition an ordinary Postgres table by time or id, and data converts between row storage for ingest and a compressed columnstore for analytical scans. Continuous aggregates, retention policies and columnstore conversion run as scheduled background jobs with retries.
- Best for
- Teams keeping high-volume time-series data in Postgres who want compressed history and live analytics.
- Pricing
- No prices appear in the captured text; the page offers a free trial, a contact-sales route, and an open-source download.
- Runs on
- WebSelf-hosted
Strengths and trade-offs
Strengths
- Runs on Postgres and is described as 100% PostgreSQL compatible
- Hypertables partition a table by time or id automatically
- Columnar compression stated at up to 95%
- ~200 native SQL time-series functions (hyperfunctions)
Trade-offs
- Postgres-only; no use if your stack is not PostgreSQL-based
- No prices shown — cloud and enterprise plans go through sales
- Self-managed use means running and tuning Postgres yourself
- Compression and speed figures are the vendor's own claims
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
- MCP support
- 0 out of 100
- API quality
- 0 out of 100
- Documentation
- 65 out of 100
- Agent friendliness
- 90 out of 100
- Pricing transparency
- 15 out of 100
- Changelog
- 100 out of 100
- Marketing site structure
- 75 out of 100
- Operational trust
- 10 out of 100
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
- Openness
- 55 out of 100
- Maintenance
- 100 out of 100
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