TimescaleDB
by TimescaleDb · Time-series and real-time analytics on PostgreSQL
BenchRank score
Screenshots of TimescaleDB
Homepage
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
Pricing
Published plans and prices from TimescaleDB’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
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
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The TimescaleDB pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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Is this your product?
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