QuestDB
by QuestDB · Open-source time-series database with SQL over hot and Parquet storage
BenchRank score
Screenshots of QuestDB
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Overview
QuestDB is an open-source time-series database queried with SQL, including time-series extensions such as SAMPLE BY, ASOF JOIN, HORIZON JOIN and materialised views. Writes land in a write-ahead log for durability, then in a time-partitioned columnar format. Enterprise adds automatic tiering of older data to Parquet on S3, Azure Blob or GCS, queried through the same SQL engine.
- Best for
- Engineering teams ingesting high-rate trading, sensor or telemetry data and querying it in SQL
- Pricing
- No prices are shown: the open-source edition is a free Apache 2.0 download, and QuestDB Enterprise is only offered through a trial or a sales contact.
- Runs on
- macOSSelf-hostedCLI
Strengths and trade-offs
Strengths
- Apache 2.0 core; data kept in open Parquet and Iceberg formats
- Time-series SQL: SAMPLE BY, ASOF JOIN, materialised views
- One SQL query spans hot local storage and cold object storage
- Runs on Docker, Kubernetes, AWS, Azure, GCP, Linux, macOS, Windows
Trade-offs
- Open source edition is single-instance: no replication or failover
- OSS auth is basic over unencrypted transport; TLS, RBAC and SSO are Enterprise
- Automatic tiering to Parquet object storage is Enterprise-only
- No Enterprise prices published; you must contact sales for a quote
Pricing
Published plans and prices from QuestDB’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 QuestDB 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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