BenchRank
#24 in DatabasesUpdated 2026-08

QuestDB

by QuestDB · Open-source time-series database with SQL over hot and Parquet storage

50.8 — BenchRank score out of 100

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  • Homepage
  • Pricing page

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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 from QuestDB’s own pricing page, in USD. Usage charges and add-ons may apply on top.

QuestDB pricing tiers, monthly rates in USD
PlanMonthlyIncludes
QuestDB Open Source
  • Apache 2.0, self-managed binaries, containers or source
  • Single instance; no replication, failover or tiering
  • Basic auth only, over unencrypted transmission
  • Community support via forum, Slack and GitHub
QuestDB EnterpriseContact sales
  • Replication, automatic failover and multi-AZ read replicas
  • TLS, RBAC including column level, SSO via OAuth 2.0/OIDC, audit logs
  • Auto-tiering to Parquet and Iceberg on S3, Azure Blob or GCS
  • 24/7 support with a 99.9% uptime SLA; self-managed, on-prem or BYOC

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
10 out of 100
Documentation
90 out of 100
Agent friendliness
93 out of 100
Pricing transparency
65 out of 100
Changelog
80 out of 100
Marketing site structure
85 out of 100
Operational trust
20 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
85 out of 100
Maintenance
100 out of 100

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