What it does
QuestDB is a time-series database that combines event ingestion with SQL queries over recent and historical data. The official quick start describes running an instance through Docker, Homebrew, or a binary, then opening the Web Console and creating a sample database table. The open-source engine is self-managed software; QuestDB also presents an Enterprise offering for capabilities such as high availability, security controls, and tiered storage.
A local path from startup to a first query
QuestDB's quick start offers Docker, Homebrew and binary installation paths. Once the instance is running, the guide directs the reader to its Web Console and demonstrates a first SQL table, insert and query. A small telemetry example could store each sensor reading with a timestamp and numeric value, then query a time range or aggregate values for a dashboard. The commands and scenario here describe the documentation workflow. The product is purpose-built for time-series data rather than a generic relational deployment. Its SQL interface and time-oriented query workflow make it useful for measurements and event streams that need to remain queryable as history accumulates. Operators of the open-source engine remain responsible for the instance and its storage. QuestDB's upstream repository identifies the core as open source and publishes an Apache 2.0 license. The Enterprise page separately describes production capabilities including high availability, security and tiered storage, and directs prospective customers to sales. Enterprise rates were not established here, so the Open Source pricing classification applies to the self-managed core only.
Strengths
- The quick start provides multiple documented installation paths and a browser-based Web Console for the first SQL workflow.
- A timestamped table can be created, populated and queried using the documented SQL interface.
- The core project is published under the Apache License 2.0.
Watch out for
- The open-source core is self-managed; operators must provide and maintain the instance and its storage.
- High availability, enterprise security and tiered-storage capabilities are presented as Enterprise features rather than assumed in the core workflow.
Best for
- Developers who want to keep timestamped measurements or event data queryable with SQL
- Teams evaluating a self-managed time-series engine before considering separate Enterprise operations features
Sources
- QuestDB | Low-latency time-series database on open formats (Oct 25, 2026)
- Quick start | QuestDB (Oct 25, 2026)
- QuestDB Enterprise: Time-Series Database and Lakehouse | QuestDB (Oct 25, 2026)
- questdb/LICENSE.txt at master · questdb/questdb · GitHub (Oct 25, 2026)