Learn how QuestDB and TimescaleDb differ in their key features, development activity, technology stack and community adoption, so you can decide which of these time series databases is best for you.
Last 30 days
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Repository age
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Last 30 days
Last commit
Repository age
Version
Self-hosted
Repository

Both QuestDB and TimescaleDb have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Both tools have similar popularity levels, with QuestDB having 17,313 stars and TimescaleDb having 23,497 stars on GitHub. In terms of developer contributions, QuestDB has 1,647 forks, indicating strong developer engagement.
TimescaleDb is growing faster, adding 219 stars in the last 30 days (+0.9%) against adding 69 stars for QuestDB (+0.4%). TimescaleDb is both larger and pulling further ahead.
Both projects show recent activity, with QuestDB last updated 10 hours ago and TimescaleDb 14 hours ago.
Both tools share common technology foundations, being built with Bash, Python, C, Objective-C. However, they differ in their additional technology choices: QuestDB uses JavaScript, Golang, Rust, PHP, Java, C++, C# while TimescaleDb leverages Perl.
QuestDB has been in development longer, starting 12 years ago, compared to TimescaleDb which began 10 years ago. This 2.9-year head start suggests QuestDB may have more mature features and established processes.
QuestDB is licensed under Apache-2.0, while TimescaleDb's license terms are not publicly specified.
Both tools serve similar use cases in Time Series Databases. However, they also have distinct specializations: TimescaleDb extends into Relational Databases (SQL).
TimescaleDb provides self-hosting options for complete data control and customization, while QuestDB may be primarily cloud-based or require different deployment approaches.