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
Last commit
6 hours agoRepository age
13 yearsVersion
10.1.0License
Apache-2.0Repository
questdb/questdb
Last 30 days
Last commit
22 hours agoRepository age
10 yearsVersion
2.31.0Self-hosted
YesRepository
timescaledb
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 17,513 stars and TimescaleDb having 23,830 stars on GitHub. In terms of developer contributions, QuestDB has 1,693 forks, indicating strong developer engagement.
QuestDB and TimescaleDb are moving at much the same rate, adding 76 stars and adding 159 stars respectively over the last 30 days (+0.4% vs +0.7%). Neither is pulling away from the other on momentum alone.
Both projects show recent activity, with QuestDB last updated 6 hours ago and TimescaleDb 22 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 13 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.