Learn how InfluxDB and TDengine 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
Repository age
Version
License
Repository

Last 30 days
Last commit
Repository age
Version
License
Repository

Both InfluxDB and TDengine 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 InfluxDB having 31,689 stars and TDengine having 25,054 stars on GitHub. In terms of developer contributions, TDengine has 5,014 forks, indicating strong developer engagement.
InfluxDB and TDengine are moving at much the same rate, adding 49 stars and adding 98 stars respectively over the last 30 days (+0.2% vs +0.4%). Neither is pulling away from the other on momentum alone.
Both projects show recent activity, with InfluxDB last updated 1 day ago and TDengine 18 hours ago.
Both tools share common technology foundations, being built with Bash, Python, Rust. However, they differ in their additional technology choices: TDengine leverages JavaScript, CSS, Golang, C, Objective-C, PHP, Java, C++, MATLAB, C#, Lua, R, Ada.
InfluxDB has been in development longer, starting 13 years ago, compared to TDengine which began 7 years ago. This 5.9-year head start suggests InfluxDB may have more mature features and established processes.
The projects use different licenses: InfluxDB is licensed under Apache-2.0 while TDengine uses AGPL-3.0. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in Time Series Databases.