Learn how Apache IoTDB 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
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Self-hosted
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Last 30 days
Last commit
Repository age
Version
License
Repository

Both Apache IoTDB 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.
TDengine significantly outpaces Apache IoTDB in community adoption with 25,083 stars compared to 6,382 stars on GitHub. This 3.9x difference suggests TDengine has a much larger and more active community. In terms of developer contributions, TDengine has 5,018 forks, indicating strong developer engagement.
Apache IoTDB and TDengine are moving at much the same rate, adding 11 stars and adding 83 stars respectively over the last 30 days (+0.2% vs +0.3%). Neither is pulling away from the other on momentum alone.
Both projects show recent activity, with Apache IoTDB last updated 8 hours ago and TDengine 13 hours ago.
Both tools share common technology foundations, being built with Bash, Python, C, Objective-C, Java, C++, C#. However, they differ in their additional technology choices: TDengine leverages JavaScript, CSS, Golang, Rust, PHP, MATLAB, Lua, R, Ada.
Both projects started around the same time, with Apache IoTDB beginning 8 years ago and TDengine 7 years ago.
The projects use different licenses: Apache IoTDB 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.
Apache IoTDB provides self-hosting options for complete data control and customization, while TDengine may be primarily cloud-based or require different deployment approaches.