What is the main difference between TDengine and TimescaleDb?

TDengine and TimescaleDb are both time series databases but differ in their approach, features, and target audience. Compare their GitHub stats, technology stack, and community adoption to make the best choice.

Which is better: TDengine or TimescaleDb?

The choice between TDengine and TimescaleDb depends on your specific needs, technical requirements, and team preferences. Both are quality open source solutions with active communities.

Can I migrate from TDengine to TimescaleDb?

Migration between TDengine and TimescaleDb is possible but requires careful planning. Consider data export/import capabilities, feature parity, and potential workflow changes.

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TDengine vs TimescaleDb

Learn how TDengine 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.

TDengine

High-performance time-series database with industrial data management, built-in stream analytics, and AI-driven anomaly detection for operational environments.

Visit TDengine Read more

25,115stars+54(+0.2%)

Last 30 days

Last commit
2 days ago
Repository age
7 years
Version
3.4.1.6
License
AGPL-3.0
Repository
taosdata/tdengine

TimescaleDb

PostgreSQL extension for time-series data with automatic partitioning, up to 95% columnar compression, continuous aggregates, and ~200 native SQL functions.

Visit TimescaleDb Read more

23,526stars+193(+0.8%)

Last 30 days

Last commit
7 hours ago
Repository age
10 years
Version
2.30.0
Self-hosted
Yes
Repository
timescale/timescaledb

Detailed Comparison

TimescaleDb appears to have several advantages over TDengine, particularly in growth, maturity and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.

Comparable

Community & Popularity

Both TDengine and TimescaleDb show comparable community engagement with 25,115 and 23,526 stars respectively. In terms of developer contributions, TDengine has 5,018 forks, indicating strong developer engagement.

TimescaleDb wins

Growth Momentum

TimescaleDb is growing faster, adding 193 stars in the last 30 days (+0.8%) against adding 54 stars for TDengine (+0.2%). TimescaleDb is the smaller project of the two, so it is closing the gap rather than extending a lead.

Comparable

Development Activity

Both projects show recent activity, with TDengine last updated 2 days ago and TimescaleDb 7 hours ago.

Comparable

Technology Stack

Both tools share common technology foundations, being built with Bash, Python, C, Objective-C. However, they differ in their additional technology choices: TDengine uses JavaScript, CSS, Golang, Rust, PHP, Java, C++, MATLAB, C#, Lua, R, Ada while TimescaleDb leverages Perl.

TimescaleDb wins

Project Maturity

TimescaleDb has been in development longer, starting 10 years ago, compared to TDengine which began 7 years ago. This 2.4-year head start suggests TimescaleDb may have more mature features and established processes.

TDengine wins

Licensing

TDengine is licensed under AGPL-3.0, while TimescaleDb's license terms are not publicly specified.

Comparable

Use Cases & Features

Both tools serve similar use cases in Time Series Databases. However, they also have distinct specializations: TimescaleDb extends into Relational Databases (SQL).

TimescaleDb wins

Hosting & Deployment

TimescaleDb provides self-hosting options for complete data control and customization, while TDengine may be primarily cloud-based or require different deployment approaches.