GreptimeDB vs Prometheus

Prometheus significantly outpaces GreptimeDB in community adoption with 65,763 stars compared to 6,554 stars on GitHub. This 10.0x difference suggests Prometheus has a much larger and more active community. In terms of developer contributions, Prometheus has 10,780 forks, indicating strong developer engagement.

GreptimeDB is growing faster, adding 66 stars in the last 30 days (+1%) against adding 456 stars for Prometheus (+0.7%). GreptimeDB is the smaller project of the two, so it is closing the gap rather than extending a lead.

Both projects show recent activity, with GreptimeDB last updated 15 hours ago and Prometheus 13 hours ago.

Both tools share common technology foundations, being built with JavaScript, Bash, Typescript. However, they differ in their additional technology choices: GreptimeDB uses Python, Rust while Prometheus leverages CSS, JSX, SCSS, Golang.

Prometheus has been in development longer, starting 14 years ago, compared to GreptimeDB which began 4 years ago. This 9.5-year head start suggests Prometheus may have more mature features and established processes.

Both projects use the Apache-2.0 license, providing identical terms for usage and distribution.

Both tools serve similar use cases in Time Series Databases. However, they also have distinct specializations: GreptimeDB also focuses on Log Management while Prometheus extends into Infrastructure Monitoring.

Both GreptimeDB and Prometheus offer self-hosting capabilities, giving you full control over your data and infrastructure.