Learn how GreptimeDB and Prometheus 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.

Prometheus appears to have several advantages over GreptimeDB, particularly in popularity, maturity and features. Consider your specific needs regarding popularity, activity, maturity, licensing and features when making your decision.
Prometheus significantly outpaces GreptimeDB in community adoption with 65,391 stars compared to 6,510 stars on GitHub. This 10.0x difference suggests Prometheus has a much larger and more active community. In terms of developer contributions, Prometheus has 10,727 forks, indicating strong developer engagement.
Both projects show recent activity, with GreptimeDB last updated 10 hours ago and Prometheus 10 hours ago.
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.
Prometheus provides self-hosting options for complete data control and customization, while GreptimeDB may be primarily cloud-based or require different deployment approaches.

Activity score
Stars
Forks
Last commit
Activity score
Stars
Forks
Last commit
Repository age
Version
License
Repository
License
Self-hosted
Repository