Learn how GreptimeDB and Vector differ in their key features, development activity, technology stack and community adoption, so you can decide which of these log management tools is best for you.
Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Both GreptimeDB and Vector have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, maturity, licensing and features when making your decision.
Vector significantly outpaces GreptimeDB in community adoption with 22,452 stars compared to 6,568 stars on GitHub. This 3.4x difference suggests Vector has a much larger and more active community. In terms of developer contributions, Vector has 2,267 forks, indicating strong developer engagement.
GreptimeDB is growing faster, adding 67 stars in the last 30 days (+1%) against adding 110 stars for Vector (+0.5%). 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 12 hours ago and Vector 8 hours ago.
Vector has been in development longer, starting 8 years ago, compared to GreptimeDB which began 4 years ago. This 3.7-year head start suggests Vector may have more mature features and established processes.
The projects use different licenses: GreptimeDB is licensed under Apache-2.0 while Vector uses MPL-2.0. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in Log Management. However, they also have distinct specializations: GreptimeDB also focuses on Time Series Databases.
Both GreptimeDB and Vector offer self-hosting capabilities, giving you full control over your data and infrastructure.