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Maple vs Vector

Learn how Maple 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.

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Favicon of Maple

Maple

Observability platform built on OpenTelemetry and ClickHouse. Collect, visualize, and query distributed traces, logs, and metrics, with an MCP server for AI agent diagnostics.
1,722stars+62(+3.7%)

Last 30 days

Screenshot of Maple
Favicon of Vector

Vector

Rust-built observability pipeline tool that collects, transforms, and routes logs and metrics across 47 sources and 62 sinks with no runtime dependencies.
22,452stars+110(+0.5%)

Last 30 days

Screenshot of Vector

Detailed Comparison

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

Vector wins
Community & Popularity

Vector significantly outpaces Maple in community adoption with 22,452 stars compared to 1,722 stars on GitHub. This 13.0x 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.

Maple wins
Growth Momentum

Maple is growing faster, adding 62 stars in the last 30 days (+3.7%) against adding 110 stars for Vector (+0.5%). Maple 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 Maple last updated 10 hours ago and Vector 8 hours ago.

Vector wins
Project Maturity

Vector has been in development longer, starting 8 years ago, compared to Maple which began 6 months ago. This 7.6-year head start suggests Vector may have more mature features and established processes.

Vector wins
Licensing

Vector is licensed under MPL-2.0, while Maple's license terms are not publicly specified.

Comparable
Use Cases & Features

Both tools serve similar use cases in Log Management. However, they also have distinct specializations: Maple also focuses on Performance Monitoring (APM).

Comparable
Hosting & Deployment

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