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GreptimeDB vs Maple

Learn how GreptimeDB and Maple 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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GreptimeDB

Cloud-native observability database unifying metrics, logs, and traces with sub-second queries, 50x cost reduction, and seamless OpenTelemetry integration.
6,549stars+66(+1%)

Last 30 days

Screenshot of GreptimeDB
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.
1,692stars+32(+1.9%)

Last 30 days

Screenshot of Maple

Detailed Comparison

GreptimeDB 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.

GreptimeDB wins
Community & Popularity

GreptimeDB significantly outpaces Maple in community adoption with 6,549 stars compared to 1,692 stars on GitHub. This 3.9x difference suggests GreptimeDB has a much larger and more active community. In terms of developer contributions, GreptimeDB has 524 forks, indicating moderate developer engagement.

Maple wins
Growth Momentum

Maple is growing faster, adding 32 stars in the last 30 days (+1.9%) against adding 66 stars for GreptimeDB (+1%). 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 GreptimeDB last updated 1 day ago and Maple 1 day ago.

GreptimeDB wins
Project Maturity

GreptimeDB has been in development longer, starting 4 years ago, compared to Maple which began 6 months ago. This 3.9-year head start suggests GreptimeDB may have more mature features and established processes.

GreptimeDB wins
Licensing

GreptimeDB is licensed under Apache-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: GreptimeDB also focuses on Time Series Databases while Maple extends into Performance Monitoring (APM).

Comparable
Hosting & Deployment

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