What is the main difference between GreptimeDB and Maple?

GreptimeDB and Maple are both log management tools but differ in their approach, features, and target audience. Compare their GitHub stats, technology stack, and community adoption to make the best choice.

Which is better: GreptimeDB or Maple?

The choice between GreptimeDB and Maple depends on your specific needs, technical requirements, and team preferences. Both are quality open source solutions with active communities.

Can I migrate from GreptimeDB to Maple?

Migration between GreptimeDB and Maple is possible but requires careful planning. Consider data export/import capabilities, feature parity, and potential workflow changes.

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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.

GreptimeDB

Cloud-native observability database unifying metrics, logs, and traces with sub-second queries, 50x cost reduction, and seamless OpenTelemetry integration.

Visit GreptimeDB Read more

6,649stars+112(+1.7%)

Last 30 days

Last commit
8 hours ago
Repository age
4 years
Version
v1.1.4
License
Apache-2.0
Self-hosted
Yes
Repository
greptimeteam/greptimedb

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.

Visit Maple Read more

1,768stars+108(+6.5%)

Last 30 days

Last commit
15 hours ago
Repository age
7 months
Version
v0.0.22
Self-hosted
Yes
Repository
mapletechlabs/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, technology, maturity, licensing and features when making your decision.

GreptimeDB wins

Community & Popularity

GreptimeDB significantly outpaces Maple in community adoption with 6,649 stars compared to 1,768 stars on GitHub. This 3.8x difference suggests GreptimeDB has a much larger and more active community. In terms of developer contributions, GreptimeDB has 540 forks, indicating moderate developer engagement.

Maple wins

Growth Momentum

Maple is growing faster, adding 108 stars in the last 30 days (+6.5%) against adding 112 stars for GreptimeDB (+1.7%). 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 8 hours ago and Maple 15 hours ago.

Comparable

Technology Stack

Both tools share common technology foundations, being built with JavaScript, Bash, Typescript, Python, Rust. However, they differ in their additional technology choices: Maple leverages CSS, JSX, Golang, Vue, Swift.

GreptimeDB wins

Project Maturity

GreptimeDB has been in development longer, starting 4 years ago, compared to Maple which began 7 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