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Logstash vs Maple

Learn how Logstash 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.

vs
Favicon of Logstash

Logstash

Logstash is a free and open server-side data processing pipeline that ingests data from multiple sources, transforms it, and sends it to your desired destination.
14,926stars+19(+0.1%)

Last 30 days

  • Last commit


    7 hours ago
  • Repository age


    16 years
  • Version


    v9.5.1
  • Self-hosted


    Yes
  • Repository


    elastic/logstash
Screenshot of Logstash
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.
1,701stars+41(+2.5%)

Last 30 days

Screenshot of Maple

Detailed Comparison

Both Logstash and Maple have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, maturity and features when making your decision.

Logstash wins
Community & Popularity

Logstash significantly outpaces Maple in community adoption with 14,926 stars compared to 1,701 stars on GitHub. This 8.8x difference suggests Logstash has a much larger and more active community. In terms of developer contributions, Logstash has 3,504 forks, indicating strong developer engagement.

Maple wins
Growth Momentum

Maple is growing faster, adding 41 stars in the last 30 days (+2.5%) against adding 19 stars for Logstash (+0.1%). 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 Logstash last updated 7 hours ago and Maple 7 hours ago.

Logstash wins
Project Maturity

Logstash has been in development longer, starting 16 years ago, compared to Maple which began 6 months ago. This 15.5-year head start suggests Logstash may have more mature features and established processes.

Comparable
Use Cases & Features

Both tools serve similar use cases in Log Management. However, they also have distinct specializations: Logstash also focuses on ETL & Data Integration, Stream Processing while Maple extends into Performance Monitoring (APM).

Comparable
Hosting & Deployment

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