StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. JavaMelody vs Kadira

JavaMelody vs Kadira

OverviewComparisonAlternatives

Overview

Kadira
Kadira
Stacks51
Followers34
Votes15
GitHub Stars214
Forks109
JavaMelody
JavaMelody
Stacks1
Followers6
Votes2
GitHub Stars3.0K
Forks754

Kadira vs JavaMelody: What are the differences?

What is Kadira? Performance Monitoring for Meteor. See what’s going on with your app with different performance metrics and traces. Kadira tracks all your client and server errors automatically. You can profile your app in production or locally with Kadira and analyze it using an easy-to-use CPU analyzer.

What is JavaMelody? Monitoring of JavaEE applications. It is used to monitor Java or Java EE application servers in QA and production environments It is not a tool to simulate requests from users, it is a tool to measure and calculate statistics on real operation of an application depending on the usage of the application by users. It is mainly based on statistics of requests and on evolution charts..

Kadira can be classified as a tool in the "Performance Monitoring" category, while JavaMelody is grouped under "Java Tools".

Some of the features offered by Kadira are:

  • Performance Metrics and Traces
  • Error Tracking
  • CPU Profiling

On the other hand, JavaMelody provides the following key features:

  • give facts about the average response times and number of executions
  • make decisions when trends are bad, before problems become too serious
  • optimize based on the more limiting response times

Kadira is an open source tool with 218 GitHub stars and 103 GitHub forks. Here's a link to Kadira's open source repository on GitHub.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Kadira
Kadira
JavaMelody
JavaMelody

See what’s going on with your app with different performance metrics and traces. Kadira tracks all your client and server errors automatically. You can profile your app in production or locally with Kadira and analyze it using an easy-to-use CPU analyzer.

It is used to monitor Java or Java EE application servers in QA and production environments. It is not a tool to simulate requests from users, it is a tool to measure and calculate statistics on real operation of an application depending on the usage of the application by users. It is mainly based on statistics of requests and on evolution charts.

Performance Metrics and Traces;Error Tracking;CPU Profiling;System Metrics;Alerts;No Configuration Needed
give facts about the average response times and number of executions; make decisions when trends are bad, before problems become too serious; optimize based on the more limiting response times; find the root causes of response times; verify the real improvement after optimizations
Statistics
GitHub Stars
214
GitHub Stars
3.0K
GitHub Forks
109
GitHub Forks
754
Stacks
51
Stacks
1
Followers
34
Followers
6
Votes
15
Votes
2
Pros & Cons
Pros
  • 9
    Best performance monitoring tool for the best framewor
  • 4
    Drop in integration
  • 2
    Just Look
Pros
  • 1
    Open source
  • 1
    Easy to setup
Integrations
Meteor
Meteor
No integrations available

What are some alternatives to Kadira, JavaMelody?

New Relic

New Relic

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

Datadog

Datadog

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!

Raygun

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

AppSignal

AppSignal

AppSignal gives you and your team alerts and detailed metrics about your Ruby, Node.js or Elixir application. Sensible pricing, no aggressive sales & support by developers.

Quarkus

Quarkus

It tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near instant scale up and high density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile time boot.

AppDynamics

AppDynamics

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

Stackify

Stackify

Stackify offers the only developers-friendly innovative cloud based solution that fully integrates application performance management (APM) with error and log. Allowing them to easily monitor, detect and resolve application issues faster

Skylight

Skylight

Skylight is a smart profiler for your Rails apps that visualizes request performance across all of your servers.

Librato

Librato

Librato provides a complete solution for monitoring and understanding the metrics that impact your business at all levels of the stack. We provide everything you need to visualize, analyze, and actively alert on the metrics that matter to you.

Keymetrics

Keymetrics

PM2 is a production process manager for Node.js applications with a built-in load balancer. It allows you to keep applications alive forever, to reload them without downtime and to facilitate common system admin tasks.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot