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. Monitoring
  4. Monitoring Tools
  5. Jaeger vs Netflix FlameScope

Jaeger vs Netflix FlameScope

OverviewComparisonAlternatives

Overview

Jaeger
Jaeger
Stacks340
Followers464
Votes25
GitHub Stars22.0K
Forks2.7K
Netflix FlameScope
Netflix FlameScope
Stacks6
Followers16
Votes0
GitHub Stars3.1K
Forks176

Jaeger vs Netflix FlameScope: What are the differences?

## Introduction

Key Differences between Jaeger and Netflix FlameScope:

1. **Architecture**: Jaeger is a distributed tracing system that focuses on capturing end-to-end traces across distributed systems, while Netflix FlameScope is a performance visualization tool that helps in profiling and analyzing stack traces of Python applications.
2. **Use Case**: Jaeger is more suitable for monitoring and troubleshooting microservices architectures with complex interactions and dependencies, whereas Netflix FlameScope is primarily used for identifying performance bottlenecks and inefficiencies in Python applications.
3. **Interface**: Jaeger provides a user-friendly web interface for visualizing traces, analyzing latency, and identifying error patterns, while Netflix FlameScope offers an interactive visualization tool specifically designed for analyzing CPU performance profiles of Python applications.
4. **Integration**: Jaeger easily integrates with popular observability tools like Grafana and Prometheus for comprehensive monitoring and alerting capabilities, whereas Netflix FlameScope seamlessly integrates with Python profiling tools like Py-Spy for generating flame graphs.
5. **Community Support**: Jaeger has a larger community of contributors and users, leading to more frequent updates, bug fixes, and feature enhancements, compared to the relatively smaller community support for Netflix FlameScope.
6. **Scalability**: Jaeger is designed to handle large-scale distributed systems with built-in features for scalability and performance optimization, while Netflix FlameScope is more focused on providing in-depth analysis and visualization of CPU profiles for Python applications.

In Summary, Jaeger and Netflix FlameScope differ in architecture, use case, interface, integration, community support, and scalability, catering to different needs in monitoring and performance analysis of distributed systems and Python applications.

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

Jaeger
Jaeger
Netflix FlameScope
Netflix FlameScope

Jaeger, a Distributed Tracing System

FlameScope begins by displaying the input data as an interactive subsecond-offset heat map. This shows patterns in the data. You can then select a time range to highlight on different patterns, and a flame graph will be generated just for that time range.

Statistics
GitHub Stars
22.0K
GitHub Stars
3.1K
GitHub Forks
2.7K
GitHub Forks
176
Stacks
340
Stacks
6
Followers
464
Followers
16
Votes
25
Votes
0
Pros & Cons
Pros
  • 7
    Open Source
  • 7
    Easy to install
  • 6
    Feature Rich UI
  • 5
    CNCF Project
No community feedback yet
Integrations
Golang
Golang
Elasticsearch
Elasticsearch
Cassandra
Cassandra
No integrations available

What are some alternatives to Jaeger, Netflix FlameScope?

Grafana

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Sensu

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

Graphite

Graphite

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

Lumigo

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

StatsD

StatsD

It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana