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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Jaeger vs LightStep

Jaeger vs LightStep

OverviewComparisonAlternatives

Overview

Jaeger
Jaeger
Stacks342
Followers464
Votes25
GitHub Stars22.0K
Forks2.7K
LightStep
LightStep
Stacks31
Followers67
Votes15

Jaeger vs LightStep: What are the differences?

## Introduction
In the landscape of distributed tracing tools, Jaeger and LightStep stand out as popular choices for monitoring and troubleshooting complex systems. While both provide similar functionalities, they do differ in some key aspects.

1. **Data Sampling Approach**: Jaeger employs a head-based sampling approach, where sampling decisions are made at the beginning of a trace. In contrast, LightStep utilizes tail-based sampling, making decisions at the end of a trace. This difference affects the completeness and accuracy of the sampled data, influencing the overall trace analysis results.

2. **Backend Storage Options**: Jaeger offers an open-source backend storage option, relying on databases like Elasticsearch or Cassandra to store tracing data. On the other hand, LightStep provides a managed backend solution, handling data storage and processing internally. This variance in storage options can impact scalability, maintenance, and performance based on an organization's specific requirements.

3. **User Interface and Visualization**: LightStep is known for its highly intuitive and visually appealing user interface, offering advanced visualization features such as histograms and flame graphs. Jaeger, although functional, may lack some advanced visualization capabilities, making it slightly less user-friendly for complex trace analysis tasks.

4. **Trace Analysis Capabilities**: LightStep excels in offering advanced trace analysis capabilities by providing features like end-to-end latency optimization and outlier detection. Jaeger, while powerful, may not offer the same level of depth in trace analysis functionality, potentially limiting the insights that can be derived from traced data.

5. **Pricing Model**: One significant distinguishing factor between Jaeger and LightStep is their pricing models. Jaeger being open-source is often more cost-effective for organizations looking to set up tracing infrastructure at scale without incurring licensing fees. LightStep, being a commercial product, may involve licensing costs based on usage and features required, making it a more substantial investment for some enterprises.

6. **Community Support and Ecosystem Integration**: Jaeger, being open-source, benefits from a vibrant community of contributors and integrations with popular observability tools like Prometheus and Grafana. While LightStep offers integrations with various tools as well, the level of community support and ecosystem diversity for Jaeger can provide additional flexibility and customization options for users.

In Summary, Jaeger and LightStep exhibit distinct differences in data sampling approaches, backend storage options, user interfaces, trace analysis capabilities, pricing models, and community support, catering to different needs and preferences within the realm of distributed tracing.

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Detailed Comparison

Jaeger
Jaeger
LightStep
LightStep

Jaeger, a Distributed Tracing System

It diagnoses anomalies and slowdowns, spanning mobile, monoliths, and micro services: best-in-class observability, at scale, for modern applications.

-
ANALYZE EVERY TRANSACTION; MEASURE PERFORMANCE WHERE IT MATTERS MOST; PINPOINT THE ROOT CAUSE
Statistics
GitHub Stars
22.0K
GitHub Stars
-
GitHub Forks
2.7K
GitHub Forks
-
Stacks
342
Stacks
31
Followers
464
Followers
67
Votes
25
Votes
15
Pros & Cons
Pros
  • 7
    Easy to install
  • 7
    Open Source
  • 6
    Feature Rich UI
  • 5
    CNCF Project
Pros
  • 3
    Easy setup
  • 3
    Powerful UI
  • 3
    Fast RCA
  • 3
    Great Value
  • 3
    Observability End-to-End
Integrations
Golang
Golang
Elasticsearch
Elasticsearch
Cassandra
Cassandra
Jenkins
Jenkins
Jira
Jira
Prometheus
Prometheus
Grafana
Grafana
DigitalOcean
DigitalOcean
GitHub Actions
GitHub Actions
Heroku
Heroku
Datadog
Datadog
Slack
Slack
PagerDuty
PagerDuty

What are some alternatives to Jaeger, LightStep?

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!

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.

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.

Nagios

Nagios

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

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.

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

AppDynamics

AppDynamics

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

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