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  1. Stackups
  2. DevOps
  3. Error Tracking
  4. Exception Monitoring
  5. Airbrake vs ErrorShip

Airbrake vs ErrorShip

OverviewComparisonAlternatives

Overview

Airbrake
Airbrake
Stacks299
Followers298
Votes128
ErrorShip
ErrorShip
Stacks0
Followers3
Votes0

Airbrake vs ErrorShip: What are the differences?

Airbrake: Airbrake captures and groups errors in Ruby, iOS, Django, PHP & more. Airbrake collects errors for your applications in all major languages and frameworks. We alert you to new errors and give you critical context, trends and details needed to find and fix errors fast; ErrorShip: Use Datadog as an error tracker. It is a Python library that sends exceptions/errors generated by your application to your Datadog account The exceptions together with their stacktraces are then rendered beatifully with proper syntax highlighting preserved. You can search for exceptions in Datadog using the tags that you had set or via full text search..

Airbrake and ErrorShip belong to "Exception Monitoring" category of the tech stack.

Some of the features offered by Airbrake are:

  • Dupe Detection- Developers will only receive an email once when an error occurs — rather than getting buried under an error email avalanche.
  • Auto Resolve- An action on each application deployment — that way developers can focus on the problems that exist today, not the ones from last month.
  • Github Aware- Airbrake is github-aware, and can link code in your Airbrake error stack traces to the corresponding locations on github.

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

  • Simplicity
  • No context switching
  • No changes in your datadog pricing

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Detailed Comparison

Airbrake
Airbrake
ErrorShip
ErrorShip

Airbrake collects errors for your applications in all major languages and frameworks. We alert you to new errors and give you critical context, trends and details needed to find and fix errors fast.

It is a Python library that sends exceptions/errors generated by your application to your Datadog account. The exceptions together with their stacktraces are then rendered beatifully with proper syntax highlighting preserved. You can search for exceptions in Datadog using the tags that you had set or via full text search.

Dupe Detection- Developers will only receive an email once when an error occurs — rather than getting buried under an error email avalanche.;Auto Resolve- An action on each application deployment — that way developers can focus on the problems that exist today, not the ones from last month.;Github Aware- Airbrake is github-aware, and can link code in your Airbrake error stack traces to the corresponding locations on github.;RSS- Airbrake offers an RSS feed of error activity, so errors can be monitored using feed readers.;Lighthouse Integration- Airbrake integrates with the Lighthouse bug/ticket tracking application, for easy discussion of errors and integration with your existing workflow.;SSL Secure- Airbrake can be accessed over SSL-protected secure connections to keep your data completely private. The application itself is updated regularly with the latest security patches.;Multiple Projects- Easily track and navigate errors from multiple projects for up to 64 projects.;Fully supported platforms/languages- Ruby on Rails, iOS
Simplicity; No context switching; No changes in your datadog pricing; It seamlessly integrates with all your other libraries. It works with django, flask, celery, gunicorn etc; Compatible with both python2 and python3; High performance
Statistics
Stacks
299
Stacks
0
Followers
298
Followers
3
Votes
128
Votes
0
Pros & Cons
Pros
  • 28
    Reliable
  • 25
    Consolidates similar errors
  • 22
    Easy setup
  • 15
    Slack Integration
  • 10
    Github Integration
Cons
  • 0
    Rejects error report if non-latin characters exists
No community feedback yet
Integrations
GitHub
GitHub
ExpressJS
ExpressJS
Chef
Chef
Slack
Slack
PHP
PHP
JavaScript
JavaScript
Django
Django
Zapier
Zapier
Heroku
Heroku
Python
Python
No integrations available

What are some alternatives to Airbrake, ErrorShip?

Sentry

Sentry

Sentry’s Application Monitoring platform helps developers see performance issues, fix errors faster, and optimize their code health.

Rollbar

Rollbar

Rollbar is the leading continuous code improvement platform that proactively discovers, predicts, and remediates errors with real-time AI-assisted workflows. With Rollbar, developers continually improve their code and constantly innovate ra

Bugsnag

Bugsnag

Bugsnag captures errors from your web, mobile and back-end applications, providing instant visibility into user impact. Diagnostic data and tools are included to help your team prioritize, debug and fix exceptions fast.

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.

Opbeat

Opbeat

Opbeat is application monitoring for developers, and gives you performance metrics, error logging, release tracking and workflow in one smart product.

Honeybadger

Honeybadger

Honeybadger does more than report errors, it helps you work with your team to fix them. Errors can be assigned. You can comment via email. And a fine-grained permissions system means you control who has access to each specific project.

Errbit

Errbit

Errbit is a tool for collecting and managing errors from other applications. It is Airbrake (formerly known as Hoptoad) API compliant, so if you are already using Airbrake, you can just point the airbrake gem to your Errbit server.

OverOps

OverOps

OverOps maps the DNA of code as it’s executing in pre-prod and production to Identify all issues and anomalies, and deliver True Root Cause to the right person, without relying on logs.

TrackJS

TrackJS

Production error monitoring and reporting for web applications. TrackJS provides deep insights into real user errors. See the user, network, and application events that tell the story of an error so you can actually fix them.

App Enlight

App Enlight

App Enlight provides a helpful interface to let you and your team save time spent on debugging and reproducing exceptions and performance issues from a production environment.

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