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

Airbrake vs Datadog

OverviewDecisionsComparisonAlternatives

Overview

Airbrake
Airbrake
Stacks299
Followers298
Votes128
Datadog
Datadog
Stacks9.8K
Followers8.2K
Votes861

Airbrake vs Datadog: What are the differences?

Introduction

Airbrake and Datadog are both popular monitoring tools used by developers to track application errors and performance issues. While they share some common features, there are several key differences between these two tools. This article will highlight and explain six important differences between Airbrake and Datadog.

  1. Pricing: Airbrake offers different pricing plans based on the number of projects or users, while Datadog pricing is based on the number of hosts or containers being monitored. This can be a significant factor when choosing between the two, depending on the specific needs and size of your organization.

  2. Alerting Capabilities: Airbrake focuses primarily on error tracking and provides proactive error alerts via email, Slack, and other channels. In contrast, Datadog offers a broader range of alerting capabilities, allowing you to set up alerts based on specific metrics, logs, and events, making it more suitable for complex monitoring scenarios.

  3. Integration Options: Both Airbrake and Datadog provide integrations with popular programming languages and frameworks. However, Datadog offers a wider range of integrations with various tools and services, including cloud providers, databases, and automation tools. This gives developers more flexibility when it comes to connecting their monitoring data with other parts of their infrastructure.

  4. Performance Monitoring: Datadog offers comprehensive performance monitoring capabilities, allowing you to track and analyze metrics such as CPU usage, memory usage, and response times. Airbrake, on the other hand, primarily focuses on tracking exceptions and errors, without providing detailed performance monitoring features. If performance monitoring is a crucial aspect of your application monitoring strategy, Datadog may be more suitable.

  5. Infrastructure Monitoring: While both Airbrake and Datadog focus on application monitoring, Datadog also includes robust infrastructure monitoring capabilities. This means you can monitor the health and performance of your servers, containers, and network infrastructure alongside your application metrics. Airbrake, in comparison, is primarily focused on application-level monitoring, without as much emphasis on the underlying infrastructure.

  6. User Interface and Reporting: Datadog offers a more comprehensive and customizable user interface, allowing you to create dashboards and reports tailored to your specific needs. Airbrake, on the other hand, provides a simpler and more streamlined user interface, which may be easier to navigate for those seeking a more straightforward monitoring solution.

In summary, Airbrake and Datadog differ in their pricing models, alerting capabilities, integration options, performance monitoring features, infrastructure monitoring capabilities, and user interface. The choice between the two tools depends on your specific monitoring requirements, budget, and preference for a more streamlined or comprehensive monitoring solution.

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Advice on Airbrake, Datadog

Farzeem Diamond
Farzeem Diamond

Software Engineer at IVP

Jul 21, 2020

Needs adviceonDatadogDatadogDynatraceDynatraceAppDynamicsAppDynamics

Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.

Current Environment: .NET Core Web app hosted on Microsoft IIS

Future Environment: Web app will be hosted on Microsoft Azure

Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server

Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.

Please advise on the above. Thanks!

1.59M views1.59M
Comments
Medeti
Medeti

Jun 27, 2020

Needs adviceonAmazon EKSAmazon EKSKubernetesKubernetesAWS Elastic Load Balancing (ELB)AWS Elastic Load Balancing (ELB)

We are looking for a centralised monitoring solution for our application deployed on Amazon EKS. We would like to monitor using metrics from Kubernetes, AWS services (NeptuneDB, AWS Elastic Load Balancing (ELB), Amazon EBS, Amazon S3, etc) and application microservice's custom metrics.

We are expected to use around 80 microservices (not replicas). I think a total of 200-250 microservices will be there in the system with 10-12 slave nodes.

We tried Prometheus but it looks like maintenance is a big issue. We need to manage scaling, maintaining the storage, and dealing with multiple exporters and Grafana. I felt this itself needs few dedicated resources (at least 2-3 people) to manage. Not sure if I am thinking in the correct direction. Please confirm.

You mentioned Datadog and Sysdig charges per host. Does it charge per slave node?

1.51M views1.51M
Comments
Benoit
Benoit

Principal Engineer at Sqreen

Sep 17, 2019

Decided

I chose Datadog APM because the much better APM insights it provides (flamegraph, percentiles by default).

The drawbacks of this decision are we had to move our production monitoring to TimescaleDB + Telegraf instead of NR Insight

NewRelic is definitely easier when starting out. Agent is only a lib and doesn't require a daemon

457k views457k
Comments

Detailed Comparison

Airbrake
Airbrake
Datadog
Datadog

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.

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!

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
14-day Free Trial for an unlimited number of hosts;200+ turn-key integrations for data aggregation;Clean graphs of StatsD and other integrations;Slice and dice graphs and alerts by tags, roles, and more;Easy-to-use search for hosts, metrics, and tags;Alert notifications via e-mail and PagerDuty;Receive alerts on any metric, for a single host or an entire cluster;Full API access in more than 15 languages;Overlay metrics and events across disparate sources;Out-of-the-box and customizable monitoring dashboards;Easy way to compute rates, ratios, averages, or integrals;Sampling intervals of 10 seconds;Mute all alerts with 1 click during upgrades and maintenance;Tools for team collaboration
Statistics
Stacks
299
Stacks
9.8K
Followers
298
Followers
8.2K
Votes
128
Votes
861
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
Pros
  • 140
    Monitoring for many apps (databases, web servers, etc)
  • 107
    Easy setup
  • 87
    Powerful ui
  • 84
    Powerful integrations
  • 70
    Great value
Cons
  • 20
    Expensive
  • 4
    No errors exception tracking
  • 2
    External Network Goes Down You Wont Be Logging
  • 1
    Complicated
Integrations
GitHub
GitHub
ExpressJS
ExpressJS
Chef
Chef
Slack
Slack
PHP
PHP
JavaScript
JavaScript
Django
Django
Zapier
Zapier
Heroku
Heroku
Python
Python
NGINX
NGINX
Google App Engine
Google App Engine
Apache HTTP Server
Apache HTTP Server
Java
Java
Docker
Docker
Pingdom
Pingdom
MySQL
MySQL
Ruby
Ruby
Python
Python
Memcached
Memcached

What are some alternatives to Airbrake, Datadog?

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.

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.

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.

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.

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