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Airbrake vs Azure Machine Learning

Airbrake logo

Airbrake

Logging

Error Tracking and Performance Monitoring

From
Free
Rated
-
Full reviewWebsite
Azure Machine Learning logo

Azure Machine Learning

Machine Learning

Enterprise-grade machine learning service

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Airbrake data retention is 30 days on every plan, including the $799 a month Business tier; Azure Machine Learning requires knowledge of Azure ecosystem and integration with other Azure services
  • They diverge on capability: Airbrake covers Error tracking, Azure Machine Learning covers Automated ML.

Where they differ

Only the attributes on which Airbrake and Azure Machine Learning actually diverge.

Attributes where Airbrake and Azure Machine Learning differ
AttributeAirbrakeAzure Machine Learning
Pricing modelsubscriptionusage-based
PlatformsWeb, ApiAzure Cloud
CategoryLoggingMachine Learning
Founded20081975

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Airbrake

  • Error tracking
  • Performance monitoring
  • Deploy tracking
  • Custom notifications
  • API
  • Webhooks
  • REST
  • Api support

Only in Azure Machine Learning

  • Automated ML
  • Designer (drag-and-drop)
  • Notebooks
  • MLOps
  • Model registry
  • Azure Blob Storage
  • Azure DevOps
  • Power BI

Both cover

  • Web support

What people use each for

The jobs each tool is most often brought in to do.

Airbrake

  • Error and exception monitoring for web applicationsnot Azure Machine Learning
  • Performance monitoring alongside error trackingnot Azure Machine Learning
  • Alerting a team when a deploy introduces a spike in errorsnot Azure Machine Learning
  • Tracking errors across multiple projects in one accountnot Azure Machine Learning

Azure Machine Learning

  • Machine learningnot Airbrake
  • Data analysisnot Airbrake
  • Model trainingnot Airbrake
  • Predictive analyticsnot Airbrake

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Airbrake

  • Data retention is 30 days on every plan, including the $799 a month Business tier
  • The entry plan at $19 a month covers 25,000 errors and 7,500 events
  • Errors beyond the plan quota are billed on demand
  • Audit logs and spike forgiveness require the Pro tier
  • The lowest tier is limited to 1 user and 1 team

Azure Machine Learning

  • Requires knowledge of Azure ecosystem and integration with other Azure services
  • Compute resources for training and inference generate separate charges

Pricing, plan by plan

Airbrake

Free
  • Tier 1 (Dev + errors)$19/month
    • 25,000 errors per month
    • 1 user
    • 1 team
  • Tier 2 (Basic + errors)$38/month
    • 100,000 errors per month
    • Unlimited users
    • 3 teams
  • Pro$76/month
    • Unlimited users
    • Unlimited teams
    • Unlimited projects
  • Tier 5 (Growth)$299/month
    • 1 million errors per month

Azure Machine Learning

Free
  • Free TierFree
    • Limited compute
    • Basic features
  • Pay-as-you-go$0.05/hour
    • Full platform
    • All compute options
    • Enterprise features

Which should you pick?

Choose Airbrake if

  • You need error tracking.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want performance monitoring.
Airbrake review

Choose Azure Machine Learning if

  • You need automated ml.
  • You want to start without paying.
  • You work on Azure Cloud.
  • You also want designer (drag-and-drop).
Azure Machine Learning review

Questions people ask

Is Airbrake or Azure Machine Learning better?
Neither clearly leads. Airbrake starts at Free and Azure Machine Learning at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Airbrake or Azure Machine Learning?
Airbrake starts at Free and Azure Machine Learning at Free.
Does Airbrake or Azure Machine Learning run on more platforms?
Airbrake runs on Web, Api. Azure Machine Learning runs on Azure Cloud.
Can I use Airbrake for free?
Both have a free tier, so you can try either at no cost before committing.
What is Airbrake best used for?
Airbrake is most often used for error and exception monitoring for web applications, performance monitoring alongside error tracking, alerting a team when a deploy introduces a spike in errors, tracking errors across multiple projects in one account. Of those, error and exception monitoring for web applications and performance monitoring alongside error tracking are not what Azure Machine Learning is typically brought in for.
What can Airbrake do that Azure Machine Learning cannot?
Airbrake covers Error tracking, Performance monitoring, Deploy tracking, Custom notifications. Azure Machine Learning covers Automated ML, Designer (drag-and-drop), Notebooks, MLOps. Both handle Web support.

Answered from the vendors’ own pages

Airbrake: What is the lowest-cost Airbrake plan and what does it include?

Tier 1 costs $19 per month and includes 25,000 errors per month, 1 user seat, 1 team, and unlimited projects. This plan targets individual developers. A 10% discount applies when paying annually ($17.10 per month).

Source
Azure Machine Learning: Does Azure Machine Learning have any platform licensing fees?

No, Azure Machine Learning carries no extra cost. You only pay for the underlying compute resources utilized during model training or inference.

Source
Airbrake: Which Airbrake plan is marked as the best value?

The Pro plan at $76 per month is marked as Best Value. It includes unlimited users, unlimited teams, unlimited projects, audit logs, and spike forgiveness. Annual billing provides a 10% discount ($68 per month).

Source
Azure Machine Learning: What AutoML capabilities does Azure Machine Learning provide?

Azure Machine Learning supports automated model creation for classification, regression, vision, and natural language processing tasks.

Source
Airbrake: How many errors per month does each Airbrake tier allow?

Tier 1 allows 25,000 errors per month at $19/month. Tier 2 allows 100,000 errors at $38/month. Tier 4 allows 300,000 errors at $129/month. Tier 5 allows 1 million errors at $299/month. Tier 6 allows 5 million errors at $799/month.

Source
Azure Machine Learning: Does Azure ML support language model fine-tuning?

Yes, Azure Machine Learning supports fine-tuning of foundation models from providers including OpenAI, Meta, Hugging Face, and Cohere.

Source
Azure Machine Learning: What MLOps features are included?

Azure ML includes end-to-end pipeline automation with CI/CD capabilities, managed endpoints for model deployment, and monitoring tools.

Source
Azure Machine Learning: Can I access foundation models from multiple vendors?

Yes, Azure Machine Learning provides access to a model catalog with foundation models from Microsoft, OpenAI, Hugging Face, Meta, and Cohere.

Source
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