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Machine Learning · head to head

Azure Machine Learning vs Checkly

Azure Machine Learning logo

Azure Machine Learning

Machine Learning

Enterprise-grade machine learning service

From
Free
Rated
-
Checkly logo

Checkly

Logging

Active reliability platform combining uptime monitoring, API testing, and incident response

From
Free
Rated
-

The short version

  • Each has a real cost: Azure Machine Learning requires knowledge of Azure ecosystem and integration with other Azure services; Checkly free tier has limited check allocations per month
  • They diverge on capability: Azure Machine Learning covers Automated ML, Checkly covers Uptime monitoring.

Where they differ

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

Attributes where Azure Machine Learning and Checkly differ
AttributeAzure Machine LearningCheckly
Pricing modelusage-basedsubscription
PlatformsAzure CloudWeb, CLI, API
CategoryMachine LearningLogging
Founded1975Unknown

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 Azure Machine Learning

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

Only in Checkly

  • Uptime monitoring
  • Synthetic browser testing
  • API monitoring
  • Heartbeat monitoring
  • Monitoring-as-Code
  • Status pages
  • Root cause analysis
  • Global locations

What people use each for

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

Azure Machine Learning

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

Checkly

  • Monitor API endpoints with custom assertionsnot Azure Machine Learning
  • Test user journeys with browser automationnot Azure Machine Learning
  • Detect performance degradation across regionsnot Azure Machine Learning
  • Verify DNS and TCP connectivitynot Azure Machine Learning
  • Ensure cron jobs and background tasks completenot Azure Machine Learning

Where each one falls short

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

Azure Machine Learning

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

Checkly

  • Free tier has limited check allocations per month
  • Overage charges can add up with high-volume workloads
  • Status pages require separate paid tier
  • Root cause analysis is separate billing component

Pricing, plan by plan

Azure Machine Learning

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

Checkly

Free
  • HobbyFree
    • 10 uptime monitors
    • 1,000 browser checks monthly
    • 10,000 API checks monthly
  • Team$64/month
    • 75 uptime monitors
    • 12,000 browser checks monthly
    • 100,000 API checks monthly
  • Enterprise$undefined/custom
    • Custom monitor quantities
    • All 22 global locations
    • 1-second check frequency

Which should you pick?

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).

Choose Checkly if

  • You need uptime monitoring.
  • You want to start without paying.
  • You work on Web, CLI, API.
  • You also want synthetic browser testing.

Questions people ask

Is Azure Machine Learning or Checkly better?
Neither clearly leads. Azure Machine Learning starts at Free and Checkly at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Azure Machine Learning or Checkly?
Azure Machine Learning starts at Free and Checkly at Free.
Does Azure Machine Learning or Checkly run on more platforms?
Azure Machine Learning runs on Azure Cloud. Checkly runs on Web, CLI, API.
Can I use Azure Machine Learning for free?
Both have a free tier, so you can try either at no cost before committing.
What is Azure Machine Learning best used for?
Azure Machine Learning is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Checkly is typically brought in for.
What can Azure Machine Learning do that Checkly cannot?
Azure Machine Learning covers Automated ML, Designer (drag-and-drop), Notebooks, MLOps. Checkly covers Uptime monitoring, Synthetic browser testing, API monitoring, Heartbeat monitoring.

Answered from the vendors’ own pages

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
Checkly: What is included in the free Checkly plan?

The free Hobby plan includes 10 uptime monitors, 1,000 monthly browser checks, 10,000 monthly API checks, 6 monitoring locations, and 2-minute minimum check frequency with email, Slack, and webhook alerts.

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
Checkly: Can I write monitoring checks in my preferred language?

Yes, Checkly uses TypeScript/JavaScript for monitoring-as-code, integrated with Playwright for browser testing and supporting REST API testing.

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
Checkly: How much does status page add to my bill?

Status pages cost between $0-$30/month depending on your plan tier, billed separately from core monitoring.

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
Checkly: What is the minimum check frequency?

The Hobby and Starter plans support 2-minute and 1-minute minimums respectively. The Team plan supports 30-second intervals, while Enterprise offers 1-second minimum frequency.

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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