Softwr

Machine Learning · head to head

Azure Machine Learning vs Rootly

Azure Machine Learning logo

Azure Machine Learning

Machine Learning

Enterprise-grade machine learning service

From
Free
Rated
-
Full reviewWebsite
Rootly logo

Rootly

Logging

AI-native incident management with automation, on-call, and root cause analysis

From
$20/user-month
Rated
-
Full reviewWebsite

The short version

  • Only Azure Machine Learning has a free tier, so it costs nothing to try first.
  • Each has a real cost: Azure Machine Learning requires knowledge of Azure ecosystem and integration with other Azure services; Rootly pricing higher than some competitors for basic features
  • They diverge on capability: Azure Machine Learning covers Automated ML, Rootly covers AI SRE automation.

Where they differ

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

Attributes where Azure Machine Learning and Rootly differ
AttributeAzure Machine LearningRootly
Starting priceFree$20/user-month
Pricing modelusage-basedsubscription
Free tierYesNo
PlatformsAzure CloudWeb, Mobile, Slack, Microsoft Teams
CategoryMachine LearningLogging
Founded19752020

Identical on both: 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 Rootly

  • AI SRE automation
  • Alert routing
  • On-call management
  • Incident response
  • Call routing
  • AI meeting bot
  • Status pages

What people use each for

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

Azure Machine Learning

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

Rootly

  • Automate on-call and incident response workflowsnot Azure Machine Learning
  • Run root cause analysis with AI assistancenot Azure Machine Learning
  • Track and improve Mean Time to Mitigation (MTTR)not Azure Machine Learning
  • Coordinate response across distributed teamsnot Azure Machine Learning
  • Learn from post-incident retrospectivesnot 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

Rootly

  • Pricing higher than some competitors for basic features
  • AI SRE features require separate contact-sales engagement
  • Learning curve for advanced automation features
  • Per-user pricing increases costs as team grows

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

Rootly

$20/user-month
  • Incident Response Essentials$20/user-month
    • Response with Slack integration
    • @Rootly AI Chat
    • AI Similar Incidents detection
  • Incident Response Enterprise$undefined/custom
    • All Essentials features
    • Custom forms and incident types
    • Private incidents
  • On-Call Essentials$20/user-month
    • Alert grouping and routing
    • Live call routing (1 phone number)
    • Schedules and escalation policies
  • On-Call Enterprise$undefined/custom
    • All Essentials features
    • 5 phone numbers for call routing
    • Unlimited schedules

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).
Azure Machine Learning review

Choose Rootly if

  • You need ai sre automation.
  • You work on Web, Mobile, Slack, Microsoft Teams.
  • You also want alert routing.
Rootly review

Questions people ask

Is Azure Machine Learning or Rootly better?
Neither clearly leads. Azure Machine Learning starts at Free and Rootly at $20/user-month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Azure Machine Learning or Rootly?
Azure Machine Learning has a free tier; the other does not. Paid plans start at Free for Azure Machine Learning and $20/user-month for Rootly.
Does Azure Machine Learning or Rootly run on more platforms?
Azure Machine Learning runs on Azure Cloud. Rootly runs on Web, Mobile, Slack, Microsoft Teams.
Can I use Azure Machine Learning for free?
Yes. Azure Machine Learning has a free tier, so you can try it without paying. Rootly starts at $20/user-month.
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 Rootly is typically brought in for.
What can Azure Machine Learning do that Rootly cannot?
Azure Machine Learning covers Automated ML, Designer (drag-and-drop), Notebooks, MLOps. Rootly covers AI SRE automation, Alert routing, On-call management, Incident response.

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
Rootly: How much does Rootly cost?

Rootly charges $20/user/month for both Incident Response and On-Call Essentials plans. Enterprise plans require contacting sales. Startups under 100 employees with less than $50M raised get up to 50% discount.

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
Rootly: What is Rootly AI SRE?

AI SRE is an advanced feature that provides automated root cause analysis, alert correlation with system changes, impact analysis, and remediation suggestions. Pricing requires contact with sales.

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
Rootly: Does Rootly integrate with Slack?

Yes, Rootly natively integrates with Slack for incident response workflows, allowing teams to manage incidents directly in Slack.

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
Rootly: Are there discounts for small companies?

Yes, startups under 100 employees or less than 25 employees can get special pricing up to 50% discount. Contact Rootly sales for details.

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
Share

Related pages

More on Azure Machine Learning

More on Rootly

Keep looking

Other head to heads