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Machine Learning · head to head

Azure Machine Learning vs Dynatrace

Azure Machine Learning logo

Azure Machine Learning

Machine Learning

Enterprise-grade machine learning service

From
Free
Rated
-
Full reviewWebsite
Dynatrace logo

Dynatrace

Logging

Application Performance Management and Observability

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Azure Machine Learning requires knowledge of Azure ecosystem and integration with other Azure services; Dynatrace pricing is commitment based: rates require an annual platform level commitment rather than month to month purchase
  • They diverge on capability: Azure Machine Learning covers Automated ML, Dynatrace covers AI-powered analytics.

Where they differ

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

Attributes where Azure Machine Learning and Dynatrace differ
AttributeAzure Machine LearningDynatrace
Pricing modelusage-basedsubscription
PlatformsAzure CloudWeb, Api
CategoryMachine LearningLogging
Founded19752005

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 Dynatrace

  • AI-powered analytics
  • APM
  • Infrastructure monitoring
  • Log analysis
  • API
  • Webhooks
  • REST
  • Api support

Both cover

  • Web support

What people use each for

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

Azure Machine Learning

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

Dynatrace

  • Full stack application performance monitoring with automatic dependency discoverynot Azure Machine Learning
  • Kubernetes and container platform observability priced per podnot Azure Machine Learning
  • Log ingest, processing and query analyticsnot Azure Machine Learning
  • Real user monitoring and session replay for web applicationsnot 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

Dynatrace

  • Pricing is commitment based: rates require an annual platform level commitment rather than month to month purchase
  • Full-Stack Monitoring is priced at $58 per month per 8 GiB of host memory, so a 64 GiB host counts as eight units
  • Infrastructure Monitoring at $29 per host per month excludes code level tracing, which requires Full-Stack
  • Session Replay doubles Real User Monitoring cost from $2.25 to $4.50 per 1,000 sessions
  • Runtime Vulnerability Analytics and Runtime Application Protection are each charged separately at $13 per month per 8 GiB host on top of monitoring

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

Dynatrace

Free
  • FreeFree
    • AI-powered analytics
    • APM
    • Infrastructure monitoring

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 Dynatrace if

  • You need ai-powered analytics.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want apm.
Dynatrace review

Questions people ask

Is Azure Machine Learning or Dynatrace better?
Neither clearly leads. Azure Machine Learning starts at Free and Dynatrace at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Azure Machine Learning or Dynatrace?
Azure Machine Learning starts at Free and Dynatrace at Free.
Does Azure Machine Learning or Dynatrace run on more platforms?
Azure Machine Learning runs on Azure Cloud. Dynatrace runs on Web, 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 Dynatrace is typically brought in for.
What can Azure Machine Learning do that Dynatrace cannot?
Azure Machine Learning covers Automated ML, Designer (drag-and-drop), Notebooks, MLOps. Dynatrace covers AI-powered analytics, APM, Infrastructure monitoring, Log analysis. Both handle Web support.

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
Dynatrace: What is the pricing model for Dynatrace monitoring?

Dynatrace uses commitment-based platform subscription pricing with a minimum annual commitment at the platform level. You pay no per-capability or per-user fees. All capabilities are included day one and draw from your commitment at published rates.

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
Dynatrace: Is there an overage charge if I exceed my commitment?

No, there are no overage penalties. Excess usage continues at the same per-unit rates published on the rate card. The more you commit upfront, the deeper your discount.

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
Dynatrace: What is the cost for monitoring application infrastructure?

Application monitoring costs $7/month per host ($0.01/hour) for Foundation & Discovery, $29/month per host for Infrastructure Monitoring, or $58/month per 8 GiB of host memory for Full-Stack 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
Dynatrace: How much does log ingestion and querying cost?

Log Analytics pricing is $0.20/GiB for ingestion, then either $0.0007/GiB-day for retention with bundled queries (10-35 days retention included), or pay-per-query at $0.0007/GiB-day retention plus $0.0035 per GiB scanned.

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
Dynatrace: Is there a free trial available?

Yes, Dynatrace offers a 15-day free trial plus a sandbox environment for hands-on exploration at no cost.

Source
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