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Machine Learning · head to head

Azure Machine Learning vs New Relic

Azure Machine Learning logo

Azure Machine Learning

Machine Learning

Enterprise-grade machine learning service

From
Free
Rated
-
Full reviewWebsite
New Relic logo

New Relic

Logging

Observability made simple

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; New Relic data ingest costs can be high for large-scale deployments with high logging volume, making budgeting difficult
  • They diverge on capability: Azure Machine Learning covers Automated ML, New Relic covers APM.

Where they differ

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

Attributes where Azure Machine Learning and New Relic differ
AttributeAzure Machine LearningNew Relic
Pricing modelusage-basedUnknown
PlatformsAzure CloudWeb, Api, Mobile
CategoryMachine LearningLogging
Founded19752008

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 New Relic

  • APM
  • Infrastructure Monitoring
  • Log Management
  • Browser Monitoring
  • Synthetic Monitoring
  • Mobile Monitoring
  • Kubernetes Monitoring
  • AI Ops

What people use each for

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

Azure Machine Learning

  • Machine learningnot New Relic
  • Data analysisnot New Relic
  • Model trainingnot New Relic
  • Predictive analyticsnot New Relic

New Relic

  • Application monitoringnot Azure Machine Learning
  • Infrastructure monitoringnot Azure Machine Learning
  • Error trackingnot Azure Machine Learning
  • Performance optimizationnot 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

New Relic

  • Data ingest costs can be high for large-scale deployments with high logging volume, making budgeting difficult
  • Core user licensing model adds complexity to pricing with distinction between full platform users and basic users
  • Default logs obfuscation may miss some sensitive patterns requiring custom configuration
  • Retention limits even on paid tiers require additional storage for long-term compliance requirements

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

New Relic

Free

No published plan breakdown. See the New Relic review.

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 New Relic if

  • You need apm.
  • You want to start without paying.
  • You work on Web, Api, Mobile.
  • You also want infrastructure monitoring.
New Relic review

Questions people ask

Is Azure Machine Learning or New Relic better?
Neither clearly leads. Azure Machine Learning starts at Free and New Relic at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Azure Machine Learning or New Relic?
Azure Machine Learning starts at Free and New Relic at Free.
Does Azure Machine Learning or New Relic run on more platforms?
Azure Machine Learning runs on Azure Cloud. New Relic runs on Web, Api, Mobile.
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 New Relic is typically brought in for.
What can Azure Machine Learning do that New Relic cannot?
Azure Machine Learning covers Automated ML, Designer (drag-and-drop), Notebooks, MLOps. New Relic covers APM, Infrastructure Monitoring, Log Management, Browser 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
New Relic: Does New Relic offer a free tier?

Yes, New Relic's free tier is perpetual with no credit card required. It includes 100 GB of free data ingest monthly, one Full Platform User with access to all 50+ capabilities, and unlimited Basic Users for querying and dashboard creation.

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
New Relic: How much does New Relic cost for paid plans?

Paid plans start at $49 per month per core user. New Relic uses consumption-based pricing where you pay only for what you use. Annual commitment options are available with volume discounts for larger teams.

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
New Relic: What data retention is included in New Relic's free tier?

The free tier includes a minimum of 8 days data retention for troubleshooting. Paid plans offer extended retention periods and customizable data retention policies.

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
New Relic: How many integrations does New Relic support?

New Relic provides access to 780+ integrations and unlimited hosts at no additional cost. These include monitoring integrations for various cloud services, databases, and applications.

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
New Relic: Can I use New Relic to monitor multiple cloud providers?

Yes, New Relic is cloud-agnostic and supports monitoring across AWS, Google Cloud, Azure, and on-premises infrastructure in a single platform.

Source
New Relic: What is New Relic's ownership structure today?

New Relic was acquired by TPG and Francisco Partners on July 31, 2023, for $6.5 billion and transitioned from a publicly traded company to a private company in November 2023.

Source
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