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Machine Learning · head to head

Azure Machine Learning vs Langfuse

Azure Machine Learning logo

Azure Machine Learning

Machine Learning

Enterprise-grade machine learning service

From
Free
Rated
-
Full reviewWebsite
Langfuse logo

Langfuse

Software Development

Simple pricing for projects of all sizes

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; Langfuse free Hobby plan limited to 2 users and 30-day data retention

Where they differ

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

Attributes where Azure Machine Learning and Langfuse differ
AttributeAzure Machine LearningLangfuse
Pricing modelusage-basedfreemium
PlatformsAzure CloudWeb
CategoryMachine LearningSoftware Development
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 Langfuse

Nothing recorded that Azure Machine Learning does not also cover.

What people use each for

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

Azure Machine Learning

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

Langfuse

No use cases recorded yet. See the Langfuse review.

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

Langfuse

  • Free Hobby plan limited to 2 users and 30-day data retention
  • Overage pricing applies beyond included units; graduated rates from $8.00 per 100k units down to $6.00 per 100k units at 50M+ volume

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

Langfuse

Free
  • HobbyFree
    • 50k units/month
    • 30-day data retention
    • 2 users maximum
  • Core$29/month
    • 100k units/month
    • 90-day data retention
    • Unlimited users
  • Pro$199/month
    • 100k units/month
    • 3-year data retention
    • SOC2 & ISO27001 compliance
  • Enterprise$2499/month
    • Custom rate limits
    • Dedicated support engineer
    • SCIM API & audit logs

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 Langfuse if

  • You want to start without paying.
Langfuse review

Questions people ask

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

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
Langfuse: What does Langfuse cost?

Langfuse starts at $29/month for the Core plan (100k units/month). Pro costs $199/month with 3-year data retention. Enterprise costs $2499/month for custom rate limits and dedicated support.

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
Langfuse: Does Langfuse have a free plan?

Yes, the Hobby plan is free with 50k units/month, 30-day data retention, and support for up to 2 users.

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
Langfuse: What happens if I exceed my unit limits on Langfuse?

Overage pricing applies with graduated rates: $8.00 per 100k units for 100k-1M units, $7.00 per 100k units for 1M-10M units, $6.50 per 100k units for 10M-50M units, and $6.00 per 100k units for 50M+ units.

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
Langfuse: Are there discounts available on Langfuse?

Early-stage startups receive 50% off the first year. Research and student accounts qualify for up to 100% off. Non-profits receive $199 monthly credits.

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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