Software · head to head
Amplitude vs Azure Machine Learning

Amplitude
Software
The digital analytics platform to understand your users
- From
- Free
- Rated
- -
Azure Machine Learning
Software
Enterprise-grade machine learning service
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Amplitude metered on event volume, so instrumenting more of a product raises the bill even if the audience does not grow; Azure Machine Learning requires knowledge of Azure ecosystem and integration with other Azure services
- They diverge on capability: Amplitude covers Event tracking, Azure Machine Learning covers Automated ML.
Where they differ
Only the attributes on which Amplitude and Azure Machine Learning actually diverge.
| Attribute | Amplitude | Azure Machine Learning |
|---|---|---|
| Pricing model | Unknown | usage-based |
| Platforms | Web, Ios, Android, Api | Azure Cloud |
| Founded | 2012 | 1975 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).
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 Amplitude
- Event tracking
- User segmentation
- Funnel analysis
- Retention analysis
- Cohort analysis
- A/B testing
- Revenue analytics
- Predictive analytics
Only in Azure Machine Learning
- Automated ML
- Designer (drag-and-drop)
- Notebooks
- MLOps
- Model registry
- Azure Blob Storage
- Azure DevOps
- Power BI
What people use each for
The jobs each tool is most often brought in to do.
Amplitude
- User behavior analysisnot Azure Machine Learning
- Feature adoption trackingnot Azure Machine Learning
- Conversion rate optimizationnot Azure Machine Learning
- Customer journey mappingnot Azure Machine Learning
- Retention improvementnot Azure Machine Learning
Azure Machine Learning
- Machine learningnot Amplitude
- Data analysisnot Amplitude
- Model trainingnot Amplitude
- Predictive analyticsnot Amplitude
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Amplitude
- Metered on event volume, so instrumenting more of a product raises the bill even if the audience does not grow
- The free plan covers 2M events a month
- The Plus plan scales to 70M events, above which pricing is custom
- Growth and Enterprise pricing is not published
Azure Machine Learning
- Requires knowledge of Azure ecosystem and integration with other Azure services
- Compute resources for training and inference generate separate charges
Pricing, plan by plan
Amplitude
Free- StarterFree
- 2 million events per month
- Plus$49/month
- $0.049 per MTU
- Up to 300k MTUs
- Advanced analytics
- GrowthFree
- Causal insights
- Feature experimentation
- Real-time streaming
- EnterpriseFree
- Cross-product analysis
- Advanced permissions
- Dedicated account manager
Azure Machine Learning
Free- Free TierFree
- Limited compute
- Basic features
- Pay-as-you-go$0.05/hour
- Full platform
- All compute options
- Enterprise features
Which should you pick?
Choose Amplitude if
- You need event tracking.
- You want to start without paying.
- You work on Web, Ios, Android, Api.
- You also want user segmentation.
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).
Questions people ask
- Is Amplitude or Azure Machine Learning better?
- Neither clearly leads. Amplitude starts at Free and Azure Machine Learning at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amplitude or Azure Machine Learning?
- Amplitude starts at Free and Azure Machine Learning at Free.
- Does Amplitude or Azure Machine Learning run on more platforms?
- Amplitude runs on Web, Ios, Android, Api. Azure Machine Learning runs on Azure Cloud.
- Can I use Amplitude for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Amplitude best used for?
- Amplitude is most often used for user behavior analysis, feature adoption tracking, conversion rate optimization, customer journey mapping. Of those, user behavior analysis and feature adoption tracking are not what Azure Machine Learning is typically brought in for.
- What can Amplitude do that Azure Machine Learning cannot?
- Amplitude covers Event tracking, User segmentation, Funnel analysis, Retention analysis. Azure Machine Learning covers Automated ML, Designer (drag-and-drop), Notebooks, MLOps.
Answered from the vendors’ own pages
Amplitude: Does Amplitude have a free plan?
Yes, Amplitude offers a free Starter plan with 2 million events per month and access to the entire platform including analytics, session replay, and experimentation features.
SourceAzure 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.
SourceAmplitude: What is Amplitude's pricing based on?
Amplitude's pricing is based on the number of monthly tracked users (MTUs), data volume, and advanced features selected. The Plus plan starts at $49 per month with a rate of $0.049 per MTU.
SourceAzure 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.
SourceAmplitude: What analytics features does every Amplitude plan include?
Every plan includes access to the full platform: analytics, session replay, feature experimentation, web experimentation, guides and surveys, activation, and AI tools like AI Feedback and AI Assistant.
SourceAzure 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.
SourceAzure 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.
SourceAzure 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.
SourceRelated pages
More on Azure Machine Learning
Keep looking
Other head to heads
- Amplitude vs Asana
- Amplitude vs ClickUp
- Amplitude vs Figma
- Amplitude vs Linear
- Amplitude vs Monday.com
- Amplitude vs Greenhouse
- Amplitude vs Notion
- Amplitude vs Datadog
- Amplitude vs PostHog
- Amplitude vs PyCharm
- Amplitude vs Sketch
- Amplitude vs Docker
- Amplitude vs Netlify
- Amplitude vs Okta
- Amplitude vs Aha!
- Amplitude vs Coda
- Amplitude vs Dashlane
- Amplitude vs GitHub
- Amplitude vs AWS SageMaker
- Amplitude vs Google Vertex AI
- Amplitude vs DataRobot
- Amplitude vs Snowflake
- Amplitude vs TensorFlow
- Amplitude vs Comet ML
- Amplitude vs Keras
- Amplitude vs MLflow
- Amplitude vs Jupyter
- Amplitude vs PyTorch
- Amplitude vs scikit-learn
- Amplitude vs Apache Spark MLlib
- Amplitude vs Weights & Biases
- Amplitude vs Alteryx
- Amplitude vs Anaconda
- Amplitude vs Databricks
- Amplitude vs Dataiku
- Amplitude vs DVC
- Azure Machine Learning vs Asana
- Azure Machine Learning vs ClickUp
- Azure Machine Learning vs Figma
- Azure Machine Learning vs Linear
- Azure Machine Learning vs Monday.com
- Azure Machine Learning vs Greenhouse
- Azure Machine Learning vs Notion
- Azure Machine Learning vs Datadog
- Azure Machine Learning vs PostHog
- Azure Machine Learning vs PyCharm
- Azure Machine Learning vs Sketch
- Azure Machine Learning vs Docker
- Azure Machine Learning vs Netlify
- Azure Machine Learning vs Okta
- Azure Machine Learning vs Aha!
- Azure Machine Learning vs Coda
- Azure Machine Learning vs Dashlane
- Azure Machine Learning vs GitHub
- Azure Machine Learning vs AWS SageMaker
- Azure Machine Learning vs Google Vertex AI
- Azure Machine Learning vs DataRobot
- Azure Machine Learning vs Snowflake
- Azure Machine Learning vs TensorFlow
- Azure Machine Learning vs Comet ML
- Azure Machine Learning vs Keras
- Azure Machine Learning vs MLflow
- Azure Machine Learning vs Jupyter
- Azure Machine Learning vs PyTorch
- Azure Machine Learning vs scikit-learn
- Azure Machine Learning vs Apache Spark MLlib
- Azure Machine Learning vs Weights & Biases
- Azure Machine Learning vs Alteryx
- Azure Machine Learning vs Anaconda
- Azure Machine Learning vs Databricks
- Azure Machine Learning vs Dataiku
- Azure Machine Learning vs DVC
