Logging · head to head
AppDynamics vs Azure Machine Learning

Azure Machine Learning
Machine Learning
Enterprise-grade machine learning service
- From
- Free
- Rated
- -
The short version
- Only Azure Machine Learning has a free tier, so it costs nothing to try first.
- Each has a real cost: AppDynamics appdynamics.com/pricing returns a 301 redirect to Splunk's observability pricing page; the product is now sold as Splunk AppDynamics; Azure Machine Learning requires knowledge of Azure ecosystem and integration with other Azure services
- They diverge on capability: AppDynamics covers Application performance monitoring, Azure Machine Learning covers Automated ML.
Where they differ
Only the attributes on which AppDynamics and Azure Machine Learning actually diverge.
| Attribute | AppDynamics | Azure Machine Learning |
|---|---|---|
| Starting price | $6/month | Free |
| Pricing model | subscription | usage-based |
| Free tier | No | Yes |
| Platforms | Web, Api | Azure Cloud |
| Category | Logging | Machine Learning |
| Founded | 2008 | 1975 |
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 AppDynamics
- Application performance monitoring
- Distributed tracing
- Real-time analytics
- Alert management
- API
- Webhooks
- REST
- Api support
Only in Azure Machine Learning
- Automated ML
- Designer (drag-and-drop)
- Notebooks
- MLOps
- Model registry
- Azure Blob Storage
- Azure DevOps
- Power BI
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
AppDynamics
- Application performance monitoring for Java, .NET and other enterprise application stacksnot Azure Machine Learning
- Business transaction tracing across distributed application tiersnot Azure Machine Learning
- Infrastructure monitoring priced per vCPUnot Azure Machine Learning
Azure Machine Learning
- Machine learningnot AppDynamics
- Data analysisnot AppDynamics
- Model trainingnot AppDynamics
- Predictive analyticsnot AppDynamics
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
AppDynamics
- appdynamics.com/pricing returns a 301 redirect to Splunk's observability pricing page; the product is now sold as Splunk AppDynamics
- Infrastructure Edition starts at $6 per vCPU per month billed annually, so cost scales with core count rather than host count
- Premium Edition starts at $33 per host per month and Enterprise Edition at $50 per host per month, both billed annually
- The published figures are starting prices only, with volume pricing requiring a sales quote
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
AppDynamics
$6/month- Infrastructure Edition$6/month
- Infrastructure monitoring
- Premium Edition$33/month
- Infrastructure monitoring
- Applications
- APM
- Enterprise Edition$50/month
- Premium Edition features
- Business Analytics
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 AppDynamics if
- You need application performance monitoring.
- You work on Web, Api.
- You also want distributed tracing.
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 AppDynamics or Azure Machine Learning better?
- Neither clearly leads. AppDynamics starts at $6/month and Azure Machine Learning at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, AppDynamics or Azure Machine Learning?
- Azure Machine Learning has a free tier; the other does not. Paid plans start at $6/month for AppDynamics and Free for Azure Machine Learning.
- Does AppDynamics or Azure Machine Learning run on more platforms?
- AppDynamics runs on Web, Api. Azure Machine Learning runs on Azure Cloud.
- Can I use Azure Machine Learning for free?
- Yes. Azure Machine Learning has a free tier, so you can try it without paying. AppDynamics starts at $6/month.
- What is AppDynamics best used for?
- AppDynamics is most often used for application performance monitoring for java, .net and other enterprise application stacks, business transaction tracing across distributed application tiers, infrastructure monitoring priced per vcpu. Of those, application performance monitoring for java, .net and other enterprise application stacks and business transaction tracing across distributed application tiers are not what Azure Machine Learning is typically brought in for.
- What can AppDynamics do that Azure Machine Learning cannot?
- AppDynamics covers Application performance monitoring, Distributed tracing, Real-time analytics, Alert management. Azure Machine Learning covers Automated ML, Designer (drag-and-drop), Notebooks, MLOps. Both handle Web support.
Answered from the vendors’ own pages
AppDynamics: How is AppDynamics priced?
AppDynamics uses a subscription model based on vCPU usage, billed annually. Infrastructure Edition starts at $6 per vCPU/month, Premium Edition at $33 per vCPU/month, and Enterprise Edition at $50 per vCPU/month. Additional capabilities like Secure Application, Real User Monitoring, and Synthetics have separate per-unit pricing.
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.
SourceAppDynamics: What add-on costs does AppDynamics charge?
Secure Application costs $13.75 per CPU core per month (billed annually). Real User Monitoring is $0.06 per 1000 tokens per month. Browser Synthetics costs $12 per test location per month. SAP Solutions monitoring is $95 per CPU core per month.
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.
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 AppDynamics
More on Azure Machine Learning
Other head to heads
- AppDynamics vs Elastic Stack
- AppDynamics vs New Relic
- AppDynamics vs Datadog Logs
- AppDynamics vs Coralogix
- AppDynamics vs Grafana Loki
- AppDynamics vs incident.io
- AppDynamics vs Cronitor
- AppDynamics vs FireHydrant
- AppDynamics vs Healthchecks
- AppDynamics vs Openstatus
- AppDynamics vs Rootly
- AppDynamics vs Checkly
- AppDynamics vs CloudWatch
- AppDynamics vs Dynatrace
- AppDynamics vs InfluxDB
- AppDynamics vs Airbrake
- AppDynamics vs Axiom
- AppDynamics vs Azure Monitor
- AppDynamics vs AWS SageMaker
- AppDynamics vs Google Vertex AI
- AppDynamics vs DataRobot
- AppDynamics vs MLflow
- AppDynamics vs Snowflake
- AppDynamics vs TensorFlow
- AppDynamics vs Comet ML
- AppDynamics vs Jupyter
- AppDynamics vs LangChain
- AppDynamics vs Pinecone
- AppDynamics vs Python
- AppDynamics vs PyTorch
- AppDynamics vs scikit-learn
- AppDynamics vs Apache Spark MLlib
- AppDynamics vs Weaviate
- AppDynamics vs Weights & Biases
- AppDynamics vs Alteryx
- AppDynamics vs Anaconda
- Azure Machine Learning vs Elastic Stack
- Azure Machine Learning vs New Relic
- Azure Machine Learning vs Datadog Logs
- Azure Machine Learning vs Coralogix
- Azure Machine Learning vs Grafana Loki
- Azure Machine Learning vs incident.io
- Azure Machine Learning vs Cronitor
- Azure Machine Learning vs FireHydrant
- Azure Machine Learning vs Healthchecks
- Azure Machine Learning vs Openstatus
- Azure Machine Learning vs Rootly
- Azure Machine Learning vs Checkly
- Azure Machine Learning vs CloudWatch
- Azure Machine Learning vs Dynatrace
- Azure Machine Learning vs InfluxDB
- Azure Machine Learning vs Airbrake
- Azure Machine Learning vs Axiom
- Azure Machine Learning vs Azure Monitor
- Azure Machine Learning vs AWS SageMaker
- Azure Machine Learning vs Google Vertex AI
- Azure Machine Learning vs DataRobot
- Azure Machine Learning vs MLflow
- Azure Machine Learning vs Snowflake
- Azure Machine Learning vs TensorFlow
- Azure Machine Learning vs Comet ML
- Azure Machine Learning vs Jupyter
- Azure Machine Learning vs LangChain
- Azure Machine Learning vs Pinecone
- Azure Machine Learning vs Python
- Azure Machine Learning vs PyTorch
- Azure Machine Learning vs scikit-learn
- Azure Machine Learning vs Apache Spark MLlib
- Azure Machine Learning vs Weaviate
- Azure Machine Learning vs Weights & Biases
- Azure Machine Learning vs Alteryx
- Azure Machine Learning vs Anaconda

