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Machine Learning · head to head

AWS SageMaker vs Azure Monitor

AWS SageMaker logo

AWS SageMaker

Machine Learning

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Full reviewWebsite
Azure Monitor logo

Azure Monitor

Logging

Azure's Monitoring and Diagnostics Service

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult; Azure Monitor billed per GB ingested across three separate log plans, Auxiliary, Basic and Analytics, so the plan chosen changes the rate as much as the volume does
  • They diverge on capability: AWS SageMaker covers Jupyter notebooks, Azure Monitor covers Log collection.

Where they differ

Only the attributes on which AWS SageMaker and Azure Monitor actually diverge.

Attributes where AWS SageMaker and Azure Monitor differ
AttributeAWS SageMakerAzure Monitor
Pricing modelUnknownusage-based
PlatformsWebWeb, Api
CategoryMachine LearningLogging
Founded20062010

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 AWS SageMaker

  • Jupyter notebooks
  • Built-in algorithms
  • Automatic model tuning
  • One-click deployment
  • Model monitoring
  • S3
  • Lambda
  • Step Functions

Only in Azure Monitor

  • Log collection
  • Metrics collection
  • Alerts and notifications
  • Custom dashboards
  • 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.

AWS SageMaker

  • Machine learningnot Azure Monitor
  • Data analysisnot Azure Monitor
  • Model trainingnot Azure Monitor
  • Predictive analyticsnot Azure Monitor

Azure Monitor

  • Collecting logs and metrics from Azure resourcesnot AWS SageMaker
  • Alerting on metric thresholds and log queriesnot AWS SageMaker
  • Application performance monitoring through Application Insightsnot AWS SageMaker
  • Long-term log retention for compliancenot AWS SageMaker
  • Querying operational data with KQLnot AWS SageMaker

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

AWS SageMaker

  • Vendor lock-in to AWS ecosystem makes migration to other platforms difficult
  • Opaque pricing can lead to unexpected expenses like forgotten EBS volume charges
  • Does not include native job scheduling, requiring Lambda or EventBridge integration

Azure Monitor

  • Billed per GB ingested across three separate log plans, Auxiliary, Basic and Analytics, so the plan chosen changes the rate as much as the volume does
  • Only the first 5 GB a month of Analytics logs is free per billing account
  • Retention beyond the base period is charged per GB per month, up to 2 years interactive and 12 years long term
  • Log queries and search jobs are billed per GB scanned, so investigating an incident costs money
  • Alert rules are billed per time series for metrics and by execution frequency for logs
  • The pricing page shows placeholders rather than rates until a region and currency are chosen

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

Azure Monitor

Free
  • FreeFree
    • Log collection
    • Metrics collection
    • Alerts and notifications

Which should you pick?

Choose AWS SageMaker if

  • You need jupyter notebooks.
  • You want to start without paying.
  • You also want built-in algorithms.
AWS SageMaker review

Choose Azure Monitor if

  • You need log collection.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want metrics collection.
Azure Monitor review

Questions people ask

Is AWS SageMaker or Azure Monitor better?
Neither clearly leads. AWS SageMaker starts at Free and Azure Monitor at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or Azure Monitor?
AWS SageMaker starts at Free and Azure Monitor at Free.
Does AWS SageMaker or Azure Monitor run on more platforms?
AWS SageMaker runs on Web. Azure Monitor runs on Web, Api.
Can I use AWS SageMaker for free?
Both have a free tier, so you can try either at no cost before committing.
What is AWS SageMaker best used for?
AWS SageMaker is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Azure Monitor is typically brought in for.
What can AWS SageMaker do that Azure Monitor cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. Azure Monitor covers Log collection, Metrics collection, Alerts and notifications, Custom dashboards. Both handle Web support.

Answered from the vendors’ own pages

AWS SageMaker: What is AWS SageMaker used for?

AWS SageMaker is a machine learning service for building, training, and deploying ML models at scale. It provides tools for data preparation, model training, inference endpoints, and performance optimization.

Source
Azure Monitor: How does Azure Monitor billing work?

Billing is based on data volume ingested into Azure Monitor. Additional charges apply separately for alerts, notifications, web tests, and data export. Activity log and platform metrics are automatically collected with an Azure subscription.

Source
AWS SageMaker: How is AWS SageMaker priced?

SageMaker uses pay-as-you-go pricing with no upfront costs or long-term commitments. Pricing starts at $0.04 per hour for basic notebook instances and scales based on instance type. ML Savings Plans offer up to 64% off with hourly spend commitments.

Source
Azure Monitor: What savings are available with Azure Monitor?

Capacity reservations offer up to 36% savings compared to standard pay-as-you-go pricing when you commit to reserved capacity upfront.

Source
AWS SageMaker: Does AWS SageMaker have a free tier?

Yes, the free tier includes 250 hours of notebook usage, 50 hours of training, and 125 hours of hosting on ml.t3.medium instances during the first two months.

Source
Azure Monitor: Is there a free tier for Azure Monitor?

No dedicated free tier exists. Activity log and platform metrics are automatically collected with an Azure subscription, but detailed monitoring requires additional configuration and associated costs.

Source
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