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Software · head to head

AWS SageMaker vs Datadog

AWS SageMaker logo

AWS SageMaker

Software

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Full reviewWebsite
Datadog logo

Datadog

Software

Modern monitoring & security

From
$15/month
Rated
-
Full reviewWebsite

The short version

  • Only AWS SageMaker has a free tier, so it costs nothing to try first.
  • Each has a real cost: AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult; Datadog consumption-based pricing model makes costs hard to predict and can scale quickly
  • They diverge on capability: AWS SageMaker covers Jupyter notebooks, Datadog covers Infrastructure monitoring.

Where they differ

Only the attributes on which AWS SageMaker and Datadog actually diverge.

Attributes where AWS SageMaker and Datadog differ
AttributeAWS SageMakerDatadog
Starting priceFree$15/month
Free tierYesNo
PlatformsWebWeb, Linux, Windows, macOS
Founded20062010

Identical on both: pricing model (Unknown), 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 AWS SageMaker

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

Only in Datadog

  • Infrastructure monitoring
  • Application performance monitoring
  • Log management
  • Real user monitoring
  • Synthetic monitoring
  • Security monitoring
  • Network monitoring
  • Serverless monitoring

What people use each for

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

AWS SageMaker

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

Datadog

  • Infrastructure monitoringnot AWS SageMaker
  • Application performancenot AWS SageMaker
  • Security monitoringnot AWS SageMaker
  • Log analysisnot AWS SageMaker
  • Cloud monitoringnot 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

Datadog

  • Consumption-based pricing model makes costs hard to predict and can scale quickly
  • Add-on modules significantly increase costs: custom metrics, indexed spans, extended retention
  • No free tier for production monitoring
  • High costs for organizations with large amounts of log data or high-cardinality metrics

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

Datadog

$15/month
  • Infrastructure Monitoring$15/month
    • Host monitoring
    • Basic dashboards
  • APM$31/month
    • Application performance monitoring
    • Trace collection
  • Log Management$0.1/gb
    • Log indexing
    • Search and filter

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 Datadog if

  • You need infrastructure monitoring.
  • You work on Web, Linux, Windows, macOS.
  • You also want application performance monitoring.
Datadog review

Questions people ask

Is AWS SageMaker or Datadog better?
Neither clearly leads. AWS SageMaker starts at Free and Datadog at $15/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or Datadog?
AWS SageMaker has a free tier; the other does not. Paid plans start at Free for AWS SageMaker and $15/month for Datadog.
Does AWS SageMaker or Datadog run on more platforms?
AWS SageMaker runs on Web. Datadog runs on Web, Linux, Windows, macOS.
Can I use AWS SageMaker for free?
Yes. AWS SageMaker has a free tier, so you can try it without paying. Datadog starts at $15/month.
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 Datadog is typically brought in for.
What can AWS SageMaker do that Datadog cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. Datadog covers Infrastructure monitoring, Application performance monitoring, Log management, Real user monitoring.

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
Datadog: How is Datadog pricing structured?

Datadog uses consumption-based pricing tied to data volume ingested, hosts monitored, and products enabled. Infrastructure Monitoring starts at $15/host/month, APM at $31/host/month, and Log Management at $0.10/GB for indexed logs.

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
Datadog: Does Datadog offer a free tier?

Datadog offers a free trial but not a permanent free tier for production monitoring. Pricing begins with paid plans only.

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
Datadog: What integrations does Datadog support?

Datadog offers 1000+ built-in integrations including AWS, Kubernetes, Docker, Azure, GCP, and most major cloud platforms and services.

Source
Datadog: Can Datadog monitor Kubernetes clusters?

Yes. The Datadog Agent runs as a DaemonSet to provide real-time visibility into pods, nodes, deployments, and control-plane health across major Kubernetes distributions including EKS, AKS, GKE, OpenShift, and others.

Source
Datadog: How can I reduce Datadog costs?

Datadog bills based on indexed logs, custom metrics, and high-cardinality tags. Costs can be unpredictable and may run 2-3x estimates. Prepaying annually can secure 5-15% discounts.

Source
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