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Machine Learning · head to head

AWS SageMaker vs Dynatrace

AWS SageMaker logo

AWS SageMaker

Machine Learning

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Full reviewWebsite
Dynatrace logo

Dynatrace

Logging

Application Performance Management and Observability

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; Dynatrace pricing is commitment based: rates require an annual platform level commitment rather than month to month purchase
  • They diverge on capability: AWS SageMaker covers Jupyter notebooks, Dynatrace covers AI-powered analytics.

Where they differ

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

Attributes where AWS SageMaker and Dynatrace differ
AttributeAWS SageMakerDynatrace
Pricing modelUnknownsubscription
PlatformsWebWeb, Api
CategoryMachine LearningLogging
Founded20062005

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 Dynatrace

  • AI-powered analytics
  • APM
  • Infrastructure monitoring
  • Log analysis
  • 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 Dynatrace
  • Data analysisnot Dynatrace
  • Model trainingnot Dynatrace
  • Predictive analyticsnot Dynatrace

Dynatrace

  • Full stack application performance monitoring with automatic dependency discoverynot AWS SageMaker
  • Kubernetes and container platform observability priced per podnot AWS SageMaker
  • Log ingest, processing and query analyticsnot AWS SageMaker
  • Real user monitoring and session replay for web applicationsnot 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

Dynatrace

  • Pricing is commitment based: rates require an annual platform level commitment rather than month to month purchase
  • Full-Stack Monitoring is priced at $58 per month per 8 GiB of host memory, so a 64 GiB host counts as eight units
  • Infrastructure Monitoring at $29 per host per month excludes code level tracing, which requires Full-Stack
  • Session Replay doubles Real User Monitoring cost from $2.25 to $4.50 per 1,000 sessions
  • Runtime Vulnerability Analytics and Runtime Application Protection are each charged separately at $13 per month per 8 GiB host on top of monitoring

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

Dynatrace

Free
  • FreeFree
    • AI-powered analytics
    • APM
    • Infrastructure monitoring

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 Dynatrace if

  • You need ai-powered analytics.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want apm.
Dynatrace review

Questions people ask

Is AWS SageMaker or Dynatrace better?
Neither clearly leads. AWS SageMaker starts at Free and Dynatrace at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or Dynatrace?
AWS SageMaker starts at Free and Dynatrace at Free.
Does AWS SageMaker or Dynatrace run on more platforms?
AWS SageMaker runs on Web. Dynatrace 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 Dynatrace is typically brought in for.
What can AWS SageMaker do that Dynatrace cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. Dynatrace covers AI-powered analytics, APM, Infrastructure monitoring, Log analysis. 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
Dynatrace: What is the pricing model for Dynatrace monitoring?

Dynatrace uses commitment-based platform subscription pricing with a minimum annual commitment at the platform level. You pay no per-capability or per-user fees. All capabilities are included day one and draw from your commitment at published rates.

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
Dynatrace: Is there an overage charge if I exceed my commitment?

No, there are no overage penalties. Excess usage continues at the same per-unit rates published on the rate card. The more you commit upfront, the deeper your discount.

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
Dynatrace: What is the cost for monitoring application infrastructure?

Application monitoring costs $7/month per host ($0.01/hour) for Foundation & Discovery, $29/month per host for Infrastructure Monitoring, or $58/month per 8 GiB of host memory for Full-Stack Monitoring.

Source
Dynatrace: How much does log ingestion and querying cost?

Log Analytics pricing is $0.20/GiB for ingestion, then either $0.0007/GiB-day for retention with bundled queries (10-35 days retention included), or pay-per-query at $0.0007/GiB-day retention plus $0.0035 per GiB scanned.

Source
Dynatrace: Is there a free trial available?

Yes, Dynatrace offers a 15-day free trial plus a sandbox environment for hands-on exploration at no cost.

Source
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