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Machine Learning · head to head

AWS SageMaker vs Datadog Logs

AWS SageMaker logo

AWS SageMaker

Machine Learning

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Full reviewWebsite
Datadog Logs logo

Datadog Logs

Logging

Log Management and Analytics

From
$0.1/per GB ingested per 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 Logs complex, multi-tiered pricing model based on ingestion, indexing, and storage; can become expensive at scale
  • They diverge on capability: AWS SageMaker covers Jupyter notebooks, Datadog Logs covers Log ingestion.

Where they differ

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

Attributes where AWS SageMaker and Datadog Logs differ
AttributeAWS SageMakerDatadog Logs
Starting priceFree$0.1/per GB ingested per month
Pricing modelUnknownusage-based
Free tierYesNo
PlatformsWebCloud (AWS, Azure, Google Cloud, Oracle Cloud)
CategoryMachine LearningLogging
Founded20062010

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 AWS SageMaker

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

Only in Datadog Logs

  • Log ingestion
  • Full-text search
  • Custom dashboards
  • Log-based metrics
  • 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 Datadog Logs
  • Data analysisnot Datadog Logs
  • Model trainingnot Datadog Logs
  • Predictive analyticsnot Datadog Logs

Datadog Logs

  • Centralised log aggregation and analysisnot AWS SageMaker
  • Multi-source log correlation with metrics and tracesnot AWS SageMaker
  • Root cause analysis and troubleshootingnot AWS SageMaker
  • Security monitoring and threat detectionnot 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 Logs

  • Complex, multi-tiered pricing model based on ingestion, indexing, and storage; can become expensive at scale
  • Ingestion pricing of $0.10/GB can accumulate rapidly for high-volume logging environments

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

Datadog Logs

$0.1/per GB ingested per month

No published plan breakdown. See the Datadog Logs review.

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 Logs if

  • You need log ingestion.
  • You work on Cloud (AWS, Azure, Google Cloud, Oracle Cloud).
  • You also want full-text search.
Datadog Logs review

Questions people ask

Is AWS SageMaker or Datadog Logs better?
Neither clearly leads. AWS SageMaker starts at Free and Datadog Logs at $0.1/per GB ingested per month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or Datadog Logs?
AWS SageMaker has a free tier; the other does not. Paid plans start at Free for AWS SageMaker and $0.1/per GB ingested per month for Datadog Logs.
Does AWS SageMaker or Datadog Logs run on more platforms?
AWS SageMaker runs on Web. Datadog Logs runs on Cloud (AWS, Azure, Google Cloud, Oracle Cloud).
Can I use AWS SageMaker for free?
Yes. AWS SageMaker has a free tier, so you can try it without paying. Datadog Logs starts at $0.1/per GB ingested per 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 Logs is typically brought in for.
What can AWS SageMaker do that Datadog Logs cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. Datadog Logs covers Log ingestion, Full-text search, Custom dashboards, Log-based metrics. 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
Datadog Logs: What pricing options does Datadog offer for log ingestion and processing?

Log ingestion starts at $0.10/GB (annual billing; $0.10 on-demand). Standard indexing costs $1.70 per million events per month (annual; $2.55 on-demand). Flex Storage costs $0.05/million events stored per month (annual; $0.075 on-demand). Flex Logs Starter costs $0.60/million events stored per month (annual; $0.90 on-demand).

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 Logs: What retention options are available and how does it affect pricing?

Standard indexing offers 15-day retention with options for 3 to 30+ days. Flex Storage supports flexible retention up to 15 months. Flex Logs Starter includes bundled compute for retention of 3-15 months.

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 Logs: Is there a cost to forward logs to external systems?

Yes, log forwarding costs $0.25/GB outbound per destination for routing logs to external systems.

Source
Datadog Logs: What discounts are available for high-volume customers?

Multi-year and volume discounts are available for customers processing 3B+ events per month.

Source
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