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Machine Learning · head to head

AWS SageMaker vs CloudWatch

AWS SageMaker logo

AWS SageMaker

Machine Learning

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Full reviewWebsite
CloudWatch logo

CloudWatch

Logging

AWS Monitoring 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; CloudWatch the free tier covers 5 GB of log ingestion and 10 custom metrics a month, after which log ingestion is $0.50 per GB from 5 to 30 GB
  • They diverge on capability: AWS SageMaker covers Jupyter notebooks, CloudWatch covers Metrics collection.

Where they differ

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

Attributes where AWS SageMaker and CloudWatch differ
AttributeAWS SageMakerCloudWatch
Pricing modelUnknownusage-based
PlatformsWebWeb, Api
CategoryMachine LearningLogging

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), founded (2006).

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 CloudWatch

  • Metrics collection
  • Log aggregation
  • Dashboards
  • Alarms and notifications
  • 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 CloudWatch
  • Data analysisnot CloudWatch
  • Model trainingnot CloudWatch
  • Predictive analyticsnot CloudWatch

CloudWatch

  • Metrics and log collection for AWS workloadsnot AWS SageMaker
  • Alarming on thresholds across AWS servicesnot AWS SageMaker
  • Querying logs with Logs Insightsnot AWS SageMaker
  • Live tailing logs during an incidentnot AWS SageMaker
  • Distributed tracing alongside X-Raynot 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

CloudWatch

  • The free tier covers 5 GB of log ingestion and 10 custom metrics a month, after which log ingestion is $0.50 per GB from 5 to 30 GB
  • Custom metrics are $0.30 each for the first 10,000, so instrumenting broadly gets expensive before volume discounts apply
  • Each custom dashboard beyond the free three is $3 a month
  • Alarms are billed at $0.10 per alarm metric a month, with high-resolution alarms costing more
  • Log storage beyond the free 5 GB is $0.03 per GB per month on top of the ingestion charge

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

CloudWatch

Free
  • Pay-as-you-goFree
    • Logs ingestion: $0.50/GB (first 5GB free), down to $0.05/GB at scale
    • Logs storage: $0.03/GB/month
    • Live Tail: $0.01/minute after 1,800 free minutes
  • Free tierFree
    • 5GB logs ingestion per month
    • 10 custom metrics
    • 3 custom dashboards

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 CloudWatch if

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

Questions people ask

Is AWS SageMaker or CloudWatch better?
Neither clearly leads. AWS SageMaker starts at Free and CloudWatch at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or CloudWatch?
AWS SageMaker starts at Free and CloudWatch at Free.
Does AWS SageMaker or CloudWatch run on more platforms?
AWS SageMaker runs on Web. CloudWatch 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 CloudWatch is typically brought in for.
What can AWS SageMaker do that CloudWatch cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. CloudWatch covers Metrics collection, Log aggregation, Dashboards, Alarms and notifications. 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
CloudWatch: How much does Amazon CloudWatch cost?

CloudWatch uses pay-as-you-go pricing with no upfront commitment. Logs ingestion costs $0.50/GB (first 5GB free), logs storage is $0.03/GB/month, custom metrics cost $0.30/metric/month (first 10,000), custom dashboards are $3/month, and standard alarms are $0.10/metric/month.

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
CloudWatch: Does CloudWatch offer a free tier?

Yes, CloudWatch free tier includes 5GB logs ingestion, 10 custom metrics, 3 custom dashboards, and 10 alarm metrics per month at no charge. Usage beyond these limits incurs pay-as-you-go fees.

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
CloudWatch: What are CloudWatch's pricing tiers for high-volume usage?

CloudWatch offers tiered pricing with volume discounts: logs ingestion starts at $0.50/GB and decreases to $0.05/GB at higher volumes; custom metrics start at $0.30/metric/month and decline to $0.05 at higher volumes; Application Signals cost $1.50 per million traces initially, declining to $0.30.

Source
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