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Machine Learning · head to head

AWS SageMaker vs Healthchecks

AWS SageMaker logo

AWS SageMaker

Machine Learning

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Healthchecks logo

Healthchecks

Logging

Simple and effective cron job monitoring

From
Free
Rated
-

The short version

  • Each has a real cost: AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult; Healthchecks free tier limited to 20 jobs, restricting scale for small teams
  • They diverge on capability: AWS SageMaker covers Jupyter notebooks, Healthchecks covers Ping URL monitoring.

Where they differ

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

Attributes where AWS SageMaker and Healthchecks differ
AttributeAWS SageMakerHealthchecks
Pricing modelUnknownPer-job monitoring with fixed tiers
PlatformsWebWeb, API
CategoryMachine LearningLogging
Founded20062015

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 Healthchecks

  • Ping URL monitoring
  • Customizable schedules
  • Event logs
  • Status badges
  • Email alerts
  • SMS and phone alerts
  • Multiple integrations

What people use each for

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

AWS SageMaker

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

Healthchecks

  • Monitoring cron jobs that run on schedulesnot AWS SageMaker
  • Alerting teams when background tasks failnot AWS SageMaker
  • Tracking Kubernetes CronJob execution healthnot AWS SageMaker
  • Monitoring Jenkins builds and deploymentsnot 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

Healthchecks

  • Free tier limited to 20 jobs, restricting scale for small teams
  • Requires explicit ping integration into each job
  • No workflow orchestration or job scheduling capabilities
  • SMS and phone credits consumed separately on paid plans
  • Limited to ping-based detection without deep job introspection

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

Healthchecks

Free
  • HobbyistFree
    • Monitor 20 jobs
    • 100 log entries per job
    • Email alerts
  • Supporter$5/month
    • Monitor 20 jobs
    • 100 log entries per job
    • Support the service financially
  • Business$20/month
    • Monitor 100 jobs
    • 1000 log entries per job
    • 50 SMS and WhatsApp credits
  • Business Plus$80/month
    • Monitor 1000 jobs
    • 1000 log entries per job
    • 500 SMS and WhatsApp credits

Which should you pick?

Choose AWS SageMaker if

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

Choose Healthchecks if

  • You need ping url monitoring.
  • You want to start without paying.
  • You work on Web, API.
  • You also want customizable schedules.

Questions people ask

Is AWS SageMaker or Healthchecks better?
Neither clearly leads. AWS SageMaker starts at Free and Healthchecks at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or Healthchecks?
AWS SageMaker starts at Free and Healthchecks at Free.
Does AWS SageMaker or Healthchecks run on more platforms?
AWS SageMaker runs on Web. Healthchecks 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 Healthchecks is typically brought in for.
What can AWS SageMaker do that Healthchecks cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. Healthchecks covers Ping URL monitoring, Customizable schedules, Event logs, Status badges.

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
Healthchecks: What does the free Hobbyist plan include?

The Hobbyist plan ($0/month) includes monitoring for 20 jobs, 100 log entries per job, and email alerts with no credit card required.

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
Healthchecks: What is the difference between Business and Business Plus?

Business ($20/month) monitors 100 jobs with 50 SMS credits. Business Plus ($80/month) monitors 1000 jobs with 500 SMS credits and priority support.

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
Healthchecks: Do nonprofits and open-source projects get special pricing?

Yes, open-source projects and nonprofits receive the Business plan at no cost.

Source
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