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AppDynamics vs AWS SageMaker

AppDynamics logo

AppDynamics

Logging

Enterprise Application Performance Management

From
$6/month
Rated
-
Full reviewWebsite
AWS SageMaker logo

AWS SageMaker

Machine Learning

Build, train, and deploy machine learning models at scale

From
Free
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: AppDynamics appdynamics.com/pricing returns a 301 redirect to Splunk's observability pricing page; the product is now sold as Splunk AppDynamics; AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult
  • They diverge on capability: AppDynamics covers Application performance monitoring, AWS SageMaker covers Jupyter notebooks.

Where they differ

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

Attributes where AppDynamics and AWS SageMaker differ
AttributeAppDynamicsAWS SageMaker
Starting price$6/monthFree
Pricing modelsubscriptionUnknown
Free tierNoYes
PlatformsWeb, ApiWeb
CategoryLoggingMachine Learning
Founded20082006

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 AppDynamics

  • Application performance monitoring
  • Distributed tracing
  • Real-time analytics
  • Alert management
  • API
  • Webhooks
  • REST
  • Api support

Only in AWS SageMaker

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

Both cover

  • Web support

What people use each for

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

AppDynamics

  • Application performance monitoring for Java, .NET and other enterprise application stacksnot AWS SageMaker
  • Business transaction tracing across distributed application tiersnot AWS SageMaker
  • Infrastructure monitoring priced per vCPUnot AWS SageMaker

AWS SageMaker

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

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

AppDynamics

  • appdynamics.com/pricing returns a 301 redirect to Splunk's observability pricing page; the product is now sold as Splunk AppDynamics
  • Infrastructure Edition starts at $6 per vCPU per month billed annually, so cost scales with core count rather than host count
  • Premium Edition starts at $33 per host per month and Enterprise Edition at $50 per host per month, both billed annually
  • The published figures are starting prices only, with volume pricing requiring a sales quote

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

Pricing, plan by plan

AppDynamics

$6/month
  • Infrastructure Edition$6/month
    • Infrastructure monitoring
  • Premium Edition$33/month
    • Infrastructure monitoring
    • Applications
    • APM
  • Enterprise Edition$50/month
    • Premium Edition features
    • Business Analytics

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

Which should you pick?

Choose AppDynamics if

  • You need application performance monitoring.
  • You work on Web, Api.
  • You also want distributed tracing.
AppDynamics review

Choose AWS SageMaker if

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

Questions people ask

Is AppDynamics or AWS SageMaker better?
Neither clearly leads. AppDynamics starts at $6/month and AWS SageMaker at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AppDynamics or AWS SageMaker?
AWS SageMaker has a free tier; the other does not. Paid plans start at $6/month for AppDynamics and Free for AWS SageMaker.
Does AppDynamics or AWS SageMaker run on more platforms?
AppDynamics runs on Web, Api. AWS SageMaker runs on Web.
Can I use AWS SageMaker for free?
Yes. AWS SageMaker has a free tier, so you can try it without paying. AppDynamics starts at $6/month.
What is AppDynamics best used for?
AppDynamics is most often used for application performance monitoring for java, .net and other enterprise application stacks, business transaction tracing across distributed application tiers, infrastructure monitoring priced per vcpu. Of those, application performance monitoring for java, .net and other enterprise application stacks and business transaction tracing across distributed application tiers are not what AWS SageMaker is typically brought in for.
What can AppDynamics do that AWS SageMaker cannot?
AppDynamics covers Application performance monitoring, Distributed tracing, Real-time analytics, Alert management. AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. Both handle Web support.

Answered from the vendors’ own pages

AppDynamics: How is AppDynamics priced?

AppDynamics uses a subscription model based on vCPU usage, billed annually. Infrastructure Edition starts at $6 per vCPU/month, Premium Edition at $33 per vCPU/month, and Enterprise Edition at $50 per vCPU/month. Additional capabilities like Secure Application, Real User Monitoring, and Synthetics have separate per-unit pricing.

Source
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
AppDynamics: What add-on costs does AppDynamics charge?

Secure Application costs $13.75 per CPU core per month (billed annually). Real User Monitoring is $0.06 per 1000 tokens per month. Browser Synthetics costs $12 per test location per month. SAP Solutions monitoring is $95 per CPU core per 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
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
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