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AppDynamics vs PyTorch

AppDynamics logo

AppDynamics

Logging

Enterprise Application Performance Management

From
$6/month
Rated
-
Full reviewWebsite
PyTorch logo

PyTorch

Machine Learning

Deep learning framework with dynamic computation graphs

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only PyTorch 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; PyTorch dynamic computation graph can be less efficient for production inference than static graphs
  • They diverge on capability: AppDynamics covers Application performance monitoring, PyTorch covers Dynamic computation graphs.

Where they differ

Only the attributes on which AppDynamics and PyTorch actually diverge.

Attributes where AppDynamics and PyTorch differ
AttributeAppDynamicsPyTorch
Starting price$6/monthFree
Pricing modelsubscriptionUnknown
Free tierNoYes
PlatformsWeb, ApiLinux, Windows, macOS
CategoryLoggingMachine Learning
Founded20082016

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
  • Web support

Only in PyTorch

  • Dynamic computation graphs
  • Automatic differentiation
  • GPU acceleration
  • Distributed training
  • TorchScript
  • TorchVision
  • TorchText
  • TorchAudio

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 PyTorch
  • Business transaction tracing across distributed application tiersnot PyTorch
  • Infrastructure monitoring priced per vCPUnot PyTorch

PyTorch

  • 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

PyTorch

  • Dynamic computation graph can be less efficient for production inference than static graphs
  • Requires more manual code for distributed training compared to some alternatives
  • Documentation focused heavily on research use cases rather than production deployment

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

PyTorch

Free

No published plan breakdown. See the PyTorch 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 PyTorch if

  • You need dynamic computation graphs.
  • You want to start without paying.
  • You work on Linux, Windows, macOS.
  • You also want automatic differentiation.
PyTorch review

Questions people ask

Is AppDynamics or PyTorch better?
Neither clearly leads. AppDynamics starts at $6/month and PyTorch at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AppDynamics or PyTorch?
PyTorch has a free tier; the other does not. Paid plans start at $6/month for AppDynamics and Free for PyTorch.
Does AppDynamics or PyTorch run on more platforms?
AppDynamics runs on Web, Api. PyTorch runs on Linux, Windows, macOS.
Can I use PyTorch for free?
Yes. PyTorch 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 PyTorch is typically brought in for.
What can AppDynamics do that PyTorch cannot?
AppDynamics covers Application performance monitoring, Distributed tracing, Real-time analytics, Alert management. PyTorch covers Dynamic computation graphs, Automatic differentiation, GPU acceleration, Distributed training.

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
PyTorch: Is PyTorch free and open source?

Yes. PyTorch is an open source machine learning framework that is completely free to use. It was originally created and open-sourced by Facebook (now Meta) in 2016.

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
PyTorch: What platforms does PyTorch support?

PyTorch supports Linux, Windows, and macOS. It provides strong GPU acceleration through CUDA and other backends for high-performance computing.

Source
PyTorch: Can I use PyTorch for production deployments?

Yes. PyTorch provides graph-based execution, distributed training, mobile deployment, and quantization features to support production deployments.

Source
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