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New Relic vs PyTorch

New Relic logo

New Relic

Logging

Observability made simple

From
Free
Rated
-
Full reviewWebsite
PyTorch logo

PyTorch

Machine Learning

Deep learning framework with dynamic computation graphs

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: New Relic data ingest costs can be high for large-scale deployments with high logging volume, making budgeting difficult; PyTorch dynamic computation graph can be less efficient for production inference than static graphs
  • They diverge on capability: New Relic covers APM, PyTorch covers Dynamic computation graphs.

Where they differ

Only the attributes on which New Relic and PyTorch actually diverge.

Attributes where New Relic and PyTorch differ
AttributeNew RelicPyTorch
PlatformsWeb, Api, MobileLinux, Windows, macOS
CategoryLoggingMachine Learning
Founded20082016

Identical on both: starting price (Free), pricing model (Unknown), 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 New Relic

  • APM
  • Infrastructure Monitoring
  • Log Management
  • Browser Monitoring
  • Synthetic Monitoring
  • Mobile Monitoring
  • Kubernetes Monitoring
  • AI Ops

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.

New Relic

  • Application monitoringnot PyTorch
  • Infrastructure monitoringnot PyTorch
  • Error trackingnot PyTorch
  • Performance optimizationnot PyTorch

PyTorch

  • Machine learningnot New Relic
  • Data analysisnot New Relic
  • Model trainingnot New Relic
  • Predictive analyticsnot New Relic

Where each one falls short

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

New Relic

  • Data ingest costs can be high for large-scale deployments with high logging volume, making budgeting difficult
  • Core user licensing model adds complexity to pricing with distinction between full platform users and basic users
  • Default logs obfuscation may miss some sensitive patterns requiring custom configuration
  • Retention limits even on paid tiers require additional storage for long-term compliance requirements

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

New Relic

Free

No published plan breakdown. See the New Relic review.

PyTorch

Free

No published plan breakdown. See the PyTorch review.

Which should you pick?

Choose New Relic if

  • You need apm.
  • You want to start without paying.
  • You work on Web, Api, Mobile.
  • You also want infrastructure monitoring.
New Relic 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 New Relic or PyTorch better?
Neither clearly leads. New Relic starts at Free and PyTorch at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, New Relic or PyTorch?
New Relic starts at Free and PyTorch at Free.
Does New Relic or PyTorch run on more platforms?
New Relic runs on Web, Api, Mobile. PyTorch runs on Linux, Windows, macOS.
Can I use New Relic for free?
Both have a free tier, so you can try either at no cost before committing.
What is New Relic best used for?
New Relic is most often used for application monitoring, infrastructure monitoring, error tracking, performance optimization. Of those, application monitoring and infrastructure monitoring are not what PyTorch is typically brought in for.
What can New Relic do that PyTorch cannot?
New Relic covers APM, Infrastructure Monitoring, Log Management, Browser Monitoring. PyTorch covers Dynamic computation graphs, Automatic differentiation, GPU acceleration, Distributed training.

Answered from the vendors’ own pages

New Relic: Does New Relic offer a free tier?

Yes, New Relic's free tier is perpetual with no credit card required. It includes 100 GB of free data ingest monthly, one Full Platform User with access to all 50+ capabilities, and unlimited Basic Users for querying and dashboard creation.

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
New Relic: How much does New Relic cost for paid plans?

Paid plans start at $49 per month per core user. New Relic uses consumption-based pricing where you pay only for what you use. Annual commitment options are available with volume discounts for larger teams.

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
New Relic: What data retention is included in New Relic's free tier?

The free tier includes a minimum of 8 days data retention for troubleshooting. Paid plans offer extended retention periods and customizable data retention policies.

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
New Relic: How many integrations does New Relic support?

New Relic provides access to 780+ integrations and unlimited hosts at no additional cost. These include monitoring integrations for various cloud services, databases, and applications.

Source
New Relic: Can I use New Relic to monitor multiple cloud providers?

Yes, New Relic is cloud-agnostic and supports monitoring across AWS, Google Cloud, Azure, and on-premises infrastructure in a single platform.

Source
New Relic: What is New Relic's ownership structure today?

New Relic was acquired by TPG and Francisco Partners on July 31, 2023, for $6.5 billion and transitioned from a publicly traded company to a private company in November 2023.

Source
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