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Logging · head to head

New Relic vs TensorFlow

New Relic logo

New Relic

Logging

Observability made simple

From
Free
Rated
-
Full reviewWebsite
TensorFlow logo

TensorFlow

Machine Learning

Open-source machine learning framework by Google

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; TensorFlow pyTorch dominates NLP research ecosystem with Hugging Face Transformers starting as PyTorch-only
  • They diverge on capability: New Relic covers APM, TensorFlow covers Deep learning framework.

Where they differ

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

Attributes where New Relic and TensorFlow differ
AttributeNew RelicTensorFlow
PlatformsWeb, Api, MobilePython, JavaScript, C++, Java, Go, Rust
CategoryLoggingMachine Learning
Founded20081998

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 TensorFlow

  • Deep learning framework
  • Neural network training
  • Model deployment
  • TensorBoard visualization
  • Distributed training
  • Keras
  • TensorFlow Lite
  • TensorFlow.js

What people use each for

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

New Relic

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

TensorFlow

  • 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

TensorFlow

  • PyTorch dominates NLP research ecosystem with Hugging Face Transformers starting as PyTorch-only
  • Broader ecosystem is more complex to navigate for new users compared to PyTorch's more Pythonic API
  • Performance advantage over PyTorch exists mainly at very large scale with TPUs, not for most workloads

Pricing, plan by plan

New Relic

Free

No published plan breakdown. See the New Relic review.

TensorFlow

Free

No published plan breakdown. See the TensorFlow 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 TensorFlow if

  • You need deep learning framework.
  • You want to start without paying.
  • You work on Python, JavaScript, C++, Java, Go, Rust.
  • You also want neural network training.
TensorFlow review

Questions people ask

Is New Relic or TensorFlow better?
Neither clearly leads. New Relic starts at Free and TensorFlow at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, New Relic or TensorFlow?
New Relic starts at Free and TensorFlow at Free.
Does New Relic or TensorFlow run on more platforms?
New Relic runs on Web, Api, Mobile. TensorFlow runs on Python, JavaScript, C++, Java, Go, Rust.
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 TensorFlow is typically brought in for.
What can New Relic do that TensorFlow cannot?
New Relic covers APM, Infrastructure Monitoring, Log Management, Browser Monitoring. TensorFlow covers Deep learning framework, Neural network training, Model deployment, TensorBoard visualization.

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
TensorFlow: Can I run TensorFlow in a web browser?

Yes. TensorFlow.js allows you to develop and deploy machine learning models directly in the browser using JavaScript. It supports both WebGL GPU backend and WebAssembly backends for acceleration.

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
TensorFlow: Does TensorFlow support deployment on mobile devices?

Yes. TensorFlow Lite enables on-device machine learning on Android, iOS, Raspberry Pi, and embedded systems. LiteRT provides high-performance AI inference for resource-constrained IoT devices.

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
TensorFlow: What hardware accelerators does TensorFlow support?

TensorFlow supports GPU acceleration and Google's proprietary Tensor Processing Units (TPUs) for specialized matrix operations. Cloud TPUs offer native high-performance support for large-scale machine learning.

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
TensorFlow: Is TensorFlow free and open-source?

Yes. TensorFlow is completely free and open-source under the Apache 2.0 license. Google released TensorFlow as open-source on November 9, 2015 for anyone to use without licensing costs.

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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