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Logging · head to head

Airbrake vs TensorFlow

Airbrake logo

Airbrake

Logging

Error Tracking and Performance Monitoring

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: Airbrake data retention is 30 days on every plan, including the $799 a month Business tier; TensorFlow pyTorch dominates NLP research ecosystem with Hugging Face Transformers starting as PyTorch-only
  • They diverge on capability: Airbrake covers Error tracking, TensorFlow covers Deep learning framework.

Where they differ

Only the attributes on which Airbrake and TensorFlow actually diverge.

Attributes where Airbrake and TensorFlow differ
AttributeAirbrakeTensorFlow
Pricing modelsubscriptionUnknown
PlatformsWeb, ApiPython, JavaScript, C++, Java, Go, Rust
CategoryLoggingMachine Learning
Founded20081998

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 Airbrake

  • Error tracking
  • Performance monitoring
  • Deploy tracking
  • Custom notifications
  • API
  • Webhooks
  • REST
  • Api support

Only in TensorFlow

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

Both cover

  • Web support

What people use each for

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

Airbrake

  • Error and exception monitoring for web applicationsnot TensorFlow
  • Performance monitoring alongside error trackingnot TensorFlow
  • Alerting a team when a deploy introduces a spike in errorsnot TensorFlow
  • Tracking errors across multiple projects in one accountnot TensorFlow

TensorFlow

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

Where each one falls short

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

Airbrake

  • Data retention is 30 days on every plan, including the $799 a month Business tier
  • The entry plan at $19 a month covers 25,000 errors and 7,500 events
  • Errors beyond the plan quota are billed on demand
  • Audit logs and spike forgiveness require the Pro tier
  • The lowest tier is limited to 1 user and 1 team

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

Airbrake

Free
  • Tier 1 (Dev + errors)$19/month
    • 25,000 errors per month
    • 1 user
    • 1 team
  • Tier 2 (Basic + errors)$38/month
    • 100,000 errors per month
    • Unlimited users
    • 3 teams
  • Pro$76/month
    • Unlimited users
    • Unlimited teams
    • Unlimited projects
  • Tier 5 (Growth)$299/month
    • 1 million errors per month

TensorFlow

Free

No published plan breakdown. See the TensorFlow review.

Which should you pick?

Choose Airbrake if

  • You need error tracking.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want performance monitoring.
Airbrake 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 Airbrake or TensorFlow better?
Neither clearly leads. Airbrake 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, Airbrake or TensorFlow?
Airbrake starts at Free and TensorFlow at Free.
Does Airbrake or TensorFlow run on more platforms?
Airbrake runs on Web, Api. TensorFlow runs on Python, JavaScript, C++, Java, Go, Rust.
Can I use Airbrake for free?
Both have a free tier, so you can try either at no cost before committing.
What is Airbrake best used for?
Airbrake is most often used for error and exception monitoring for web applications, performance monitoring alongside error tracking, alerting a team when a deploy introduces a spike in errors, tracking errors across multiple projects in one account. Of those, error and exception monitoring for web applications and performance monitoring alongside error tracking are not what TensorFlow is typically brought in for.
What can Airbrake do that TensorFlow cannot?
Airbrake covers Error tracking, Performance monitoring, Deploy tracking, Custom notifications. TensorFlow covers Deep learning framework, Neural network training, Model deployment, TensorBoard visualization. Both handle Web support.

Answered from the vendors’ own pages

Airbrake: What is the lowest-cost Airbrake plan and what does it include?

Tier 1 costs $19 per month and includes 25,000 errors per month, 1 user seat, 1 team, and unlimited projects. This plan targets individual developers. A 10% discount applies when paying annually ($17.10 per month).

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
Airbrake: Which Airbrake plan is marked as the best value?

The Pro plan at $76 per month is marked as Best Value. It includes unlimited users, unlimited teams, unlimited projects, audit logs, and spike forgiveness. Annual billing provides a 10% discount ($68 per month).

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
Airbrake: How many errors per month does each Airbrake tier allow?

Tier 1 allows 25,000 errors per month at $19/month. Tier 2 allows 100,000 errors at $38/month. Tier 4 allows 300,000 errors at $129/month. Tier 5 allows 1 million errors at $299/month. Tier 6 allows 5 million errors at $799/month.

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
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
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