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New Relic vs scikit-learn

New Relic logo

New Relic

Logging

Observability made simple

From
Free
Rated
-
Full reviewWebsite
scikit-learn logo

scikit-learn

Machine Learning

Machine learning in Python

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; scikit-learn no GPU acceleration by default; limited optional GPU support requires external arrays
  • They diverge on capability: New Relic covers APM, scikit-learn covers Classification algorithms.

Where they differ

Only the attributes on which New Relic and scikit-learn actually diverge.

Attributes where New Relic and scikit-learn differ
AttributeNew Relicscikit-learn
PlatformsWeb, Api, MobilePython, Linux, macOS, Windows
CategoryLoggingMachine Learning
Founded20082007

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 scikit-learn

  • Classification algorithms
  • Regression models
  • Clustering methods
  • Dimensionality reduction
  • Model selection
  • NumPy
  • SciPy
  • Pandas

What people use each for

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

New Relic

  • Application monitoringnot scikit-learn
  • Infrastructure monitoringnot scikit-learn
  • Error trackingnot scikit-learn
  • Performance optimizationnot scikit-learn

scikit-learn

  • 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

scikit-learn

  • No GPU acceleration by default; limited optional GPU support requires external arrays
  • Single-machine only; no built-in distributed computing across clusters
  • All datasets must fit entirely in RAM; no out-of-core learning
  • No production-grade deep learning; neural network support limited to basic multilayer perceptron
  • No reinforcement learning algorithms

Pricing, plan by plan

New Relic

Free

No published plan breakdown. See the New Relic review.

scikit-learn

Free

No published plan breakdown. See the scikit-learn 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 scikit-learn if

  • You need classification algorithms.
  • You want to start without paying.
  • You work on Python, Linux, macOS, Windows.
  • You also want regression models.
scikit-learn review

Questions people ask

Is New Relic or scikit-learn better?
Neither clearly leads. New Relic starts at Free and scikit-learn at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, New Relic or scikit-learn?
New Relic starts at Free and scikit-learn at Free.
Does New Relic or scikit-learn run on more platforms?
New Relic runs on Web, Api, Mobile. scikit-learn runs on Python, Linux, macOS, Windows.
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 scikit-learn is typically brought in for.
What can New Relic do that scikit-learn cannot?
New Relic covers APM, Infrastructure Monitoring, Log Management, Browser Monitoring. scikit-learn covers Classification algorithms, Regression models, Clustering methods, Dimensionality reduction.

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
scikit-learn: Does scikit-learn support GPU acceleration?

Scikit-learn has no native GPU support by design to keep installation simple and cross-platform. Since 2023, a limited number of estimators can run on GPUs if input data is provided as PyTorch or CuPy arrays, but this requires additional setup.

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
scikit-learn: Can scikit-learn handle datasets larger than RAM?

No. Scikit-learn is built on NumPy which requires all data to fit in memory, and NumPy operates on single-machine CPUs only. For very large datasets, consider Spark MLlib or distributed alternatives.

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
scikit-learn: Is scikit-learn free to use commercially?

Yes. Scikit-learn is open source under the BSD license, which allows free commercial use, modification, and distribution.

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
scikit-learn: What neural network capabilities does scikit-learn have?

Scikit-learn includes only a basic multilayer perceptron (MLPClassifier and MLPRegressor) for simple feedforward networks. For serious deep learning, use PyTorch, TensorFlow, or Keras instead.

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
scikit-learn: Does scikit-learn include natural language processing?

Scikit-learn has minimal NLP support limited to basic text feature extraction and vectorization. For comprehensive text processing, use spaCy or NLTK instead.

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
scikit-learn: When was scikit-learn first released?

Scikit-learn's first public release was February 1, 2010, following its start as a Google Summer of Code project in 2007.

Source
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