Machine Learning · head to head
Jupyter vs New Relic

Jupyter
Machine Learning
Interactive computing across all programming languages
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Jupyter notebook format makes version control and collaboration difficult with multiple contributors; New Relic data ingest costs can be high for large-scale deployments with high logging volume, making budgeting difficult
- They diverge on capability: Jupyter covers Interactive notebooks, New Relic covers APM.
Where they differ
Only the attributes on which Jupyter and New Relic actually diverge.
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 Jupyter
- Interactive notebooks
- Live code execution
- Rich visualizations
- Markdown documentation
- Multi-language kernels
- Python
- R
- Julia
Only in New Relic
- APM
- Infrastructure Monitoring
- Log Management
- Browser Monitoring
- Synthetic Monitoring
- Mobile Monitoring
- Kubernetes Monitoring
- AI Ops
What people use each for
The jobs each tool is most often brought in to do.
Jupyter
- Machine learningnot New Relic
- Data analysisnot New Relic
- Model trainingnot New Relic
- Predictive analyticsnot New Relic
New Relic
- Application monitoringnot Jupyter
- Infrastructure monitoringnot Jupyter
- Error trackingnot Jupyter
- Performance optimizationnot Jupyter
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Jupyter
- Notebook format makes version control and collaboration difficult with multiple contributors
- Performance degrades with large datasets due to loading entire dataset into memory
- Debugging capabilities limited compared to traditional IDEs
- No paid support or commercial backing
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
Pricing, plan by plan
Jupyter
FreeNo published plan breakdown. See the Jupyter review.
New Relic
FreeNo published plan breakdown. See the New Relic review.
Which should you pick?
Choose Jupyter if
- You need interactive notebooks.
- You want to start without paying.
- You work on Web, Cross-platform, Linux, macOS, Windows.
- You also want live code execution.
Choose New Relic if
- You need apm.
- You want to start without paying.
- You work on Web, Api, Mobile.
- You also want infrastructure monitoring.
Questions people ask
- Is Jupyter or New Relic better?
- Neither clearly leads. Jupyter starts at Free and New Relic at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Jupyter or New Relic?
- Jupyter starts at Free and New Relic at Free.
- Does Jupyter or New Relic run on more platforms?
- Jupyter runs on Web, Cross-platform, Linux, macOS, Windows. New Relic runs on Web, Api, Mobile.
- Can I use Jupyter for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Jupyter best used for?
- Jupyter is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what New Relic is typically brought in for.
- What can Jupyter do that New Relic cannot?
- Jupyter covers Interactive notebooks, Live code execution, Rich visualizations, Markdown documentation. New Relic covers APM, Infrastructure Monitoring, Log Management, Browser Monitoring.
Answered from the vendors’ own pages
Jupyter: Is Jupyter free to use?
Yes, Jupyter is completely free and open-source under the BSD license. There are no paid plans or commercial support requirements.
SourceNew 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.
SourceJupyter: What programming languages does Jupyter support?
Jupyter supports Python plus over 40 additional programming languages including R, Julia, Scala, and many others through different kernels.
SourceNew 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.
SourceJupyter: What is JupyterLab?
JupyterLab is the successor to classic Jupyter Notebook, adding a file browser, multiple tabs, terminal access, and an extension ecosystem for enhanced functionality.
SourceNew 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.
SourceNew 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.
SourceNew 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.
SourceNew 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.
SourceRelated pages
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- New Relic vs MLflow
- New Relic vs Snowflake
- New Relic vs TensorFlow
- New Relic vs Comet ML
- New Relic vs LangChain
- New Relic vs Pinecone
- New Relic vs Python
- New Relic vs PyTorch
- New Relic vs scikit-learn
- New Relic vs Apache Spark MLlib
- New Relic vs Weaviate
- New Relic vs Weights & Biases
- New Relic vs Alteryx
- New Relic vs Anaconda
- New Relic vs Elastic Stack
- New Relic vs Datadog Logs
- New Relic vs Coralogix
- New Relic vs Grafana Loki
- New Relic vs incident.io
- New Relic vs Cronitor
- New Relic vs FireHydrant
- New Relic vs Healthchecks
- New Relic vs Openstatus
- New Relic vs Rootly
- New Relic vs Checkly
- New Relic vs CloudWatch
- New Relic vs Dynatrace
- New Relic vs InfluxDB
- New Relic vs Airbrake
- New Relic vs AppDynamics
- New Relic vs Axiom
- New Relic vs Azure Monitor

