Logging · head to head
New Relic vs Python

Python
Machine Learning
Programming language that lets you work quickly
- From
- Free
- Rated
- -
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; Python no built-in GUI module in standard library; requires third-party libraries for desktop applications
- They diverge on capability: New Relic covers APM, Python covers High-level syntax.
Where they differ
Only the attributes on which New Relic and Python actually diverge.
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 New Relic
- APM
- Infrastructure Monitoring
- Log Management
- Browser Monitoring
- Synthetic Monitoring
- Mobile Monitoring
- Kubernetes Monitoring
- AI Ops
Only in Python
- High-level syntax
- Interpreted execution
- Object-oriented programming
- Dynamic typing
- Extensive standard library
- Package management (pip)
- Interactive shell
- Cross-platform compatibility
What people use each for
The jobs each tool is most often brought in to do.
New Relic
- Application monitoringnot Python
- Infrastructure monitoringnot Python
- Error trackingnot Python
- Performance optimizationnot Python
Python
- General-purpose programmingnot New Relic
- Data analysisnot New Relic
- Web developmentnot New Relic
- Automationnot New Relic
- Machine learningnot 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
Python
- No built-in GUI module in standard library; requires third-party libraries for desktop applications
- Global Interpreter Lock (GIL) limits true multithreading for CPU-bound operations
Pricing, plan by plan
New Relic
FreeNo published plan breakdown. See the New Relic review.
Python
FreeNo published plan breakdown. See the Python 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.
Choose Python if
- You need high-level syntax.
- You want to start without paying.
- You work on Windows, macOS, Linux, Android, iOS.
- You also want interpreted execution.
Questions people ask
- Is New Relic or Python better?
- Neither clearly leads. New Relic starts at Free and Python at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, New Relic or Python?
- New Relic starts at Free and Python at Free.
- Does New Relic or Python run on more platforms?
- New Relic runs on Web, Api, Mobile. Python runs on Windows, macOS, Linux, Android, iOS.
- 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 Python is typically brought in for.
- What can New Relic do that Python cannot?
- New Relic covers APM, Infrastructure Monitoring, Log Management, Browser Monitoring. Python covers High-level syntax, Interpreted execution, Object-oriented programming, Dynamic typing.
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.
SourcePython: How much does Python cost?
Python is free and open source. The Python Software Foundation accepts voluntary donations and memberships but does not charge for using Python itself.
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.
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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- Python vs Elastic Stack
- Python vs Datadog Logs
- Python vs Coralogix
- Python vs Grafana Loki
- Python vs incident.io
- Python vs Cronitor
- Python vs FireHydrant
- Python vs Healthchecks
- Python vs Openstatus
- Python vs Rootly
- Python vs Checkly
- Python vs CloudWatch
- Python vs Dynatrace
- Python vs InfluxDB
- Python vs Airbrake
- Python vs AppDynamics
- Python vs Axiom
- Python vs Azure Monitor
- Python vs AWS SageMaker
- Python vs Google Vertex AI
- Python vs Azure Machine Learning
- Python vs DataRobot
- Python vs MLflow
- Python vs Snowflake
- Python vs TensorFlow
- Python vs Comet ML
- Python vs Jupyter
- Python vs LangChain
- Python vs Pinecone
- Python vs PyTorch
- Python vs scikit-learn
- Python vs Apache Spark MLlib
- Python vs Weaviate
- Python vs Weights & Biases
- Python vs Alteryx
- Python vs Anaconda

