Machine Learning · head to head
AWS SageMaker vs New Relic

AWS SageMaker
Machine Learning
Build, train, and deploy machine learning models at scale
- From
- Free
- Rated
- -
The short version
- Each has a real cost: AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult; New Relic data ingest costs can be high for large-scale deployments with high logging volume, making budgeting difficult
- They diverge on capability: AWS SageMaker covers Jupyter notebooks, New Relic covers APM.
Where they differ
Only the attributes on which AWS SageMaker and New Relic actually diverge.
| Attribute | AWS SageMaker | New Relic |
|---|---|---|
| Platforms | Web | Web, Api, Mobile |
| Category | Machine Learning | Logging |
| Founded | 2006 | 2008 |
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 AWS SageMaker
- Jupyter notebooks
- Built-in algorithms
- Automatic model tuning
- One-click deployment
- Model monitoring
- S3
- Lambda
- Step Functions
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.
AWS SageMaker
- Machine learningnot New Relic
- Data analysisnot New Relic
- Model trainingnot New Relic
- Predictive analyticsnot New Relic
New Relic
- Application monitoringnot AWS SageMaker
- Infrastructure monitoringnot AWS SageMaker
- Error trackingnot AWS SageMaker
- Performance optimizationnot AWS SageMaker
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
AWS SageMaker
- Vendor lock-in to AWS ecosystem makes migration to other platforms difficult
- Opaque pricing can lead to unexpected expenses like forgotten EBS volume charges
- Does not include native job scheduling, requiring Lambda or EventBridge integration
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
AWS SageMaker
FreeNo published plan breakdown. See the AWS SageMaker review.
New Relic
FreeNo published plan breakdown. See the New Relic review.
Which should you pick?
Choose AWS SageMaker if
- You need jupyter notebooks.
- You want to start without paying.
- You also want built-in algorithms.
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 AWS SageMaker or New Relic better?
- Neither clearly leads. AWS SageMaker 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, AWS SageMaker or New Relic?
- AWS SageMaker starts at Free and New Relic at Free.
- Does AWS SageMaker or New Relic run on more platforms?
- AWS SageMaker runs on Web. New Relic runs on Web, Api, Mobile.
- Can I use AWS SageMaker for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is AWS SageMaker best used for?
- AWS SageMaker 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 AWS SageMaker do that New Relic cannot?
- AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. New Relic covers APM, Infrastructure Monitoring, Log Management, Browser Monitoring.
Answered from the vendors’ own pages
AWS SageMaker: What is AWS SageMaker used for?
AWS SageMaker is a machine learning service for building, training, and deploying ML models at scale. It provides tools for data preparation, model training, inference endpoints, and performance optimization.
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.
SourceAWS SageMaker: How is AWS SageMaker priced?
SageMaker uses pay-as-you-go pricing with no upfront costs or long-term commitments. Pricing starts at $0.04 per hour for basic notebook instances and scales based on instance type. ML Savings Plans offer up to 64% off with hourly spend commitments.
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.
SourceAWS SageMaker: Does AWS SageMaker have a free tier?
Yes, the free tier includes 250 hours of notebook usage, 50 hours of training, and 125 hours of hosting on ml.t3.medium instances during the first two months.
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
More on AWS SageMaker
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- New Relic vs Apache Spark MLlib
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- 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
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