Logging · head to head
Airbrake vs AWS SageMaker

AWS SageMaker
Machine Learning
Build, train, and deploy machine learning models at scale
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Airbrake data retention is 30 days on every plan, including the $799 a month Business tier; AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult
- They diverge on capability: Airbrake covers Error tracking, AWS SageMaker covers Jupyter notebooks.
Where they differ
Only the attributes on which Airbrake and AWS SageMaker actually diverge.
| Attribute | Airbrake | AWS SageMaker |
|---|---|---|
| Pricing model | subscription | Unknown |
| Platforms | Web, Api | Web |
| Category | Logging | Machine Learning |
| Founded | 2008 | 2006 |
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 AWS SageMaker
- Jupyter notebooks
- Built-in algorithms
- Automatic model tuning
- One-click deployment
- Model monitoring
- S3
- Lambda
- Step Functions
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 AWS SageMaker
- Performance monitoring alongside error trackingnot AWS SageMaker
- Alerting a team when a deploy introduces a spike in errorsnot AWS SageMaker
- Tracking errors across multiple projects in one accountnot AWS SageMaker
AWS SageMaker
- 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
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
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
AWS SageMaker
FreeNo published plan breakdown. See the AWS SageMaker 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.
Choose AWS SageMaker if
- You need jupyter notebooks.
- You want to start without paying.
- You also want built-in algorithms.
Questions people ask
- Is Airbrake or AWS SageMaker better?
- Neither clearly leads. Airbrake starts at Free and AWS SageMaker at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Airbrake or AWS SageMaker?
- Airbrake starts at Free and AWS SageMaker at Free.
- Does Airbrake or AWS SageMaker run on more platforms?
- Airbrake runs on Web, Api. AWS SageMaker runs on Web.
- 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 AWS SageMaker is typically brought in for.
- What can Airbrake do that AWS SageMaker cannot?
- Airbrake covers Error tracking, Performance monitoring, Deploy tracking, Custom notifications. AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. 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).
SourceAWS 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.
SourceAirbrake: 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).
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.
SourceAirbrake: 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.
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.
SourceRelated pages
More on AWS SageMaker
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