Softwr

Machine Learning · head to head

AWS SageMaker vs Langfuse

AWS SageMaker logo

AWS SageMaker

Machine Learning

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Full reviewWebsite
Langfuse logo

Langfuse

Software Development

Simple pricing for projects of all sizes

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult; Langfuse free Hobby plan limited to 2 users and 30-day data retention

Where they differ

Only the attributes on which AWS SageMaker and Langfuse actually diverge.

Attributes where AWS SageMaker and Langfuse differ
AttributeAWS SageMakerLangfuse
Pricing modelUnknownfreemium
CategoryMachine LearningSoftware Development
Founded2006Unknown

Identical on both: starting price (Free), free tier (Yes), platforms (Web), 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 Langfuse

Nothing recorded that AWS SageMaker does not also cover.

What people use each for

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

AWS SageMaker

  • Machine learningnot Langfuse
  • Data analysisnot Langfuse
  • Model trainingnot Langfuse
  • Predictive analyticsnot Langfuse

Langfuse

No use cases recorded yet. See the Langfuse review.

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

Langfuse

  • Free Hobby plan limited to 2 users and 30-day data retention
  • Overage pricing applies beyond included units; graduated rates from $8.00 per 100k units down to $6.00 per 100k units at 50M+ volume

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

Langfuse

Free
  • HobbyFree
    • 50k units/month
    • 30-day data retention
    • 2 users maximum
  • Core$29/month
    • 100k units/month
    • 90-day data retention
    • Unlimited users
  • Pro$199/month
    • 100k units/month
    • 3-year data retention
    • SOC2 & ISO27001 compliance
  • Enterprise$2499/month
    • Custom rate limits
    • Dedicated support engineer
    • SCIM API & audit logs

Which should you pick?

Choose AWS SageMaker if

  • You need jupyter notebooks.
  • You want to start without paying.
  • You also want built-in algorithms.
AWS SageMaker review

Choose Langfuse if

  • You want to start without paying.
Langfuse review

Questions people ask

Is AWS SageMaker or Langfuse better?
Neither clearly leads. AWS SageMaker starts at Free and Langfuse at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or Langfuse?
AWS SageMaker starts at Free and Langfuse at Free.
Does AWS SageMaker or Langfuse run on more platforms?
Both run on Web, so platform support will not decide this one for you.
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 Langfuse is typically brought in for.
What can AWS SageMaker do that Langfuse cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment.

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.

Source
Langfuse: What does Langfuse cost?

Langfuse starts at $29/month for the Core plan (100k units/month). Pro costs $199/month with 3-year data retention. Enterprise costs $2499/month for custom rate limits and dedicated support.

Source
AWS 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.

Source
Langfuse: Does Langfuse have a free plan?

Yes, the Hobby plan is free with 50k units/month, 30-day data retention, and support for up to 2 users.

Source
AWS 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.

Source
Langfuse: What happens if I exceed my unit limits on Langfuse?

Overage pricing applies with graduated rates: $8.00 per 100k units for 100k-1M units, $7.00 per 100k units for 1M-10M units, $6.50 per 100k units for 10M-50M units, and $6.00 per 100k units for 50M+ units.

Source
Langfuse: Are there discounts available on Langfuse?

Early-stage startups receive 50% off the first year. Research and student accounts qualify for up to 100% off. Non-profits receive $199 monthly credits.

Source
Share

Related pages

More on AWS SageMaker

More on Langfuse

Keep looking

Other head to heads