Softwr

Machine Learning · head to head

AWS SageMaker vs Snowflake

AWS SageMaker logo

AWS SageMaker

Machine Learning

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Full reviewWebsite
Snowflake logo

Snowflake

Machine Learning

The AI Data Cloud for enterprise data warehousing

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; Snowflake no flat subscription price is published - cost varies by edition, cloud provider, and region and requires a separate calculator or credit-consumption table
  • They diverge on capability: AWS SageMaker covers Jupyter notebooks, Snowflake covers Separated Compute/Storage.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where AWS SageMaker and Snowflake differ
AttributeAWS SageMakerSnowflake
PlatformsWebWeb, API
Founded20062012

Identical on both: starting price (Free), pricing model (Unknown), free tier (Yes), user rating (Not yet rated), category (Machine Learning).

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 Snowflake

  • Separated Compute/Storage
  • Near-zero Maintenance
  • Data Sharing
  • Time Travel
  • Cloning
  • Multi-cluster Warehouse
  • Semi-structured Data
  • dbt

Both cover

  • Web support

What people use each for

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

AWS SageMaker

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

Snowflake

  • Cloud data warehousing and SQL analyticsnot AWS SageMaker
  • Data engineering and ELT pipelinesnot AWS SageMaker
  • Data sharing and marketplacenot AWS SageMaker
  • AI/ML workloads via Snowpark and Cortexnot AWS SageMaker
  • BI backend for tools such as Tableau and Power BInot 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

Snowflake

  • No flat subscription price is published - cost varies by edition, cloud provider, and region and requires a separate calculator or credit-consumption table
  • Free trial is capped at $400 in credits or 30 days, whichever comes first, not a perpetual free tier
  • During the trial, certain features (external network access, hybrid tables, Openflow) are capped at 10 credits/day until a payment method is added
  • Total cost combines compute credits, storage, and data transfer billed separately

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

Snowflake

Free
  • Standard$undefined/mo
    • Consumption-based, per-credit pricing
  • Enterprise$undefined/mo
    • Consumption-based, per-credit pricing
  • Business Critical$undefined/mo
    • Consumption-based, per-credit pricing
  • Virtual Private Snowflake$undefined/mo
    • Consumption-based, per-credit pricing

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 Snowflake if

  • You need separated compute/storage.
  • You want to start without paying.
  • You work on Web, API.
  • You also want near-zero maintenance.
Snowflake review

Questions people ask

Is AWS SageMaker or Snowflake better?
Neither clearly leads. AWS SageMaker starts at Free and Snowflake at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or Snowflake?
AWS SageMaker starts at Free and Snowflake at Free.
Does AWS SageMaker or Snowflake run on more platforms?
AWS SageMaker runs on Web. Snowflake runs on Web, API.
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 Snowflake is typically brought in for.
What can AWS SageMaker do that Snowflake cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. Snowflake covers Separated Compute/Storage, Near-zero Maintenance, Data Sharing, Time Travel. Both handle Web support.

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
Snowflake: How is Snowflake priced?

Snowflake uses a consumption based model. Compute is billed in credits and storage is charged monthly on the average amount stored after compression. Capacity can be bought on demand or pre-paid.

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
Snowflake: What Snowflake editions are there?

Snowflake sells four editions: Standard as the entry level offering, Enterprise for high growth and large scale customers, Business Critical for regulated industries handling sensitive data, and Virtual Private Snowflake for a completely isolated environment.

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
Snowflake: Does Snowflake publish a per credit price?

Not on its pricing options page. Snowflake directs buyers to its Credit Consumption Table and a pricing calculator for the rates, which vary by edition, region and cloud provider.

Source
Share

Related pages

More on AWS SageMaker

More on Snowflake

Keep looking

Other head to heads