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Machine Learning & Data Science · head to head

Amazon Redshift ML vs Snowflake

Amazon Redshift ML logo

Amazon Redshift ML

Machine Learning & Data Science

Create machine learning models using SQL

From
Free
Rated
-
Full reviewWebsite
Snowflake logo

Snowflake

Machine Learning & Data Science

The AI Data Cloud for enterprise data warehousing

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Amazon Redshift ML free tier covers only two CREATE MODEL requests per month for two months, capped at 100,000 cells per request; beyond that training is metered at $20 per million cells for the first 10 million, dropping in tiers to $7 per million cells over 100 million; 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: Amazon Redshift ML covers SQL-based ML, Snowflake covers Separated Compute/Storage.

Where they differ

Only the attributes on which Amazon Redshift ML and Snowflake actually diverge.

Attributes where Amazon Redshift ML and Snowflake differ
AttributeAmazon Redshift MLSnowflake
Pricing modelusage-basedUnknown
PlatformsWebWeb, API
Founded20062012

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning & Data Science).

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 Amazon Redshift ML

  • SQL-based ML
  • AutoML
  • SageMaker integration
  • BYOM support
  • In-database predictions
  • Amazon Redshift
  • SageMaker
  • S3

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.

Amazon Redshift ML

  • Training and running machine learning models directly from SQL inside Amazon Redshiftnot Snowflake

Snowflake

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

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Amazon Redshift ML

  • Free tier covers only two CREATE MODEL requests per month for two months, capped at 100,000 cells per request; beyond that training is metered at $20 per million cells for the first 10 million, dropping in tiers to $7 per million cells over 100 million

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

Amazon Redshift ML

Free
  • Free TrialFree
    • 2-month trial
    • 750 DC2.Large hours
  • On-Demand$0.25/hour
    • Per-node pricing
    • SageMaker training

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 Amazon Redshift ML if

  • You need sql-based ml.
  • You want to start without paying.
  • You also want automl.
Amazon Redshift ML 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 Amazon Redshift ML or Snowflake better?
Neither clearly leads. Amazon Redshift ML 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, Amazon Redshift ML or Snowflake?
Amazon Redshift ML starts at Free and Snowflake at Free.
Does Amazon Redshift ML or Snowflake run on more platforms?
Amazon Redshift ML runs on Web. Snowflake runs on Web, API.
Can I use Amazon Redshift ML for free?
Both have a free tier, so you can try either at no cost before committing.
What is Amazon Redshift ML best used for?
Amazon Redshift ML is most often used for training and running machine learning models directly from sql inside amazon redshift. Of those, training and running machine learning models directly from sql inside amazon redshift is not what Snowflake is typically brought in for.
What can Amazon Redshift ML do that Snowflake cannot?
Amazon Redshift ML covers SQL-based ML, AutoML, SageMaker integration, BYOM support. Snowflake covers Separated Compute/Storage, Near-zero Maintenance, Data Sharing, Time Travel. Both handle Web support.
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