Softwr

Software · head to head

Snowflake vs Azure Machine Learning

Snowflake logo

Snowflake

Software

The AI Data Cloud for enterprise data warehousing

From
Free
Rated
-
Full reviewWebsite
Azure Machine Learning logo

Azure Machine Learning

Software

Enterprise-grade machine learning service

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Snowflake no flat subscription price is published - cost varies by edition, cloud provider, and region and requires a separate calculator or credit-consumption table; Azure Machine Learning requires knowledge of Azure ecosystem and integration with other Azure services
  • They diverge on capability: Snowflake covers Separated Compute/Storage, Azure Machine Learning covers Automated ML.

Where they differ

Only the attributes on which Snowflake and Azure Machine Learning actually diverge.

Attributes where Snowflake and Azure Machine Learning differ
AttributeSnowflakeAzure Machine Learning
Pricing modelUnknownusage-based
PlatformsWeb, APIAzure Cloud
Founded20121975

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

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 Snowflake

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

Only in Azure Machine Learning

  • Automated ML
  • Designer (drag-and-drop)
  • Notebooks
  • MLOps
  • Model registry
  • Azure Blob Storage
  • Azure DevOps
  • Power BI

Both cover

  • Web support

What people use each for

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

Snowflake

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

Azure Machine Learning

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

Where each one falls short

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

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

Azure Machine Learning

  • Requires knowledge of Azure ecosystem and integration with other Azure services
  • Compute resources for training and inference generate separate charges

Pricing, plan by plan

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

Azure Machine Learning

Free
  • Free TierFree
    • Limited compute
    • Basic features
  • Pay-as-you-go$0.05/hour
    • Full platform
    • All compute options
    • Enterprise features

Which should you pick?

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

Choose Azure Machine Learning if

  • You need automated ml.
  • You want to start without paying.
  • You work on Azure Cloud.
  • You also want designer (drag-and-drop).
Azure Machine Learning review

Questions people ask

Is Snowflake or Azure Machine Learning better?
Neither clearly leads. Snowflake starts at Free and Azure Machine Learning at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Snowflake or Azure Machine Learning?
Snowflake starts at Free and Azure Machine Learning at Free.
Does Snowflake or Azure Machine Learning run on more platforms?
Snowflake runs on Web, API. Azure Machine Learning runs on Azure Cloud.
Can I use Snowflake for free?
Both have a free tier, so you can try either at no cost before committing.
What is Snowflake best used for?
Snowflake is most often used for cloud data warehousing and sql analytics, data engineering and elt pipelines, data sharing and marketplace, ai/ml workloads via snowpark and cortex. Of those, cloud data warehousing and sql analytics and data engineering and elt pipelines are not what Azure Machine Learning is typically brought in for.
What can Snowflake do that Azure Machine Learning cannot?
Snowflake covers Separated Compute/Storage, Near-zero Maintenance, Data Sharing, Time Travel. Azure Machine Learning covers Automated ML, Designer (drag-and-drop), Notebooks, MLOps. Both handle Web support.

Answered from the vendors’ own pages

Azure Machine Learning: Does Azure Machine Learning have any platform licensing fees?

No, Azure Machine Learning carries no extra cost. You only pay for the underlying compute resources utilized during model training or inference.

Source
Azure Machine Learning: What AutoML capabilities does Azure Machine Learning provide?

Azure Machine Learning supports automated model creation for classification, regression, vision, and natural language processing tasks.

Source
Azure Machine Learning: Does Azure ML support language model fine-tuning?

Yes, Azure Machine Learning supports fine-tuning of foundation models from providers including OpenAI, Meta, Hugging Face, and Cohere.

Source
Azure Machine Learning: What MLOps features are included?

Azure ML includes end-to-end pipeline automation with CI/CD capabilities, managed endpoints for model deployment, and monitoring tools.

Source
Azure Machine Learning: Can I access foundation models from multiple vendors?

Yes, Azure Machine Learning provides access to a model catalog with foundation models from Microsoft, OpenAI, Hugging Face, Meta, and Cohere.

Source
ShareXLinkedInRedditWhatsAppEmail

Related pages

More on Snowflake

More on Azure Machine Learning

Keep looking

Other head to heads