SAS Viya vs Azure Machine Learning

SAS Viya9.4Visit Azure Machine Learning9.0Visit

Higher score SAS Viya #1 in Predictive Analytics Software 9.4/10 Pricing on request · 14-day trial Free trial✓ 5 of 5 features Visit SAS Viya

vs

Azure Machine Learning #3 in Predictive Analytics Software 9.0/10 Paid ✓ 5 of 5 features Visit Azure ML

• SAS Viya fits best

  Governed enterprise analytics and decisioning

• Azure Machine Learning fits best

  Azure users building managed ML pipelines

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Side by side

Feature	SAS Viya 9.4/10 Visit ↗	Azure Machine Learning 9.0/10 Visit ↗
At a glance
Editor score	9.4	9.0
Ranking	#1 in Predictive Analytics Software	#3 in Predictive Analytics Software
Best for	Governed enterprise analytics and decisioning	Azure users building managed ML pipelines
Pricing model	Paid	Paid
Starting price	Pricing on request · 14-day trial	—
Free plan	—	—
Free trial	14 days	—
Deployment	Cloud, Self-hosted	Cloud
Platforms	Web	Web
Support	Email, Live chat, Phone, Tickets, Community, Docs	Docs
Integrations	18 integrations	6 integrations
Built for	Enterprise, Mid-market	Mid-market, Enterprise
Features SAS Viya 5/5 · Azure Machine Learning 5/5
Forecasting workflows	✓	✓
Model evaluation	✓	✓
Automated machine learning	✓	✓
Time-series modeling	✓	✓
API access	✓	✓
Specs
Deployment mode	Batch_and_real-time	Batch_and_real-time
Data connectors	Not checked yet	3
Our review
Pros	Broad modeling, forecasting, governance, and deployment coverage Supports batch and real-time decisioning across cloud, on-premises, and edge Python, R, Java, REST APIs, and major cloud and data platforms	Automated ML, forecasting, evaluation, and time-series inference Supports reusable pipelines, batch endpoints, and real-time HTTPS endpoints MLOps features cover monitoring, retraining, and redeployment
Cons	Pricing requires a contact-sales process There is no free plan Its breadth is geared toward enterprise-scale analytics programs	Compute and other consumed Azure resources are billed separately Verified integrations are concentrated across the Azure ecosystem Snowflake and Amazon S3 preview connections are scheduled for retirement
Our verdict	SAS Viya is a unified data and AI platform for organizations that need to connect data, develop predictive models, and operationalize decisions. It supports visual and code-based statistical modeling, machine learning, automated machine… Read the review →	Azure Machine Learning is a cloud service for data scientists, machine-learning professionals, and engineers managing the model lifecycle. It covers model development, automated machine learning, training jobs, reusable pipelines,… Read the review →

Strengths and trade-offs

• SAS Viya — where it wins

  • Broad modeling, forecasting, governance, and deployment coverage
  • Supports batch and real-time decisioning across cloud, on-premises, and edge
  • Python, R, Java, REST APIs, and major cloud and data platforms

  Where it doesn't

  • Pricing requires a contact-sales process
  • There is no free plan
  • Its breadth is geared toward enterprise-scale analytics programs

• Azure Machine Learning — where it wins

  • Automated ML, forecasting, evaluation, and time-series inference
  • Supports reusable pipelines, batch endpoints, and real-time HTTPS endpoints
  • MLOps features cover monitoring, retraining, and redeployment

  Where it doesn't

  • Compute and other consumed Azure resources are billed separately
  • Verified integrations are concentrated across the Azure ecosystem
  • Snowflake and Amazon S3 preview connections are scheduled for retirement

• SAS Viya9.4/10 · Pricing on request · 14-day trial

  A broad, governed analytics platform for operational predictive decisioning.

  Visit SAS ViyaFull verdict →
• Azure Machine Learning9.0/10 · Paid

  A broad managed ML lifecycle service, particularly suited to teams already working in Azure.

  Visit Azure MLFull verdict →