About SAS

SAS develops analytics software including SAS Viya, a cloud-native platform for data management, machine learning and decisioning. It is long established in regulated industries such as banking, insurance and life sciences.

Common use cases

  • Fraud detection
  • Credit risk modeling
  • Clinical analytics
  • Forecasting

Social listening

What people are saying about SAS

A review site credits SAS for governance and multi-cloud flexibility, and buyers typically plan for a sales-led pricing process, onboarding time and SAS9 migration.

What stands out

  • Governance tools for explainability and bias checks suit regulated industries.
  • Works with Python, R and REST alongside existing SAS code and runs on major clouds or on-premises.

Things to consider

  • Pricing is not published, so ask for a scoped quote through the sales process.
  • Teams without SAS experience typically plan for onboarding time and should compare the interface with their developers' preferred tools.
  • Plan for migration effort when moving from SAS9, and consider the size of the community.

Often compared with: Databricks, DataRobot, H2O.ai

Sources (1)

Themes summarized from public reviews, community discussion and press coverage as of November 2026. They reflect public discussion, not a rating or an endorsement by AI Connect.

Products and services

SAS Viya

Analytics and AI platform.

SAS Intelligent Decisioning

Decision automation.

SAS Visual Analytics

Reporting and exploration.

Pricing and editions. Enterprise pricing is not published.

Key features

  • Machine learning
  • Model management
  • Decisioning
  • Data preparation
  • Visual analytics

Integrations

  • Microsoft Azure
  • AWS
  • Google Cloud
  • Python
  • R
  • Snowflake

SAS alternatives

FAQs

What is SAS Viya?

SAS's cloud-native analytics and AI platform.

Is SAS public?

No, it is privately held.

Does it support open source languages?

Yes, Python and R integration.

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