Audience

SAS Viya is designed for enterprises, data scientists, AI teams, healthcare organizations, financial institutions, government agencies, and businesses that require scalable analytics, AI governance, and enterprise data management solutions

About SAS Viya

SAS Viya is a cloud-native data and AI platform that unifies data management, analytics, AI modeling, and governance within a single environment. The platform helps organizations build, validate, deploy, and govern AI models with transparency, fairness, and auditability built into the entire lifecycle. SAS Viya provides seamless access to data across multiple sources and platforms while maintaining governance, lineage tracking, and compliance controls. Businesses can use the platform to accelerate AI model training, improve workflow productivity, and operationalize data-driven decisions at scale. SAS Viya also supports AI agents through the SAS Viya MCP Server, enabling secure integration of AI-powered tools and decision-making processes. The platform is designed to support cloud, hybrid, and on-premises deployments for greater flexibility across enterprise environments.

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Pricing

Free Trial:
Free Trial available.

Integrations

API:
Yes, SAS Viya offers API access
See Integrations

Ratings/Reviews

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Company Information

SAS
Founded: 1976
United States
www.sas.com/en_us/software/viya.html

Videos and Screen Captures

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Product Details

Platforms Supported
Cloud
Windows
Linux
Training
Documentation
Live Online
In Person
Videos
Support
Phone Support
Online

SAS Viya Frequently Asked Questions

Q: What kinds of users and organization types does SAS Viya work with?
Q: What languages does SAS Viya support in their product?
Q: What kind of support options does SAS Viya offer?
Q: What other applications or services does SAS Viya integrate with?
Q: Does SAS Viya have an API?
Q: What type of training does SAS Viya provide?
Q: Does SAS Viya offer a free trial?

SAS Viya Product Features

Big Data

Templates
Data Visualization
Collaboration
Data Blends
Data Cleansing
Data Warehousing
High Volume Processing
Data Mining
No-Code Sandbox
Predictive Analytics

Data Analysis

Data Visualization
Text Analytics
Regression Analysis
Data Discovery
Sentiment Analysis
High Volume Processing
Statistical Modeling
Predictive Analytics

Data Governance

Roles Management
Email Management
Deletion Management
Policy Management
Process Management
Access Control
Data Profiling
Data Discovery
Storage Management
Data Mapping

Data Lineage

Object Lineage Tracing
Point-in-Time Visibility
Lineage Object Filtering
User/Client/Target Connection Visibility
Visual & Text Lineage View
Filter Lineage Links
Implicit Connection Discovery
Database Change Impact Analysis

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Data Quality

Data Deduplication
Match & Merge
Data Profililng
Data Discovery
Address Validation
Master Data Management
Metadata Management

Data Science

Data Ingestion
Data Preparation
Data Visualization
Data Discovery
Advanced Modeling
Model Deployment
Access Control
Audit Logs
Reports

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Templates
Visualization
Statistical / Mathematical Tools

Predictive Analytics

For Education
For Healthcare
Modeling & Simulation
Data Blending
Demand Forecasting
Sentiment Analysis
Data Mining
AI / Machine Learning
Benchmarking

Statistical Analysis

Visualization
Analytics
Multivariate Analysis
Survival Analysis
Regression Analysis
Statistical Process Control
Forecasting
Time Series
File Management
File Storage
Association Discovery
Compliance Tracking
Statistical Simulation