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What is SAS Viya?
SAS Viya is a comprehensive cloud-native data and AI platform that helps organizations unify analytics, artificial intelligence, data management, and governance within a single connected environment. The platform is built to support the complete data-to-decision lifecycle, allowing businesses to access, manage, analyze, deploy, and govern data-driven insights at enterprise scale. SAS Viya enables organizations to connect to data from multiple sources while maintaining transparency, auditability, lineage tracking, and compliance throughout AI and analytics workflows. Businesses can build, validate, and operationalize machine learning and AI models faster while ensuring fairness, explainability, and responsible governance practices. The platform also includes the SAS Viya MCP Server, which allows AI agents and copilots to securely leverage SAS capabilities for automated and intelligent decision-making. SAS Viya supports flexible deployment options across cloud, hybrid, and on-premises environments, giving organizations greater control over infrastructure and security requirements. The platform is designed to simplify complex workflows and improve collaboration between data scientists, analysts, developers, and business teams. SAS Viya accelerates productivity by streamlining model training, analytics deployment, and operational decision processes within one scalable ecosystem. Organizations across banking, healthcare, life sciences, government, and manufacturing use SAS Viya for applications such as fraud detection, forecasting, customer intelligence, inventory optimization, and clinical trial analytics. The platform also delivers advanced governance capabilities that help businesses maintain policy enforcement, legal defensibility, and regulatory compliance across the AI lifecycle. With built-in automation, extensive analytics functionality, and enterprise-grade governance, SAS Viya helps organizations turn data into trusted and actionable business outcomes.
What is SAS Grid Manager?
SAS Grid Manager provides organizations with a competitive edge by improving computing capabilities and effectively managing peak demands in a budget-friendly way through a flexible, centrally managed grid computing framework. This innovative system enables IT departments to responsively fulfill service level agreements by reallocating computing resources to accommodate high-demand tasks or evolving business needs, all while keeping centralized oversight of policies, programs, queues, and job prioritization for various users and applications. Within a grid infrastructure that connects multiple servers, tasks can be executed on the most appropriate available resource, guaranteeing that if one server experiences a problem, tasks can quickly switch to another server without any interruption. IT staff can perform maintenance on specific servers or increase computing resources without disrupting ongoing analytics processes or business activities. Moreover, SAS Grid Manager broadens support for diverse analytics environments by adeptly managing jobs not only in SAS but across various programming languages, which accelerates the execution of analytical tasks. This functionality greatly enhances productivity and ensures that analytics workflows run smoothly, significantly reinforcing an organization’s operational effectiveness. Furthermore, the flexibility and resilience of SAS Grid Manager empower organizations to scale their operations seamlessly as their analytical needs evolve over time.
Integrations Supported
Amazon Web Services (AWS)
Azure Marketplace
GitHub
Google Cloud Platform
JMP Statistical Software
Microsoft Azure
Model Context Protocol (MCP)
OpenMetadata
Red Hat OpenShift
SAS Analytics Pro
Integrations Supported
Amazon Web Services (AWS)
Azure Marketplace
GitHub
Google Cloud Platform
JMP Statistical Software
Microsoft Azure
Model Context Protocol (MCP)
OpenMetadata
Red Hat OpenShift
SAS Analytics Pro
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
SAS
Date Founded
1976
Company Location
United States
Company Website
www.sas.com/en_us/software/viya.html
Company Facts
Organization Name
SAS
Date Founded
1976
Company Location
United States
Company Website
www.sas.com/en_us/software/grid-manager.html
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Data Lineage
Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View
Data Mining
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization