Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Multi-cloud data security with a single pane of glass Industry's first SaaS access governance solution. Cloud is fragmented and data is scattered across different systems. Sensitive data is difficult to access and control due to limited visibility. Complex data onboarding hinders data scientist productivity. Data governance across services can be manual and fragmented. It can be time-consuming to securely move data to the cloud. Maximize visibility and assess the risk of sensitive data distributed across multiple cloud service providers. One system that enables you to manage multiple cloud services' data policies in a single place. Support RTBF, GDPR and other compliance requests across multiple cloud service providers. Securely move data to the cloud and enable Apache Ranger compliance policies. It is easier and quicker to transform sensitive data across multiple cloud databases and analytical platforms using one integrated system.
Description
SAS Viya is an advanced cloud-native data and AI platform designed to help organizations manage data, develop AI models, and operationalize analytics from one unified environment. The platform combines data access, machine learning, analytics, governance, and decision deployment into a scalable system built for enterprise use. SAS Viya enables businesses to connect to data across multiple sources while maintaining transparency, lineage, governance, and auditability throughout the AI lifecycle. Organizations can use the platform to accelerate model development, streamline workflows, and deploy trusted AI solutions faster and more efficiently. The platform includes built-in governance features that support fairness, explainability, compliance, and responsible AI practices across teams and business processes. SAS Viya also supports secure AI agent integration through the SAS Viya MCP Server, allowing AI-driven tools and copilots to interact with enterprise workflows responsibly. Businesses can deploy the platform in cloud, hybrid, or on-premises environments based on operational and security requirements. SAS Viya is used across industries for applications such as fraud detection, healthcare analytics, forecasting, customer intelligence, and AI model operationalization. The platform is designed to improve productivity by simplifying complex AI workflows and enabling collaboration between data scientists, analysts, and business users. Backed by decades of analytics expertise, SAS Viya helps organizations transform raw data into transparent and actionable business decisions at scale.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Amazon Web Services (AWS)
Yes
Microsoft Azure
Yes
AWS Glue
Yes
Alation
Yes
Amazon S3
Yes
Azure Data Lake
Yes
Azure Marketplace
No
Dremio
Yes
GitHub
No
Google Cloud BigQuery
Yes
Integrations
Amazon Web Services (AWS)
Yes
Microsoft Azure
Yes
AWS Glue
No
Alation
No
Amazon S3
No
Azure Data Lake
No
Azure Marketplace
Yes
Dremio
No
GitHub
Yes
Google Cloud BigQuery
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Privacera
Founded
2016
Country
United States
Website
privacera.com
Vendor Details
Company Name
SAS
Founded
1976
Country
United States
Website
www.sas.com/en_us/software/viya.html
Product Features
Big Data
Collaboration
Yes
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
Yes
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Cloud Management
Access Control
Yes
Billing & Provisioning
No
Capacity Analytics
No
Cost Management
No
Demand Monitoring
No
Multi-Cloud Management
Yes
Performance Analytics
No
SLA Management
No
Supply Monitoring
No
Workflow Approval
No
Cloud Security
Antivirus
No
Application Security
No
Behavioral Analytics
No
Encryption
Yes
Endpoint Management
No
Incident Management
No
Intrusion Detection System
No
Threat Intelligence
No
Two-Factor Authentication
No
Vulnerability Management
No
Compliance
Archiving & Retention
No
Artificial Intelligence (AI)
No
Audit Management
Yes
Compliance Tracking
Yes
Controls Testing
No
Environmental Compliance
No
FDA Compliance
No
HIPAA Compliance
Yes
ISO Compliance
No
Incident Management
No
OSHA Compliance
No
Risk Management
No
Sarbanes-Oxley Compliance
No
Surveys & Feedback
No
Version Control
No
Workflow / Process Automation
Yes
Data Discovery
Contextual Search
Yes
Data Classification
Yes
Data Matching
No
False Positives Reduction
No
Self Service Data Preparation
No
Sensitive Data Identification
Yes
Visual Analytics
No
Data Governance
Access Control
Yes
Data Discovery
Yes
Data Mapping
Yes
Data Profiling
Yes
Deletion Management
No
Email Management
No
Policy Management
Yes
Process Management
No
Roles Management
Yes
Storage Management
No
Data Lineage
Database Change Impact Analysis
No
Filter Lineage Links
No
Implicit Connection Discovery
No
Lineage Object Filtering
No
Object Lineage Tracing
No
Point-in-Time Visibility
No
User/Client/Target Connection Visibility
No
Visual & Text Lineage View
Yes
Data Management
Customer Data
Yes
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
Yes
Data Quality Control
No
Data Security
Yes
Information Governance
Yes
Master Data Management
No
Match & Merge
No
Data Privacy Management
Access Control
Yes
CCPA Compliance
Yes
Consent Management
Yes
Data Mapping
Yes
GDPR Compliance
Yes
Incident Management
No
PIA / DPIA
No
Policy Management
Yes
Risk Management
No
Sensitive Data Identification
Yes
Data Security
Alerts / Notifications
Yes
Antivirus/Malware Detection
No
At-Risk Analysis
No
Audits
Yes
Data Center Security
No
Data Classification
Yes
Data Discovery
Yes
Data Loss Prevention
No
Data Masking
Yes
Data-Centric Security
Yes
Database Security
Yes
Encryption
Yes
Identity / Access Management
Yes
Logging / Reporting
Yes
Mobile Data Security
No
Monitor Abnormalities
No
Policy Management
Yes
Secure Data Transport
No
Sensitive Data Compliance
Yes
Data Visualization
Analytics
No
Content Management
No
Dashboard Creation
Yes
Filtered Views
Yes
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
Yes
Encryption
Central Policy Enforcement
No
Drag & Drop UI
No
Email Encryption
No
Encryption Key Management
Yes
Endpoint Encryption
No
File Compression
No
File Encryption
Yes
Full Disk Encryption
No
Public Key Cryptography
Yes
Tokenization / Data Masking
Yes
GDPR Compliance
Access Control
Yes
Consent Management
Yes
Data Mapping
No
Incident Management
No
PIA / DPIA
No
Policy Management
Yes
Risk Management
No
Sensitive Data Identification
Yes
HIPAA Compliance
Access Control / Permissions
Yes
Audit Management
Yes
Compliance Reporting
Yes
Data Security
Yes
Documentation Management
No
For Healthcare
No
Incident Management
No
Policy Training
No
Remediation Management
No
Risk Management
No
Vendor Management
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
Yes
Predictive Modeling
No
Statistical / Mathematical Tools
Yes
Templates
No
Visualization
No
Policy Management
Approval Process Control
Yes
Attestation
No
Audit Trails
Yes
Policy Creation
Yes
Policy Library
Yes
Policy Metadata Management
No
Policy Training
No
Reporting / Analytics
Yes
Version Control
No
Workflow Management
Yes
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Data Governance
Access Control
No
Data Discovery
No
Data Mapping
No
Data Profiling
No
Deletion Management
No
Email Management
No
Policy Management
No
Process Management
No
Roles Management
No
Storage Management
No
Data Lineage
Database Change Impact Analysis
No
Filter Lineage Links
No
Implicit Connection Discovery
No
Lineage Object Filtering
No
Object Lineage Tracing
No
Point-in-Time Visibility
No
User/Client/Target Connection Visibility
No
Visual & Text Lineage View
No
Data Mining
Data Extraction
No
Data Visualization
No
Fraud Detection
No
Linked Data Management
No
Machine Learning
No
Predictive Modeling
No
Semantic Search
No
Statistical Analysis
No
Text Mining
No
Data Quality
Address Validation
No
Data Deduplication
No
Data Discovery
No
Data Profililng
No
Master Data Management
No
Match & Merge
No
Metadata Management
No
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Predictive Analytics
AI / Machine Learning
No
Benchmarking
No
Data Blending
No
Data Mining
No
Demand Forecasting
No
For Education
No
For Healthcare
No
Modeling & Simulation
No
Sentiment Analysis
No
Statistical Analysis
Analytics
No
Association Discovery
No
Compliance Tracking
No
File Management
No
File Storage
No
Forecasting
No
Multivariate Analysis
No
Regression Analysis
No
Statistical Process Control
No
Statistical Simulation
No
Survival Analysis
No
Time Series
No
Visualization
No