SAS ViyaSAS
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SCIKIQSCIKIQ
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About
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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About
SCIKIQ is an enterprise data fabric and AI platform that moves organizations from fragmented data to production-ready AI.
AI is only as good as the meaning behind the data. SCIKIQ builds that foundation with data semantics, ontologies, and knowledge graphs, connecting data integration, data quality, data governance, and master data management into a unified data fabric that gives AI true business context.
167+ pre-built connectors including SAP, Snowflake, Oracle, and Kafka.
No migration. Cloud-agnostic. Live in 30–90 days, Fastest ROI
Built on a semantic layer with data catalog, data lineage, ETL, and agentic AI,
SCIKIQ brings conversational analytics and self-service business intelligence to business teams , while data teams keep full governance and control.
Recognized by Forrester as a Top 34 AI Platform globally. NASSCOM League of 10. YourStory Tech30.
Trusted by category leaders in banking, financial services, retail, manufacturing, and supply chain & Logistics.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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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
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Audience
Enterprises in BFSI, manufacturing, Logistics, retail, and healthcare with fragmented data across multiple systems. Built for CDOs, data leaders, and architects who need governed, AI-ready data without rip-and-replace migration
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationSAS
Founded: 1976
United States
www.sas.com/en_us/software/viya.html
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Company InformationSCIKIQ
Founded: 2023
India
scikiq.com
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Categories |
Categories |
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Big Data Features
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Governance Features
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Data Mining Features
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Data Quality Features
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Business Intelligence Features
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics
Catalog Management Features
Catalog Creation
Content Library
Content Management
Cross Selling Functionality
Custom Product Attributes
Customizable Catalogs
Desktop Publishing
Pricing Management
Product Comparison
Search
Data Discovery Features
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Management Features
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
ETL Features
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Integration Features
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
Master Data Management Features
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization
PIM Features
Content Syndication
Data Modeling
Data Quality Control
Digital Asset Management
Documentation Management
Master Record Management
Version Control
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Integrations
Amazon S3
Apache Kafka
Azure Marketplace
Hadoop
IBM Db2
JMP Statistical Software
Microsoft Azure
Microsoft Excel
Model Context Protocol (MCP)
MySQL
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Integrations
Amazon S3
Apache Kafka
Azure Marketplace
Hadoop
IBM Db2
JMP Statistical Software
Microsoft Azure
Microsoft Excel
Model Context Protocol (MCP)
MySQL
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