What are the benefits of SAS® Viya® data management?
SAS Viya helps you manage data more effectively by automating pipelines, enforcing governance and improving data quality. These capabilities ensure that data is trustworthy, transparent and ready for analytics and AI – reducing costs, speeding decisions and strengthening compliance in cloud and hybrid environments.
AI-ready data
Turn raw data into governed, trusted assets for reliable AI and analytics.
Faster outcomes
Automate data preparation and simplify analytics pipelines.
Built-in governance
Enforce compliance and track lineage with embedded policies.
Data quality at scale
Continuously monitor, score and improve accuracy and consistency.
Trust & transparency
Build confidence with ongoing data observability.
How does SAS Viya solve common data management challenges?
Data integration
Challenge:
Siloed, duplicated data slows insights and inflates costs.
Solution:
SAS Viya unifies data across clouds, systems and formats without unnecessary movement, which reduces duplication, accelerates insights and lowers infrastructure costs. By connecting data seamlessly, you can overcome silos and achieve a single, trusted view of your information.
Data quality
Challenge:
Inaccurate or incomplete data undermines trust and decision making.
Solution:
SAS Viya continuously monitors, scores and improves data for accuracy, completeness and consistency. Automated processes identify and correct errors at scale, ensuring that analytics and AI models are always built on reliable, trustworthy data.
Data governance
Challenge:
Regulatory complexity makes data management burdensome, slowing collaboration and innovation.
Solution:
With built-in governance policies, data lineage tracking and embedded compliance, SAS Viya reduces regulatory risk. Governance becomes part of everyday workflows, enabling you to collaborate securely while maintaining transparency and trust across both data and AI models.
DataOps
Challenge:
Manual, fragmented processes slow down data pipelines.
Solution:
SAS Viya automates and orchestrates data workflows to eliminate manual, fragmented processes. This speeds pipeline delivery, reduces errors and frees data teams to focus on higher-value tasks – improving agility and accelerating insights across the business.
Data for AI
Challenge:
AI fails when built on untrustworthy data.
Solution:
SAS Viya governs and monitors data pipelines so AI models are trained and deployed on high-quality, transparent data. This ensures trustworthy outcomes and prevents AI failure caused by unreliable or incomplete information.
Data fabric
Challenge:
Hybrid and multicloud environments complicate unified data views.
Solution:
SAS Viya provides an intelligent data fabric that integrates data across hybrid and multicloud environments. This unified approach makes data instantly available for analytics and AI, without added complexity or unnecessary cost.
Open data architecture
Challenge:
Closed systems limit flexibility and innovation.
Solution:
SAS Viya uses open standards to integrate seamlessly with modern ecosystems. Whether working with Snowflake, Databricks, Python or Postgres, organizations gain the flexibility to extend, adapt and innovate without being locked into closed systems.
Data lakehouse
Challenge:
Disparate storage and compute layers add complexity and cost.
SAS Viya integrates seamlessly with modern data lakehouse platforms like Databricks, Snowflake and Azure OneLake. It simplifies large-scale data management, streamlines analytics and improves performance across cloud and hybrid environments – reducing complexity while keeping data AI-ready.
Data performance
Challenge:
Slow, inefficient data pipelines reduce AI and analytics speed, driving up cloud costs.
Solution:
SAS Viya boosts performance by processing data where it resides, reducing unnecessary movement. Optimized ingestion, preparation and model execution deliver faster insights, more responsive AI and lower compute costs – at enterprise scale.
How does SAS Viya integrate with my data stack?
SAS Viya connects to cloud, hybrid and on-premises environments, allowing data teams to access, prepare and govern data wherever it resides. Open standards and composable architecture make integration with modern tools and platforms simple, enabling you to extend, adapt and innovate without being locked into closed systems.
Why do more than 80,000 organizations rely on SAS to manage their data?
What are the core components of SAS Viya data management?
SAS Viya unifies all the tools your data teams need in one platform. From connecting and preparing data to managing quality, governance and AI-ready data sets, its open and composable architecture simplifies the data and AI life cycle – reducing complexity, accelerating insights and supporting integration with modern cloud and on-premises environments.
Scalable database
SAS SpeedyStore
Adopt a high-performance, cloud-native database designed for analytics at scale.
Processing acceleration
SAS In-Database Technologies
Push SAS analytics directly inside databases to speed performance and reduce costs.
Synthetic data generation
SAS Data Maker
Create realistic, privacy-compliant synthetic data for testing, training and trustworthy AI.
How to modernize your SAS®9 workflows without starting over
Still using SAS Data Integration Studio or SAS® Enterprise Guide®?
Modernize with confidence on our cloud-native SAS Viya platform, which brings trusted SAS capabilities into a modern, scalable environment without disrupting your existing workflows. Migration is straightforward and low-risk, with automated tools, open integrations and full support for your current SAS code. Modernize at your pace, cut infrastructure costs and accelerate performance while keeping data secure, governed and AI-ready.
Cloud-native scalability
Handle growing data volumes with elastic infrastructure.
Seamless migration
Automated tools and expert guidance simplify the transition.
Open integrations
Connect to modern platforms across cloud, hybrid and on-premises systems.
Cost optimization
Reduce infrastructure expenses while improving analytics performance.
Data & AI readiness
Maintain high-quality, governed and trustworthy data for AI initiatives.
SAS Data Management frequently asked questions
What is SAS Viya Data Management?
SAS Viya Data Management is a cloud-native platform that connects, prepares, governs and scales data across hybrid and multicloud environments. It turns raw data into trusted, AI-ready assets with automation, governance and built-in performance, enabling faster insights, reliable analytics and confident decision making.
Can SAS Viya integrate with existing data tools and platforms?
Yes. SAS Viya uses open standards to connect with modern platforms such as Snowflake, Databricks, Postgres and Python. Its composable architecture allows teams to extend, adapt and innovate without being locked into closed systems.
What makes SAS Viya different from other data management platforms?
Unlike point tools, SAS Viya combines data integration, quality, governance and AI readiness in one unified platform. Its open, composable architecture supports modern data fabrics and lakehouses while integrating seamlessly with cloud, hybrid and on-premises systems.
How does SAS Viya improve data quality and trust?
SAS Viya continuously monitors, scores and improves data accuracy, completeness and consistency. Embedded governance and automated workflows ensure that data used for analytics and AI is reliable, transparent and compliant.
Does SAS Viya support hybrid and multicloud environments?
Yes. SAS Viya integrates data across cloud, hybrid and on-premises environments, optimizing access, reducing costs and keeping data analytics and AI ready without adding complexity.
Why should I modernize from SAS®9 to SAS Viya?
Modernizing to SAS Viya provides cloud-native scalability, automated migration tools and open integrations while supporting your existing SAS code. You can reduce infrastructure costs, accelerate analytics performance and maintain high-quality, governed, AI-ready data throughout the transition.
How does SAS Viya support AI initiatives?
SAS Viya prepares, governs and monitors data pipelines to ensure AI models are trained and deployed on trustworthy, high-quality data. Automation, governance and observability build confidence in AI outcomes while reducing errors caused by unreliable or siloed data.
Which industries rely on SAS Viya for data management?
Over 80,000 organizations worldwide – including leaders in government, health care, financial services, manufacturing and education – use SAS Viya to manage data and deliver AI-ready insights at scale. Its flexible platform supports diverse environments and regulatory requirements.
How can SAS Viya help reduce costs while managing data at scale?
The cloud-native platform of SAS Viya minimizes infrastructure expenses by optimizing storage and compute, automating workflows and reducing manual processes. Organizations gain faster insights with lower costs while maintaining AI-ready, governed data pipelines.