Built for innovative results from analytics
Machine Learning Solution
SAS® Viya™ is an AI, analytics, and data management platform running on a scalable, cloud-native architecture.
It is designed to transform raw data into operational insights and supports
all kinds of decisions your organization makes
How companies can accelerate smart decision
making by meeting analytical needs and delivering results quickly
• Ultra-fast processing for data preparation, navigation, and advanced analytics
• Integrated environment that makes it easy to manage/maintain and maintain governance
• Dynamic architecture that scales to grow or shrink as needed, as well as leverage a variety of infrastructures
• Self-service access to comprehensive analytics solutions, regardless of data type or size
SAS® Viya™ is a cloud-driven, open-in-memory architecture with everything
you need to get fast and accurate analytics at any time.
SAS® Viya™ features.
• Cloud-based, state-of-the-art analytics architecture developed by leading analytics players
• One open governance analytics environment that integrates both SAS and other programming languages using a standardized code base
• The only platform that supports both public and private clouds and can scale
Why SAS® Viya™?
Learn more about SAS Viya.
An easily recognizable analytics platform across any infrastructure
A cloud-based platform designed to take advantage of resilient processes from different cloud providers, enabling you to meet your current and changing needs.
It can be deployed in a private cloud, public cloud, or on its own hardware.
Suitable for all investment requirements.
Features and usage-based options are available for personal analytics, full enterprise subscription, or a combination of the two.
Add compute memory as needed to address demanding analysis workload processing requirements, and automatically utilize disk space to work nondisruptively in memory-constrained environments.
Suitable for problems of any size.
A burst processing platform that complies with analysis requirements to accommodate increasing amounts of data, increasing, and varying user and bulk processing times.
Provides one consistent code base, eliminating the need to override, recode, or reconfigure cloud providers, data volumes, or speed requirements if they change.
Designed for Growth
Get started on the fly with fast, automated deployment, update management, and independent microservices. It is also suitable for cloud and operating system deployments.
Self-service access to advanced analytics and data management in a variety of easy-to-use, familiar interfaces and coding environments makes it easy for anyone to take advantage of analytics.
Single, consistent platform
Analytics workload processing and full analytics lifecycle for SAS and other analytics assets
Integrate management (from data management to monitoring results).
Solve growing issues with isolated analysis silos, deployment latency, and low-quality analysis results.
Reduce total cost of ownership by integrating the operation, development, management, and execution of all analysis processes for data, applications, or use cases.
Save valuable decision-making time by eliminating the hassle of connecting unrelated components.
Provides an open platform that supports business agility and ensures data and analytics process traceability throughout the analytics lifecycle.
Integrate SAS and other programming languages into a single base code base to protect your analytics assets from consuming analytical capabilities.
Ensures enterprise governance with complete versioning, storage operations, and change management control from a single central point of management.
Optimize hardware use and protect analytics assets to meet organizational standards for reliability and user access.
Platform that delivers all the performance without complexity
Provides an integrated solution of innovative algorithms and proven analysis methods to explore experimental questions and solve real-world problems.
Robust analysis techniques (machine learning, technical statistics, prediction methods, optimization algorithms, etc.) are available to the user at various interfaces, including programming, scripting, and visualization.
Data and analytics workload tasks are automatically distributed across a single server's core or large compute cluster nodes to take advantage of parallel processing, which is extremely fast.
Deliver breakthrough performance to measure processing in seconds or minutes, not hours.
In-memory data persistence eliminates the need to load data multiple times during repetitive analysis operations.
Provides state-of-the-art ways to automate model comparisons, reduce coding burdens, and generate intellectual property rights for organizations.
Once developed, it can be deployed anywhere.
Easily collaborate, search, and build models.
Multiple users can analyze their data at any point in time and share the results interactively in any way they want.
Easy-to-use, familiar, and diverse interface environments provide access to self-service for advanced analytics, allowing anyone to access easy-to-understand insights now.
Regardless of analysis skills or experience, everyone can solve a wide range of analysis challenges.
Analytical Platform for All
By supporting SAS coding and other language coding, such as Python, Java, and Lua, as well as interfaces, the same and common analysis methods are leveraging broad and deep SAS capabilities open to the entire organization.
Removes barriers associated with data volumes, various coding languages, processing bottlenecks, and complexity of problems.
A web browser allows users to access powerful SAS analytics (via interactive workflows or programmatically) in any language they want.
Use the REST API to easily transfer SAS analysis to user applications.
Provides self-service access to comprehensive analytics of all sizes of data on a single managed and monitored platform.
The analytics team can work in a variety of languages they want, and because all the analytics assets are integrated into a common platform, companies have a single managed architecture.
The native interface to SAS or programming tasks written in other languages (Python, Java, Lua, etc.) all provides the same and reliable analysis methodology, giving data science professionals the choice.
REST APIs, native interfaces to common analytical coding languages, and standard code bases protect your investment decisions and improve productivity.
Use selected language (SAS, Python, Lua, or Java)
Provides fast speed with API features set up through an easy-to-use example app.
Easily access machine learning and cognitive computing with just a few mouse clicks.
SAS® Viya™ Features
04/ SAS® Visual Data Mining and Machine Learning
Any complex business problem can be solved quickly with a single integrated in-memory environment.
02/ SAS® Visual Analytics
Visually explore all your data and discover new patterns. Users can also publish/share reports on the Web or on mobile devices.
Deliver solutions faster than any other situation by applying solutions optimized for complex and diverse business plans and problem situations.
03/ SAS® Event Stream Processing
Real-time big data streaming enables analytics insights to be immediately reflected in corporate decisions.
06/ SAS® Visual Forecasting
Automatically execute predictions based on the wide range of business planning challenges faced by businesses.