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About SAS Viya

SAS Viya is a cloud-based analytics platform from SAS Institute designed for rapid AI and analytics. It provides faster data integration, effective model development, and reduced cloud costs so organizations can use their data more efficiently. Designed to overcome the complexities of data and AI development, SAS Viya allows users to manage data, explore insights, and build models with ease. The platform features an open architecture that supports various programming languages and integrates with different data sources. Users can access capable analytics tools while benefiting from a collaborative environment. Key capabilities: Data Management Model Development Visualization Tools Integration Support Programming Language Flexibility Best for: Data analysts and data scientists that need to simplify their analytics workflows and AI initiatives.

SAS Viya Details

Vendor
SAS Institute
Year Launched
1976
Location
100 SAS Campus Drive, Cary, NC 27513, USA
Deployment
cloud, on premise, windows, linux
Training Options
documentation, videos, live online, in person
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Dutch, Portuguese, Japanese, Chinese, Korean, Russian, Arabic.
Users
Large enterprises, Data scientists, Analysts, Academic institutions
Industries Served
Financial Services, Healthcare, Retail, Manufacturing, Government, Education
Tags
AI, Machine Learning, Data Analytics, Cloud Computing, Data Management

SAS Viya's In-App Market Place

Does SAS Viya have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), CNY (¥), INR (₹), RUB (₽)

Pros & Cons

  • Comprehensive Analytics Capabilities: Offers a wide range of analytical tools, including data wrangling, statistical analysis, machine learning, and data visualization.
  • Ease of Use: Many reviewers noted the user-friendly interface, especially for those without extensive coding experience. The drag-and-drop functionality simplifies the creation of data pipelines and models.
  • Scalability: Handles large datasets and complex analyses effectively.
  • Integration Capabilities: Seamlessly integrates with various data sources and other enterprise systems.
  • Machine Learning Capabilities: Provides robust machine learning features, including automated model building and deployment.
  • Industry-Specific Applications: Well-suited for various industries, including pharmaceuticals, finance, and more.
  • Strong Community and Support: Benefits from a large and active user community, as well as robust support from SAS.
  • Limited Customization: While offering a wide range of features, some users noted that customization options can be limited for specific use cases.
  • Performance Issues: A few reviewers reported occasional performance issues, such as slow processing or crashes.
  • Steep Learning Curve: While the interface is generally user-friendly, mastering advanced features may require significant training and experience.
  • Deployment Complexity: The process of deploying models to production can be complex and time-consuming.
  • Limited Open-Source Integration: While SAS Viya has improved its integration with open-source tools, some users may prefer a more open and flexible platform.

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