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 by SAS Institute is a cutting-edge, cloud-native analytics platform designed to meet the growing demands of modern businesses for advanced data processing, analytics, and AI capabilities. Renowned for its scalability and performance, SAS Viya delivers a complete suite of tools for data manipulation, exploration, and model deployment, making it an indispensable tool for organizations seeking to harness the power of their data. Key features include rapid data processing, advanced AI integration, and seamless orchestration of analytics activities across various organizational levels. With its open architecture and ability to handle massive datasets, SAS Viya proves to be a robust solution tailored to today’s complex analytical challenges. The **user interface** of SAS Viya strikes a fine balance between simplicity and functionality, catering to both beginners and experienced data professionals. The platform offers a clean, intuitive layout featuring drag-and-drop functionality, ensuring ease of use for those new to analytics tools. Meanwhile, advanced users benefit from customizable workspaces and a suite of interactive dashboards that provide real-time data visualization and immediate insights.
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.
Features
Key features
- 1. Unified Platform
- A single platform for the entire data and AI lifecycle.
- 2. Rapid Data Preparation
- Automated ETL processes for efficient data management.
- 3. Accelerated Model Development
- Pre-built model templates and automated model optimization.
- 4. Scalable and Performant
- Handles large datasets and complex models with ease.
- 5. Low-Code/No-Code
- User-friendly interface for business analysts and citizen data scientists.
- 6. Explainable AI
- Provides transparency and interpretability of models.
- 7. MLOps Integration
- Seamless deployment and monitoring of models.
- 8. Cloud-Native Architecture
- Flexible deployment options on-premises or in the cloud.
Additional features
- 1. Data Ingestion
- Seamless integration with various data sources.
- 2. Data Quality
- Automated data cleaning and validation.
- 3. Data Integration
- Powerful data blending and transformation capabilities.
- 4. Data Lineage
- Tracking data origins and transformations.
- 5. Interactive Visualizations
- Create engaging charts and dashboards.
- 6. Self-Service Analytics
- Empower business users to analyze data independently.
- 7. Data Discovery
- Uncover hidden insights through advanced analytics.
- 8. Model Development
- Build predictive models using various algorithms.
- 9. Model Deployment
- Deploy models into production environments.
- 10. Model Monitoring
- Track model performance and retrain as needed.
- 11. Automated Machine Learning
- Accelerate model development with automated feature engineering and model selection.
- 12. Time Series Forecasting
- Predict future trends and patterns.
- 13. Text Analytics
- Extract insights from unstructured text data.
- 14. Optimization
- Find optimal solutions to complex problems.
- 15. Decision Management
- Implement decision rules and policies.
- 16. Model Governance
- Ensure model quality and compliance.
- 17. Model Registry
- Centralize model management and version control.
- 18. Model Deployment
- Deploy models to various environments.
- 19. Model Monitoring
- Track model performance and identify issues.
- 20. Scalability
- Easily scale resources to meet changing demands.
- 21. Flexibility
- Deploy on-premises or in the cloud.
- 22. Security
- Robust security features to protect sensitive data.
- 23. Explainable AI
- Understand model decisions and biases.
- 24. Fair AI
- Mitigate bias and ensure fairness in model outcomes.
- 25. Transparent AI
- Track model development and deployment.
Pricing
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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
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
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.
SAS Viya's Support Options
Email Address
support@sas.comContact
+1-800-727-0025Documentation
https://support.sas.com/en/documentation.htmlCommunity Forums
https://communities.sas.com/Chatbot
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