SAS Viya
SAS Viya is a cloud-native data management and analytics platform that helps you build, deploy, and manage artificial intelligence and machine learning models to solve complex business problems efficiently.
Sigma Computing
Sigma Computing is a cloud-native analytics platform that provides a familiar spreadsheet-like interface for exploring, visualizing, and collaborating on live data directly within your cloud data warehouse.
Quick Comparison
| Feature | SAS Viya | Sigma Computing |
|---|---|---|
| Website | sas.com | sigmaanalytics.com |
| Pricing Model | Custom | Custom |
| Starting Price | Custom Pricing | Custom Pricing |
| FREE Trial | ✓ 14 days free trial | ✓ 14 days free trial |
| Free Plan | ✘ No free plan | ✘ No free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 1976 | 2014 |
| Headquarters | Cary, USA | San Francisco, USA |
Overview
SAS Viya
SAS Viya is a cloud-native analytics platform designed to help you manage the entire data lifecycle in one place. You can move from raw data to production-ready AI models using a unified interface that supports both visual drag-and-drop tools and popular programming languages like Python and R. This flexibility allows your data scientists and business analysts to collaborate effectively on the same projects.
The platform handles massive datasets with ease thanks to its distributed, in-memory processing engine. You can deploy it on any cloud provider or on-premises environment to maintain control over your infrastructure. By automating repetitive data preparation and model tuning tasks, you can focus on uncovering insights that drive better business decisions and operational efficiency across your entire organization.
Sigma Computing
Sigma Computing gives you the power of a cloud-scale data warehouse through the familiar interface of a spreadsheet. You can explore billions of rows of live data without writing a single line of SQL or waiting for pre-calculated cubes. This approach allows your entire team to ask and answer their own questions, creating a culture of data-driven decision-making across your organization.
You can build interactive dashboards, perform complex calculations, and join disparate data sources with simple drag-and-drop actions. Because it connects directly to your cloud data warehouse, your information remains secure and always up to date. It is particularly effective for companies using Snowflake, BigQuery, or Databricks who want to democratize data access while maintaining strict governance and security standards.
Overview
SAS Viya Features
- Visual Data Preparation Clean and transform your data using an intuitive visual interface that automatically generates code in the background.
- Automated Machine Learning Build high-quality models faster by letting the system automatically handle feature engineering, algorithm selection, and hyperparameter tuning.
- Model Management Register, track, and monitor all your analytical models in a central repository to ensure they perform reliably over time.
- Open Language Support Write code in Python, R, or Lua while still taking advantage of the platform's powerful distributed processing capabilities.
- Real-Time Decisioning Embed your analytical models directly into business processes to trigger automated actions and responses the moment data arrives.
- Natural Language Generation Receive automated text explanations of your data visualizations so you can understand the 'why' behind your business trends.
Sigma Computing Features
- Spreadsheet Interface. Analyze billions of rows of live data using familiar formulas and functions without needing to learn complex SQL code.
- Live Data Connection. Connect directly to your cloud data warehouse to ensure you are always working with the most current information available.
- Visual Data Exploration. Build interactive charts and dashboards instantly by dragging and dropping elements to uncover hidden trends in your business.
- Collaborative Workbooks. Work together with your teammates in real-time on the same data sets to reach faster, more accurate conclusions.
- Embedded Analytics. Insert live, interactive data visualizations directly into your own applications or websites to share insights with your customers.
- Input Tables. Add your own data or assumptions directly into your analysis to perform what-if scenarios and territory planning easily.
Pricing Comparison
SAS Viya Pricing
Sigma Computing Pricing
Pros & Cons
SAS Viya
Pros
- Handles extremely large datasets with high performance
- Unified environment for both coding and visual users
- Strong governance features for regulated industries
- Excellent technical support and extensive documentation
- Seamless integration with major cloud providers
Cons
- Higher price point compared to open-source alternatives
- Significant learning curve for the full feature set
- Initial setup and configuration can be complex
Sigma Computing
Pros
- Familiar spreadsheet interface reduces the learning curve
- Handles massive datasets without performance lag
- Direct connection to cloud warehouses ensures data security
- Real-time collaboration features improve team productivity
Cons
- Initial setup requires technical data warehouse knowledge
- Pricing is not transparent for small teams
- Mobile experience is less robust than desktop