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.
Sisense
Sisense is a comprehensive data analytics platform that enables you to build, embed, and deploy interactive dashboards and analytical applications to drive better business decisions across your entire organization.
Quick Comparison
| Feature | SAS Viya | Sisense |
|---|---|---|
| Website | sas.com | sisense.com |
| Pricing Model | Custom | Custom |
| Starting Price | Custom Pricing | Custom Pricing |
| FREE Trial | ✓ 14 days free trial | ✓ 30 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 | 2004 |
| Headquarters | Cary, USA | New York, 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.
Sisense
Sisense is an end-to-end analytics platform designed to help you prepare, analyze, and visualize complex data from multiple sources. You can simplify your data stack by connecting directly to cloud data warehouses or using the high-performance Elasticube engine to process large datasets without heavy IT involvement. The platform focuses on making data accessible to everyone, allowing you to create customized dashboards that reveal hidden patterns and actionable insights.
You can also go beyond standard internal reporting by embedding white-labeled analytics directly into your own customer-facing applications. This helps you provide extra value to your users through data-driven features. Whether you are a data scientist performing advanced modeling or a business manager tracking daily KPIs, the platform provides the tools you need to turn raw information into a competitive advantage.
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.
Sisense Features
- Elasticube Engine. Process massive volumes of data with a high-performance analytical engine that handles complex joins and calculations instantly.
- Embedded Analytics. Integrate fully white-labeled dashboards and charts directly into your own products and applications using robust APIs.
- AI-Driven Insights. Uncover hidden trends automatically with built-in machine learning that highlights anomalies and predicts future business outcomes.
- Drag-and-Drop Modeling. Combine disparate data sources visually without writing complex code or relying on constant support from your IT department.
- Natural Language Querying. Ask questions about your data in plain English and receive immediate visual answers through the Sisense Simply Ask feature.
- Git Integration. Manage your analytical assets like code with version control, allowing you to track changes and collaborate across development environments.
Pricing Comparison
SAS Viya Pricing
Sisense 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
Sisense
Pros
- Handles large, complex datasets from multiple sources efficiently
- Excellent embedding capabilities for customer-facing applications
- Intuitive drag-and-drop interface for building dashboards
- Fast implementation compared to traditional BI tools
- Strong customer support and active user community
Cons
- Custom pricing can be expensive for smaller companies
- Mobile application experience is less robust than desktop
- Advanced customization requires knowledge of JavaScript or SQL