Red Hat Decision Manager
Red Hat Decision Manager is an open-source platform that combines business rules management, complex event processing, and resource optimization to help you automate business decisions and processes.
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.
Quick Comparison
| Feature | Red Hat Decision Manager | SAS Viya |
|---|---|---|
| Website | redhat.com | sas.com |
| Pricing Model | Custom | Custom |
| Starting Price | Custom Pricing | Custom Pricing |
| FREE Trial | ✓ 60 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 | 1993 | 1976 |
| Headquarters | Raleigh, USA | Cary, USA |
Overview
Red Hat Decision Manager
Red Hat Decision Manager helps you automate complex business decisions by separating business logic from your application code. You can create, test, and deploy business rules and models using a central repository, which allows your business experts to update policies without waiting for a full development cycle. It uses the Drools engine to handle high-volume rule execution and complex event processing in real-time.
You can use the platform to solve resource-intensive problems like vehicle routing, employee shift scheduling, and fraud detection. It integrates with Red Hat Process Automation Manager if you need to combine decision logic with full business process workflows. The software is designed for mid-to-large enterprises in highly regulated industries like banking, insurance, and healthcare where decision transparency and auditability are critical requirements.
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.
Overview
Red Hat Decision Manager Features
- Business Rules Management Create and manage complex business rules using intuitive decision tables and scorecards that business users can understand.
- Complex Event Processing Monitor and analyze data streams in real-time to detect patterns and trigger immediate actions based on specific business events.
- Business Optimizer Solve difficult planning and scheduling problems by finding the most efficient use of your limited resources and time.
- Decision Model and Notation Design your decision logic using the DMN standard to ensure clear communication between your technical and business teams.
- Cloud-Native Deployment Deploy your decision services as containerized microservices on OpenShift or other Kubernetes platforms for massive scalability.
- Centralized Repository Store and version all your business assets in a single location to maintain a clear audit trail of every change.
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.
Pricing Comparison
Red Hat Decision Manager Pricing
SAS Viya Pricing
Pros & Cons
Red Hat Decision Manager
Pros
- Powerful engine handles high-volume rule execution efficiently
- Open-source foundation prevents vendor lock-in for your team
- Strong integration with the wider Red Hat ecosystem
- Excellent documentation and community support for developers
- DMN support improves collaboration between business and IT
Cons
- Steep learning curve for non-technical business users
- Initial setup and configuration can be complex
- Requires significant memory resources for large rule sets
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