Mode
Mode is a collaborative data science platform that combines SQL, Python, and interactive data visualization to help your team perform deep analysis and share insights across your entire organization.
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.
Quick Comparison
| Feature | Mode | Red Hat Decision Manager |
|---|---|---|
| Website | mode.com | redhat.com |
| Pricing Model | Custom | Custom |
| Starting Price | Custom Pricing | Custom Pricing |
| FREE Trial | ✓ 14 days free trial | ✓ 60 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 | 2013 | 1993 |
| Headquarters | San Francisco, USA | Raleigh, USA |
Overview
Mode
Mode is a collaborative analytics platform designed to help you bridge the gap between raw data and business decisions. By combining a powerful SQL editor with integrated Python and R notebooks, you can perform complex analysis without switching between different tools. You can build interactive visualizations and dynamic dashboards that allow your stakeholders to explore data and find their own answers through intuitive filters and parameters.
The platform is built for data-forward teams who need to move quickly from a query to a shareable report. It simplifies your workflow by centralizing your data definitions and providing a unified space for your analysts and business users to collaborate. Whether you are a high-growth startup or a large enterprise, you can use Mode to turn your data warehouse into a source of actionable intelligence for every department.
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.
Overview
Mode Features
- Advanced SQL Editor Write and execute complex queries quickly with autocomplete, snippets, and the ability to run multiple queries simultaneously.
- Integrated Notebooks Switch to Python or R instantly to perform advanced statistical analysis or create custom visualizations on your SQL results.
- Interactive Dashboards Build and share dynamic reports that allow your teammates to filter and explore data without writing any code.
- Visual Explorer Create beautiful charts and graphs using a drag-and-drop interface that makes data exploration fast and intuitive for everyone.
- Helix Data Engine Analyze up to 10GB of data in-memory so you can filter and pivot large datasets with lightning-fast responsiveness.
- Custom HTML Themes Design bespoke reports using HTML, CSS, and JavaScript to match your brand or create unique data experiences.
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.
Pricing Comparison
Mode Pricing
Red Hat Decision Manager Pricing
Pros & Cons
Mode
Pros
- Seamless transition between SQL and Python environments
- Fast in-memory processing for large datasets
- Easy sharing of reports via simple URLs
- Highly customizable reporting using web technologies
- Excellent collaborative features for data teams
Cons
- Higher price point than basic BI tools
- Requires SQL knowledge for initial setup
- Mobile experience is limited for complex reports
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