JMP
JMP is a powerful statistical discovery software providing interactive data visualization and deep analytical capabilities to help scientists and engineers explore data, uncover patterns, and solve complex research problems.
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 | JMP | Sisense |
|---|---|---|
| Website | jmp.com | sisense.com |
| Pricing Model | Subscription | Custom |
| Starting Price | $142.5/month | Custom Pricing |
| FREE Trial | ✓ 30 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 | 1989 | 2004 |
| Headquarters | Cary, USA | New York, USA |
Overview
JMP
JMP helps you explore data visually and interactively, moving beyond static graphs to dynamic discovery. Whether you are an engineer optimizing a manufacturing process or a scientist designing clinical trials, you can use its point-and-click interface to uncover hidden trends without writing complex code. You can easily import data from various sources, perform sophisticated regressions, and build predictive models that drive better decision-making across your organization.
The software focuses on the 'discovery' aspect of data science, allowing you to see your data from every angle through linked windows and real-time filtering. It scales from individual researchers to global R&D teams, providing a robust environment for everything from basic descriptive statistics to advanced design of experiments (DOE). By using JMP, you reduce the time spent on data preparation and move faster toward actionable insights.
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
JMP Features
- Interactive Data Visualization Click on a data point in one graph to see it instantly highlighted across all other open windows and reports.
- Design of Experiments (DOE) Build custom experimental designs that solve real-world problems while minimizing the number of expensive runs you need to perform.
- Predictive Modeling Create and validate predictive models using automated techniques like neural networks, decision trees, and bootstrap forest methods.
- Automated Data Cleaning Identify outliers, fix entry errors, and recode data quickly so you spend more time analyzing and less time scrubbing.
- Quality and Process Control Monitor your manufacturing processes with control charts and capability analysis to ensure your products meet strict specifications.
- JMP Scripting Language (JSL) Automate repetitive tasks and create custom analytical applications to share standardized workflows with your entire team.
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
JMP Pricing
- Full statistical capabilities
- Interactive data visualization
- Design of Experiments (DOE)
- Technical support access
- Annual software updates
- Windows and Mac compatibility
- Everything in JMP, plus:
- Advanced predictive modeling
- Cross-validation techniques
- Text exploration and analysis
- Reliability block diagrams
- Mixed models and uplift modeling
Sisense Pricing
Pros & Cons
JMP
Pros
- Dynamic linking between graphs makes data exploration intuitive
- Industry-leading tools for complex Design of Experiments
- Excellent documentation and active user community support
- Powerful scripting language for automating complex workflows
Cons
- High annual subscription cost for individual users
- Steep learning curve for advanced statistical modules
- Interface can feel cluttered with many open windows
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