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.
Looker
Looker is a modern business intelligence software providing a unified data model and real-time exploration tools to help you turn complex database information into actionable business insights.
Quick Comparison
| Feature | JMP | Looker |
|---|---|---|
| Website | jmp.com | looker.com |
| Pricing Model | Subscription | Custom |
| Starting Price | $142.5/month | Custom Pricing |
| FREE Trial | ✓ 30 days free trial | ✓ 0 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 | 2012 |
| Headquarters | Cary, USA | Santa Cruz, 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.
Looker
Looker helps you explore and analyze your data through a centralized, governed lens. Instead of dealing with fragmented reports, you use a unique modeling language called LookML to define your business logic once and apply it across your entire organization. This ensures everyone works from a single version of the truth, whether you are building complex dashboards or performing ad-hoc data discovery.
You can integrate your data directly into your daily workflows by sending alerts to Slack or triggering actions in other applications. The platform is designed for data-driven teams in mid-market and enterprise companies who need to scale their analytics without losing consistency. By connecting directly to your SQL database, it eliminates the need for data extracts and provides real-time visibility into your business performance.
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.
Looker Features
- LookML Modeling. Define your business metrics once in a centralized layer so every department stays aligned on the same data definitions.
- Real-time Dashboards. Create live, interactive visualizations that update instantly as your underlying database changes—no manual refreshes required.
- Embedded Analytics. Deliver data insights directly within your own applications or websites to provide value to your customers and partners.
- Data Actions. Take immediate action on your insights by triggering workflows in external tools like Salesforce or Zendesk directly from Looker.
- Git Integration. Manage your data models like code with built-in version control, allowing your team to collaborate safely on complex analytics.
- Looker Blocks. Jumpstart your analysis with pre-built code patterns for common data sources like Google Ads, Salesforce, and Snowflake.
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
Looker 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
Looker
Pros
- Centralized modeling ensures data consistency across teams
- Powerful drill-down capabilities for deep data exploration
- Seamless integration with the Google Cloud ecosystem
- Highly customizable visualizations for complex reporting needs
- Strong community support and extensive technical documentation
Cons
- Requires knowledge of LookML for initial setup
- Pricing can be high for smaller organizations
- Steep learning curve for non-technical administrators
- Performance depends heavily on your underlying database