JMP vs Smarten Comparison: Reviews, Features, Pricing & Alternatives in 2026

Detailed side-by-side comparison to help you choose the right solution for your team

Updated Apr 2026 8 min read

JMP

0.0 (0 reviews)

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.

Starting at $142.5/mo
Free Trial 30 days
VS

Smarten

0.0 (0 reviews)

Smarten is an augmented analytics platform that provides self-service business intelligence tools like assisted predictive modeling and data preparation to help you make data-driven decisions without technical expertise.

Starting at --
Free Trial 0 days

Quick Comparison

Feature JMP Smarten
Website jmp.com smarten.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 desktop cloud on-premise mobile
Integrations Excel SAS R Python SQL Server Oracle MATLAB Microsoft Excel Google Drive SQL Server Oracle MySQL SAP Salesforce PostgreSQL
Target Users small-business mid-market enterprise mid-market enterprise
Target Industries manufacturing pharmaceuticals aerospace
Customer Count 0 0
Founded Year 1989 2017
Headquarters Cary, USA Ahmedabad, India

Overview

J

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.

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Smarten

Smarten is an augmented analytics platform designed to simplify how you interact with complex data. Instead of relying on data scientists for every report, you can use self-service tools to visualize trends, prepare data sets, and perform advanced predictive modeling through a user-friendly interface. It focuses on 'Augmented Analytics,' which uses machine learning to guide you through data discovery and help you find hidden patterns automatically.

You can connect various data sources to create personalized dashboards and share insights across your entire organization. The platform is built for business users in finance, sales, and operations who need to move beyond basic spreadsheets into sophisticated forecasting. By automating the more technical aspects of data science, Smarten allows you to focus on the strategic implications of your data rather than the underlying code.

Overview

J

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.
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Smarten Features

  • Smarten Insights. Use machine learning to automatically identify trends and patterns in your data without writing complex queries.
  • Self-Service Data Prep. Clean, shape, and blend data from multiple sources yourself using an intuitive interface designed for non-technical users.
  • Assisted Predictive Modeling. Build and run predictive use cases like churn analysis or sales forecasting using guided workflows and algorithms.
  • Key Influencer Analytics. Discover exactly which factors are driving your business results and see how different variables impact your goals.
  • Natural Language Processing. Ask questions about your data in plain English and receive instant visual answers and detailed reports.
  • Mobile BI. Access your dashboards and track your key performance indicators from any mobile device while you are on the move.

Pricing Comparison

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JMP Pricing

JMP Subscription
$142.5
  • Full statistical capabilities
  • Interactive data visualization
  • Design of Experiments (DOE)
  • Technical support access
  • Annual software updates
  • Windows and Mac compatibility
S

Smarten Pricing

Pros & Cons

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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
A

Smarten

Pros

  • Simplifies complex data science tasks for average business users
  • Strong automated data discovery features save significant time
  • Flexible deployment options including both cloud and on-premise
  • Comprehensive support for various data source integrations

Cons

  • Initial setup requires careful data mapping and planning
  • Advanced predictive features have a slight learning curve
  • Public pricing is not available without contacting sales
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