Tableau vs JMP

by Gralio Mar 13, 2025

Tableau and JMP are both powerful data analysis tools, but they cater to different needs. Tableau prioritizes ease of use and visual exploration, while JMP focuses on advanced statistical capabilities. Choose Tableau for quick insights and interactive dashboards, and JMP for rigorous statistical modeling and in-depth analysis.

At Gralio.ai we help to simplify your decision-making process by offering detailed, side-by-side software comparisons like this one, to help you confidently choose the tool that aligns with your business goals.

This comparison was created by analysing 4564 reviews and 60 websites, saving 1 day, 1 hour, 51 minutes of reading.

Tableau

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JMP

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About

Tableau is a popular data analytics platform that helps businesses make sense of their data. It offers powerful, user-friendly tools for visualizing data, creating interactive dashboards, and sharing insights across your organization. Tableau is suitable for companies of all sizes and is known for its intuitive drag-and-drop interface, even for non-technical users. It allows you to connect to various data sources, analyze information visually, and discover trends to make better business decisions.

JMP is data analysis software for Windows and Mac that helps you understand your data visually and statistically. It's designed to be easy to use, with a drag-and-drop interface and powerful tools for exploring data, building statistical models, and sharing your findings. Though suitable for various industries, JMP is favored by individual analysts and scientists for its depth of statistical capabilities.

Summary

Main difference

Tableau excels in interactive visualizations and ease of use, making it ideal for quickly exploring and sharing data insights. JMP is better suited for in-depth statistical analysis and modeling, preferred by analysts and scientists needing advanced statistical capabilities.

Relative strengths of Tableau (compared to JMP)

Superior interactive visualizations and dashboards
Ease of use and drag-and-drop interface
Broader industry applicability and larger community support

Relative weaknesses of Tableau (compared to JMP)

Less comprehensive statistical analysis capabilities than JMP
Can be expensive, especially for smaller teams
Limited customization options for advanced statistical modeling

Who should use Tableau VS. JMP

Tableau empowers data professionals and business users to transform data into actionable insights. Its intuitive drag-and-drop interface simplifies creating interactive dashboards and visualizations, enabling data-driven decision-making. Users praise its performance with large datasets and comprehensive visualization tools, but some find the pricing a challenge.

JMP is statistical discovery software favored by analysts and scientists for its powerful capabilities and user-friendly interface. Users praise its interactive data exploration, visualization tools, and extensive statistical methods. However, some note its high cost and potential learning curve. Ideal for medium to large businesses seeking advanced analytics.

Best for medium to large businesses seeking robust analytics.
Suitable for various data-heavy industries like finance, healthcare, and retail.

Best fit for medium to large businesses (100+ employees).
Suitable for various sectors, especially popular in scientific and research fields.

Tableau and JMP features

Supported

Partially supported

Not supported

Type in the name of the feature or in your own words tell us what you need

Drag and Drop Interface

Supported

Tableau offers a drag-and-drop interface for creating visualizations and dashboards.

Supported

JMP offers a drag-and-drop interface for building visualizations and dashboards.
Community Support

Supported

Tableau offers community support with resources, training, and a forum.

Supported

JMP offers community support, training, and a community forum.
Market Leader in BI

Supported

Tableau is a recognized leader in the BI market, with a large market share and analyst recognition.

Not supported

JMP is a leader in statistical analysis, but not a market leader in general BI.
Data Visualization

Supported

Tableau offers a wide range of charts and graphs, including pareto charts, stacked bar charts, line graphs, area charts, dual-axis combination charts, Gantt charts, and bullet charts, making it easy to visualize data.

Supported

JMP offers extensive data visualization tools, including various charts and graphs.
Interactive charts and graphs

Supported

Tableau allows the creation of interactive charts and graphs, with features like filters, drill-downs, tooltips, and dynamic updates, facilitating data exploration and visualization.

Supported

JMP offers interactive charts, drill-downs, and tooltips. Filters are likely supported but not explicitly documented.
Interactive Dashboards

Supported

Tableau supports interactive dashboards for real-time data exploration.

Supported

JMP supports interactive dashboards for real-time data exploration.

Qualities

Value and Pricing Transparency

-0.85

Strongly negative sentiment

-1

Strongly negative sentiment
Customer Service

-0.14

Neutral sentiment

+0.6

Rather positive sentiment
Ease of Use

+0.9

Strongly positive sentiment

+0.79

Strongly positive sentiment
Reliability and Performance

+0.35

Rather positive sentiment

+0.75

Strongly positive sentiment
Ease of Implementation

+0.6

Rather positive sentiment

-0.14

Neutral sentiment
Scalability

+0.22

Neutral sentiment

+0

Neutral sentiment

Tableau and JMP Pricing

Tableau offers different editions: Standard, Enterprise, and Tableau+. Tableau+ is only available on Tableau Cloud. All users on a deployment must use the same edition. Nonprofits may be eligible for discounts; contact sales for details.

Plans

User sentiment

Strongly negative

-0.85

See full Pricing page

The listed prices are for an annual subscription. Cancellations do not result in partial refunds.

Plans

User sentiment

Strongly negative

-1

See full Pricing page

Tableau and JMP review insights

4542 reviews analysed from and

Users love

User interface with exciting visualisation tools.
Works very well as a BI Reporting Tool.
Seamless Data Integration
The best part about Tableau is the performance and speed which enables me to analyze big data without any slowdowns.

User-friendly interface praised for ease of use in data visualization and statistical analysis.
Powerful statistical capabilities and a wide range of analysis tools available.
Interactive data exploration and dynamic visualization features highly valued.
Excellent Design of Experiments (DOE) capabilities, including modern designs and flexible analysis.
Helpful resources, including documentation, tutorials, and a supportive user community.

Users dislike

Some time is slow and have some visualizations flexibilities issues.
The cost is what comes into my head when I first think of Tableau and the collaborations issues as it isn\'t smooth in the desktop version when cimpared to its competitor Power BI
Tableau can be expensive, especially for small businesses or individual users.
The Tableau trial period is too short, If they release the free version with limited features it would be beneficial for students to get hands-on experience.

High cost of software often mentioned, especially for individual users.
Steep learning curve for new users, particularly those unfamiliar with statistical software.
Performance issues with very large datasets, slowdowns and crashes reported.
Limited customization for graphs and charts, formatting for publications can be time-consuming.
Occasional bugs and glitches, such as issues with window management and data table summaries.

Tableau and JMP Ratings

G2

4.4/5

(2074)
Capterra

4.6/5

(2209)
TrustPilot

1.9/5

(22)
Glassdoor

4.1/5

(18141)

G2

4.6/5

(209)
Capterra

4.6/5

(50)
Glassdoor

4.5/5

(17)

Company health

Employee growth

2% increase in the last year

15% increase in the last year

Web traffic

7% decrease in the last quarter

10% increase in the last quarter

Financing

July 2022 - $65M

No data

How easy is Tableau's drag-and-drop interface for non-technical users compared to JMP?

Both Tableau and JMP offer drag-and-drop interfaces. However, Tableau is more widely recognized for its intuitive drag-and-drop functionality specifically designed for non-technical users, making data visualization and dashboard creation easier for them. While JMP also has a drag-and-drop interface, its focus on statistical capabilities may present a steeper learning curve for non-technical users compared to Tableau.

Which product, JMP or Tableau, offers more robust statistical modeling capabilities for research?

JMP offers more robust statistical modeling capabilities for research than Tableau. While Tableau excels at data visualization and creating interactive dashboards, JMP is specifically designed for statistical analysis, providing a wider range of modeling tools and diagnostics. JMP is favored by scientists and analysts for its depth in statistical functionality, making it more suitable for research purposes.

What are the advantages of Tableau?

Tableau's advantages include its market-leading position in BI, user-friendly drag-and-drop interface for data visualization and dashboard creation, and broad appeal to both technical and non-technical users across various industries. Its interactive charts and graphs, coupled with pre-built templates and a supportive community, make it a powerful tool for data exploration and insight generation.

What are the disadvantages of Tableau?

Tableau's disadvantages include a high cost, particularly for smaller businesses or individuals, and potential performance issues with very large datasets. Some users find the trial period too short and desire a free version with limited features. Additionally, while user-friendly for basic tasks, some users report a steeper learning curve for advanced features and limited customization options for visualizations.

Alternatives to Tableau and JMP

Metabase

Metabase is a business intelligence tool that makes it easy for anyone in your company to analyze data and create reports, even without technical skills. It connects to your existing databases, allowing you to build interactive dashboards and visualize data without writing code. Metabase offers a user-friendly interface with features like a visual query builder and pre-built dashboards. It's available in both free open-source and paid versions, making it suitable for businesses of all sizes. Metabase prioritizes ease of use and accessibility for non-technical users, empowering teams to make data-driven decisions.

Minitab Statistical Software

Minitab Statistical Software is a leading data analysis tool used by businesses to make better decisions. It offers a user-friendly way to analyze data, identify trends, and make predictions, without needing to be a statistics expert. Minitab is used by companies of all sizes, across various industries, to improve processes and achieve business goals. Its strength lies in providing powerful statistical analysis in an easy-to-understand format, making it accessible to a wide range of users.

Mode

Mode is a cloud-based business intelligence platform designed for data teams and business users in companies of all sizes. It allows data professionals to analyze data using languages like SQL, Python, and R, and to build interactive dashboards and reports. Mode aims to be a central hub for all data analysis, enabling collaboration and self-service access to insights for everyone in the organization. Mode integrates with a company's existing data infrastructure.

SigmaXL

SigmaXL is a statistical software tool designed for businesses of all sizes looking to improve their processes. It offers a range of features for analyzing data, identifying areas for improvement, and tracking progress. SigmaXL is known for being user-friendly and affordable, making it a popular choice for businesses seeking practical data analysis solutions.

ThoughtSpot

ThoughtSpot is a business intelligence platform that makes it easier for non-technical users to get insights from company data. Using AI and search functionality, you can ask questions in plain English and quickly visualize results without needing IT support. It connects with your existing data sources and allows you to create reports and dashboards to track key metrics. ThoughtSpot aims to eliminate manual reporting processes and empower employees to make data-driven decisions.

OriginPro

OriginPro is a software application for data analysis and visualization. Popular with scientists and engineers, it offers tools for graphing, statistics, signal processing, and image handling. Its strength lies in its ease of use and customization options, allowing even non-programmers to automate data analysis tasks. OriginPro can handle large datasets, making it suitable for research and engineering projects.

Page co-authored by

Michal Kaczor

CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

Tymon Terlikiewicz

CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.

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