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# Maple vs Mathematica Comparison - What are their main differences?

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Reviews

**Maple** [

4.3/5(15)

](https://www.g2.com/products/maple/reviews#reviews)

**Mathematica** [

4.1/5(86)

](https://www.g2.com/products/mathematica/reviews#reviews)

Pricing

**Maple**
No pricing available

**Mathematica**
No pricing available

**Pricing Insights**
from reviews

Time to Implement

**Maple**
Not enough reviews yet

**Mathematica**
Not enough reviews yet

Return on Investment

**Maple**
Not enough reviews yet

**Mathematica**
Not enough reviews yet

Perceived Cost

**Maple**
Not enough reviews yet

**Mathematica**
$$$$$

Average Discount

**Maple**
Not enough reviews yet

**Mathematica**
Not enough reviews yet

Pros & Cons

**Maple**
Not enough data

**Mathematica**
Not enough data

Screenshots

**Maple**
 ![Maple screenshot](https://images.g2crowd.com/cdn-cgi/image/width=600,height=600,fit=scale-down,format=auto,onerror=redirect,/https://images.g2crowd.com/uploads/attachment/file/1905072/Maple2026-Screenshot.png)

**Mathematica**
 ![Mathematica screenshot](https://images.g2crowd.com/cdn-cgi/image/width=600,height=600,fit=scale-down,format=auto,onerror=redirect,/https://images.g2crowd.com/uploads/attachment/file/1844194/Mathematica-ComplexPlot3D.png)

Ratings

Meets Requirements

**Maple**

8.9

8.911

**Mathematica**

8.4

8.478

Ease of Use

**Maple**

8.0

8.011

**Mathematica**

7.3

7.380

Ease of Setup

**Maple**
Not enough data

**Mathematica**
Not enough data

Ease of Admin

**Maple**
Not enough data

**Mathematica**
Not enough data

Quality of Support

**Maple**

8.5

8.58

**Mathematica**

7.9

7.976

Has the product been a good partner in doing business?

**Maple**
Not enough data

**Mathematica**
Not enough data

Product Direction (% positive)

**Maple**

7.9

7.911

**Mathematica**

8.1

8.179

Features

Simulation & CAE[Hide 65 FeaturesShow 65 Features](javascript:void(0);)

Not enough data

8.5

15

Design

3D/solid modeling Tools

Not enough data

8.5(won by default)

8

Drawing Tools

Not enough data

8.1(won by default)

9

Editing Tools

Not enough data

8.7(won by default)

10

Rendering tools

Not enough data

8.8(won by default)

8

Stochastic Modeling

Not enough data

Not enough data

Presentation Tools

Not enough data

Not enough data

Tools

Fluid analysis

Not enough data

8.8(won by default)

8

Finite element analysis

Not enough data

8.1(won by default)

8

Multibody dynamics

Not enough data

7.9(won by default)

8

Design Analysis

Not enough data

Not enough data

Work

Discrete event modeling

Not enough data

8.5(won by default)

12

Continuous event modeling

Not enough data

8.2(won by default)

12

Mechanical event simulation

Not enough data

8.3(won by default)

11

Manufacturing process simulation

Not enough data

9.4(won by default)

9

Integrate

Not enough data

9.0(won by default)

12

Turbulence Modeling

Not enough data

Not enough data

Motion Modeling

Not enough data

Not enough data

Dynamic Modeling

Not enough data

Not enough data

Mathematical Modeling

Not enough data

Not enough data

Agent-Based Modeling

Not enough data

Not enough data

Monte Carlo Simulation

Not enough data

Not enough data

Environment

Hardware support

Not enough data

8.2(won by default)

10

Task

Not enough data

8.3(won by default)

11

Manage Multiple Profiles

Not enough data

8.3(won by default)

9

Command Clarity

Not enough data

8.6(won by default)

12

Additional Functionality

Activity Dashboard

Not enough data

Not enough data

Configurable Workflow

Not enough data

Not enough data

API

Not enough data

Not enough data

Data Verification

Not enough data

Not enough data

Data Visualization

Not enough data

Not enough data

Generative AI

Not enough data

Not enough data

3D Imaging

Not enough data

Not enough data

Projections

Not enough data

Not enough data

Data Import/Export

Not enough data

Not enough data

Design Management

Not enough data

Not enough data

Drag & Drop

Not enough data

Not enough data

Real-Time Monitoring

Not enough data

Not enough data

Version Control

Not enough data

Not enough data

Visual Analytics

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Access Controls/Permissions

Not enough data

Not enough data

Workflow Management

Not enough data

Not enough data

Direct Manipulation

Not enough data

Not enough data

Scenario Planning

Not enough data

Not enough data

Product Data Management

Not enough data

Not enough data

Predictive Analytics

Not enough data

Not enough data

Change Management

Not enough data

Not enough data

Process Control

Not enough data

Not enough data

Customization

Not enough data

Not enough data

Content Library

Not enough data

Not enough data

Document Management

Not enough data

Not enough data

Real-Time Data

Not enough data

Not enough data

Reporting & Statistics

Not enough data

Not enough data

Rules-Based Workflow

Not enough data

Not enough data

File Management

Not enough data

Not enough data

Compliance Management

Not enough data

Not enough data

Policy Management

Not enough data

Not enough data

Graphical Data Presentation

Not enough data

Not enough data

Customizable Reports

Not enough data

Not enough data

Graphical Workflow Editor

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

Industry Specific Database

Not enough data

Not enough data

Project Workflow

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Performance Management

Not enough data

Not enough data

Show 5 feature categories with incomplete data

Artificial Intelligence[Hide 37 FeaturesShow 37 Features](javascript:void(0);)

Not enough data

Not enough data

Additional Functionality

Tagging

Not enough data

Not enough data

Natural Language Processing

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

Multi-Language

Not enough data

Not enough data

Predictive Analytics

Not enough data

Not enough data

Drag & Drop

Not enough data

Not enough data

Speech Recognition

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

Data Storage Management

Not enough data

Not enough data

Virtual Personal Assistant (VPA)

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Customer Segmentation

Not enough data

Not enough data

Collaboration Tools

Not enough data

Not enough data

Data Import/Export

Not enough data

Not enough data

Generative AI

Not enough data

Not enough data

For eCommerce

Not enough data

Not enough data

Role-Based Permissions

Not enough data

Not enough data

Customizable Branding

Not enough data

Not enough data

Search/Filter

Not enough data

Not enough data

Monitoring

Not enough data

Not enough data

Document Management

Not enough data

Not enough data

API

Not enough data

Not enough data

Data Visualization

Not enough data

Not enough data

Trend Analysis

Not enough data

Not enough data

Machine Learning

Not enough data

Not enough data

Access Controls/Permissions

Not enough data

Not enough data

Alerts/Escalation

Not enough data

Not enough data

Performance Metrics

Not enough data

Not enough data

Real-Time Data

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Mobile App

Not enough data

Not enough data

Multiple Data Sources

Not enough data

Not enough data

For Sales Teams/Organizations

Not enough data

Not enough data

Sentiment Analysis

Not enough data

Not enough data

Activity Dashboard

Not enough data

Not enough data

Chatbot

Not enough data

Not enough data

Workflow Automation

Not enough data

Not enough data

Statistical Analysis[Hide 54 FeaturesShow 54 Features](javascript:void(0);)

Not enough data

Not enough data

Administration

Quality Control

Not enough data

Not enough data

Data Sampling

Not enough data

Not enough data

Collaboration

Not enough data

Not enough data

Multiple Data Sources

Not enough data

Not enough data

Real-Time Data

Not enough data

Not enough data

Statistical Process Control

Not enough data

Not enough data

Capabilities

Data Visualization

Not enough data

Not enough data

Survival Analysis

Not enough data

Not enough data

Risk Data Attributes

Not enough data

Not enough data

Cost Analysis

Not enough data

Not enough data

Multivariate Analysis

Not enough data

Not enough data

What-if Analysis

Not enough data

Not enough data

Statistical Analysis

Not enough data

Not enough data

Bayesian Analysis

Not enough data

Not enough data

Trend Analysis

Not enough data

Not enough data

Regression Analysis

Not enough data

Not enough data

Methodology

ANOVA Support

Not enough data

Not enough data

Regression

Not enough data

Not enough data

Time Series Analysis

Not enough data

Not enough data

Generative AI

AI Text Generation

Not enough data

Not enough data

AI Text Summarization

Not enough data

Not enough data

Generative AI

Not enough data

Not enough data

Additional Functionality

Compliance Tracking

Not enough data

Not enough data

Real-Time Reporting

Not enough data

Not enough data

Statistical Simulation

Not enough data

Not enough data

Forecasting

Not enough data

Not enough data

Neural Network Modeling

Not enough data

Not enough data

Visual Analytics

Not enough data

Not enough data

Access Controls/Permissions

Not enough data

Not enough data

Data Connectors

Not enough data

Not enough data

Customizable Reports

Not enough data

Not enough data

Drag & Drop

Not enough data

Not enough data

Self Service Data Preparation

Not enough data

Not enough data

Performance Metrics

Not enough data

Not enough data

Data Transformation

Not enough data

Not enough data

Activity Dashboard

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

Predictive Analytics

Not enough data

Not enough data

API

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Association Discovery

Not enough data

Not enough data

Ad hoc Reporting

Not enough data

Not enough data

Reporting & Statistics

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Customization

Not enough data

Not enough data

Search/Filter

Not enough data

Not enough data

Monitoring

Not enough data

Not enough data

Data Clustering

Not enough data

Not enough data

Data Import/Export

Not enough data

Not enough data

SSL Security

Not enough data

Not enough data

File Storage

Not enough data

Not enough data

Decision Tree

Not enough data

Not enough data

Multiple Scoring Models

Not enough data

Not enough data

Machine Learning[Hide 30 FeaturesShow 30 Features](javascript:void(0);)

Not enough data

Not enough data

Integration - Machine Learning

Integration

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Learning - Machine Learning

Training Data

Not enough data

Not enough data

Actionable Insights

Not enough data

Not enough data

Algorithm

Not enough data

Not enough data

Additional Functionality

Predictive Modeling

Not enough data

Not enough data

Configurable Workflow

Not enough data

Not enough data

Tagging

Not enough data

Not enough data

Data Import/Export

Not enough data

Not enough data

API

Not enough data

Not enough data

Predictive Analytics

Not enough data

Not enough data

Data Visualization

Not enough data

Not enough data

Endpoint Management

Not enough data

Not enough data

Multiple Data Sources

Not enough data

Not enough data

No-Code

Not enough data

Not enough data

Data Preparation

Not enough data

Not enough data

Auditing

Not enough data

Not enough data

Collaboration Tools

Not enough data

Not enough data

Big Data Analytics

Not enough data

Not enough data

ML Algorithm Library

Not enough data

Not enough data

Data Management

Not enough data

Not enough data

Activity Dashboard

Not enough data

Not enough data

Data Capture and Transfer

Not enough data

Not enough data

Activity Tracking

Not enough data

Not enough data

Data Connectors

Not enough data

Not enough data

Data Security

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

Reporting & Statistics

Not enough data

Not enough data

Workflow Management

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Graph Visualization Tools[Hide 6 FeaturesShow 6 Features](javascript:void(0);)

Not enough data

Not enough data

Data Integration - Graph Visualization Tools

Database Connectivity

Not enough data

Not enough data

Real-time data support

Not enough data

Not enough data

Customization - Graph Visualization Tools

Dynamic Scaling

Not enough data

Not enough data

Node and edge styling

Not enough data

Not enough data

Collaboration and Usability - Graph Visualization Tools

Multiuser collaboration

Not enough data

Not enough data

Integration and Extensibility - Graph Visualization Tools

API Support

Not enough data

Not enough data

Predictive Analytics[Hide 42 FeaturesShow 42 Features](javascript:void(0);)

Not enough data

Not enough data

Statistical Tool

Scripting

Not enough data

Not enough data

Data Mining

Not enough data

Not enough data

Algorithms

Not enough data

Not enough data

Data Analysis

Analysis

Not enough data

Not enough data

Data Interaction

Not enough data

Not enough data

Time Series Analysis

Not enough data

Not enough data

Trend Analysis

Not enough data

Not enough data

Decision Making

Modeling

Not enough data

Not enough data

Data Visualizations

Not enough data

Not enough data

Report Generation

Not enough data

Not enough data

Data Unification

Not enough data

Not enough data

Customizable Reports

Not enough data

Not enough data

Generative AI

AI Text Generation

Not enough data

Not enough data

AI Text Summarization

Not enough data

Not enough data

Generative AI

Not enough data

Not enough data

Additional Functionality

Demand Forecasting

Not enough data

Not enough data

AI/Machine Learning

Not enough data

Not enough data

Drag & Drop

Not enough data

Not enough data

For Healthcare

Not enough data

Not enough data

Forecasting

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Decision Support

Not enough data

Not enough data

Modeling & Simulation

Not enough data

Not enough data

Alerts/Notifications

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

Multiple Data Sources

Not enough data

Not enough data

For Retail

Not enough data

Not enough data

For Education

Not enough data

Not enough data

Data Discovery

Not enough data

Not enough data

Graphical Workflow Editor

Not enough data

Not enough data

Performance Metrics

Not enough data

Not enough data

Business Rules Management

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Natural Language Processing

Not enough data

Not enough data

Data Transformation

Not enough data

Not enough data

Data Clustering

Not enough data

Not enough data

API

Not enough data

Not enough data

Data Blending

Not enough data

Not enough data

Data Classification

Not enough data

Not enough data

Workflow Management

Not enough data

Not enough data

Workflow Automation

Not enough data

Not enough data

User Insights

Reviewers' Company Size

[![Maple](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_87c765f5580af1b9d4d195904e264dc7/maple.jpeg "Maple")](https://www.g2.com/products/maple/reviews)

Maple

Small-Business(50 or fewer emp.)

21.4%

Mid-Market(51-1000 emp.)

35.7%

Enterprise(\> 1000 emp.)

42.9%

[![Mathematica](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_93069aaa0117df1dedfd067464584e06/mathematica.png "Mathematica")](https://www.g2.com/products/mathematica/reviews)

Mathematica

Small-Business(50 or fewer emp.)

31.4%

Mid-Market(51-1000 emp.)

23.3%

Enterprise(\> 1000 emp.)

45.3%

Small-Business

(50 or fewer emp.)

21.4%

31.4%

Mid-Market

(51-1000 emp.)

35.7%

23.3%

Enterprise

(\> 1000 emp.)

42.9%

45.3%

Reviewers' Industry

[![Maple](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_87c765f5580af1b9d4d195904e264dc7/maple.jpeg "Maple")](https://www.g2.com/products/maple/reviews)
Maple

Higher Education

28.6%

Information Technology and Services

14.3%

Computer Software

14.3%

Research

7.1%

Mechanical or Industrial Engineering

7.1%

Other

28.6%

[![Mathematica](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_93069aaa0117df1dedfd067464584e06/mathematica.png "Mathematica")](https://www.g2.com/products/mathematica/reviews)
Mathematica

Research

17.4%

Information Technology and Services

9.3%

Higher Education

8.1%

Automotive

7.0%

Computer Software

7.0%

Other

51.2%

FAQs

## Maple vs Mathematica FAQs

Generated using AI

Last updated: August 14, 2026

### What is the difference between Maple vs Mathematica?

Maple stands out for its higher reviewer satisfaction scores and symbolic computation strengths, while Mathematica is noted for its versatility and broad technical computing capabilities.

| [Maple](https://www.g2.com/products/maple/reviews) | [Mathematica](https://www.g2.com/products/mathematica/reviews) |
| --- | --- |
| 4.3/5 (15 reviews) | 4.1/5 (86 reviews) |
| Ease of Setup: 7.0 | Ease of Setup: 7.0 |
| Quality of Support: 8.5 | Quality of Support: 7.9 |
| Top Reviewer-Cited Strength: Beneficial symbolic computation for complex algebraic expressions and research activities | Top Reviewer-Cited Strength: Versatile tool for symbolic, numerical, and graphical calculations across disciplines |

### How do the pricing models of Maple and Mathematica compare?

Maple is favored by reviewers for value, as reflected in its higher satisfaction scores on price and cost-related dimensions.

- **Maple:** In recent reviews, users highlight Maple's value for symbolic computation and research, especially in academic settings.
- **Mathematica:** Reviewers note Mathematica's broad capabilities but mention its higher cost and that it is best justified for moderate to heavy users.

### What are the best alternatives to Maple and Mathematica?

The top three alternatives to Maple and Mathematica are MATLAB, Scilab, and GNU Octave.

| Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength |
| --- | --- | --- | --- | --- |
| [Maple](https://www.g2.com/products/maple/reviews) | 4.3/5 (15) | — | — | Beneficial symbolic computation for complex algebraic expressions and research activities |
| [Mathematica](https://www.g2.com/products/mathematica/reviews) | 4.1/5 (86) | — | — | Versatile tool for symbolic, numerical, and graphical calculations across disciplines |
| [MATLAB](https://www.g2.com/products/matlab/reviews) | 4.5/5 (771) | Small-Business | — | Widely used for technical computing and engineering applications |
| [Scilab](https://www.g2.com/products/scilab/reviews) | 4.5/5 (64) | Small-Business | — | Open-source platform for numerical computation |
| [GNU Octave](https://www.g2.com/products/gnu-octave/reviews) | 4.2/5 (55) | Small-Business | — | Compatible with MATLAB scripts and used for numerical analysis |

### Which Simulation & CAE features should I prioritize when comparing Maple and Mathematica?

Buyers should prioritize symbolic computation, ease of use, quality of support, breadth of mathematical functions, and visualization capabilities when comparing Maple and Mathematica.

- **Symbolic Computation:** Maple is frequently cited for its beneficial symbolic computation, especially for complex algebraic expressions; Mathematica is also recognized for symbolic, numerical, and graphical calculations.
- **Ease of Use:** Maple scores 8.0, Mathematica scores 7.3 on Ease of Use.
- **Quality of Support:** Maple scores 8.5, Mathematica scores 7.9 on Quality of Support.
- **Breadth of Mathematical Functions:** Mathematica is highlighted for its versatility across symbolic, numerical, and graphical domains.
- **Visualization Capabilities:** Both products are praised for visualization, with Mathematica noted for 3D and graphical representations.

### What are the pros and cons of Maple vs Mathematica?

Maple's headline strength is symbolic computation for complex algebraic problems, while Mathematica excels in versatility across symbolic, numerical, and graphical domains.

- **Maple strengths:** Beneficial symbolic computation, especially for complex algebraic expressions and research activities; helpful for students and researchers in physics, engineering, and mathematics; user-friendly GUI for mathematical operations.
- **Maple trade-offs:** Less efficient with large datasets; importing and manipulating large data can be slow and error-prone; some users find the interface less intuitive and the learning curve steep.
- **Mathematica strengths:** Versatile tool for symbolic, numerical, and graphical calculations; strong in data visualization, 3D graphing, and technical computing; widely used in academic and research settings for a broad range of mathematical operations.
- **Mathematica trade-offs:** Higher cost noted by reviewers; steep learning curve, especially for new users; some reviewers mention performance issues with large or complex operations and less active customer support.

### Is Maple or Mathematica better for small businesses?

MATLAB, Scilab, and GNU Octave are all ranked as Small-Business segment leaders, but among Maple and Mathematica, Mathematica is more frequently used in small-business settings according to G2 alternatives data.

- **Maple:** No largest segment data available, but reviewers highlight its value for academic and research use.
- **Mathematica:** Frequently used in small-business and academic settings, with reviewers noting its versatility for a wide range of mathematical and technical computing tasks.

### Which Simulation & CAE platform has better integrations?

Maple and Mathematica are at parity for integrations, as no recent reviewer-cited integrations are mentioned for either product.

- **Maple:** No recent reviewer-cited integrations.
- **Mathematica:** No recent reviewer-cited integrations.

### How do Maple and Mathematica compare on customer support?

Maple and Mathematica are at near-parity on Quality of Support, with Maple scoring 8.5 and Mathematica 7.9, a difference below the materiality threshold.

- **Maple:** Reviewers describe support as helpful, with several noting the usefulness of the help library and support team responsiveness.
- **Mathematica:** Reviewers mention generally positive support experiences, though some note less active support and slower response times.

### Which is easier to implement, Maple or Mathematica?

Maple and Mathematica are at parity on Ease of Setup, both scoring 7.0, with reviewers noting similar implementation experiences.

- **Maple:** Reviewers describe setup as straightforward, with a user-friendly GUI aiding initial implementation.
- **Mathematica:** Reviewers note easy installation and a user-friendly interface, though some mention a learning curve for new users.

Alternatives

**Maple Alternatives**

 ![MATLAB](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_d5738f5e7922b4552c3ba543a2b9dee6/matlab.jpeg "MATLAB")

[
MATLAB
](/products/matlab/reviews)

 ![GNU Octave](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_b7e89f607ee81a33926914cf8b010785/gnu-octave.png "GNU Octave")

[
GNU Octave
](/products/gnu-octave/reviews)

 ![SageMath](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_b60f5937b391a668da9bf4723bb1ebcb/sagemath.png "SageMath")

[
SageMath
](/products/sagemath/reviews)

 ![Scilab](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_6e50bdab7bc21f5fa01a7bd2ca7f33da/scilab.jpg "Scilab")

[
Scilab
](/products/scilab/reviews)

**Mathematica Alternatives**

 ![MATLAB](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_d5738f5e7922b4552c3ba543a2b9dee6/matlab.jpeg "MATLAB")

[
MATLAB
](/products/matlab/reviews)

 ![Scilab](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_6e50bdab7bc21f5fa01a7bd2ca7f33da/scilab.jpg "Scilab")

[
Scilab
](/products/scilab/reviews)

 ![GNU Octave](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_b7e89f607ee81a33926914cf8b010785/gnu-octave.png "GNU Octave")

[
GNU Octave
](/products/gnu-octave/reviews)

 ![IBM SPSS Statistics](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_24bb2b0b5af8e7d875ea09d767bcb097/ibm-spss-statistics.jpg "IBM SPSS Statistics")

[
SPSS Statistics
](/products/ibm-spss-statistics/reviews)

## Maple vs Mathematica

- Reviewers felt that Maple meets the needs of their business better than Mathematica.
- When comparing quality of ongoing product support, reviewers felt that Maple is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Mathematica over Maple.