MathWorks

MathWorks MATLAB

Composite Score

8.6 /10

CX Score

8.8 /10

80 Reviews Write a Review

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What is MathWorks MATLAB?

MATLAB is a high-level language and interactive environment for numerical computation, visualization, and programming. It is a programming and numeric computing platform used by millions of engineers and scientists to analyze data, develop algorithms, and create models.

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Awards & Recognition

MathWorks MATLAB won the following awards in the Machine Learning Platforms category

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2025 Data Quadrant Champion

Latest Award, 2025

1 Top Rated Capabilities

0 Top Rated Features

Latest Award, 2025

2024 Emotional Footprint Champion

2024

2024 Data Quadrant Champion

2024

9 Top Rated Capabilities

7 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2023

2023 Data Quadrant Champion

2023

6 Top Rated Capabilities

5 Top Rated Features

2023

2022 Emotional Footprint Champion

2022

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2022

2022 Data Quadrant Champion

2022

7 Top Rated Capabilities

4 Top Rated Features

2022

MathWorks MATLAB Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on MathWorks MATLAB.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

87 Likeliness to Recommend

93 Plan to Renew

81 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+88 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love MathWorks MATLAB?

1% Negative

9% Neutral

90% Positive

Pros

Client Friendly Policies
Reliable
Trustworthy
Helps Innovate

Feature Ratings

Average 81

Data Pre-Processing

Feature Engineering

Data Ingestion

Performance and Scalability

Model Training

Model Tuning

Data Labeling

Model Monitoring and Management

Data Exploration and Visualization

Algorithm Diversity

Openness and Flexibility

Vendor Capability Ratings

Average 79

Quality of Features

Business Value Created

Breadth of Features

Product Strategy and Rate of Improvement

Ease of Data Integration

Availability and Quality of Training

Ease of Customization

Vendor Support

Usability and Intuitiveness

Ease of Implementation

Ease of IT Administration

MathWorks MATLAB Reviews

Gokul K.

Role: Student Academic
Industry: Education
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Feb 2022

Great tool for ML Enthusiasts

Likeliness to Recommend

9 /10

What differentiates MathWorks MATLAB from other similar products?

It works out well both for coders and non-coders compared to other products due to the breadth of features available

What is your favorite aspect of this product?

Matlab is a fantastic tool for visualising data. Because of its simple simulation and modelling approach, it is to make prototypes. Help and documentation for Matlab toolboxes and functions are available both offline and online through Mathworks.

What do you dislike most about this product?

Costly and community edition does not have some must-have and in-demand features. Bit complicated than previous versions and other competitors

What recommendations would you give to someone considering this product?

MathWorks provides advanced and complex tooling, go for it if you have use for them

Pros

Inspires Innovation
Saves Time
Respectful
Acts with Integrity

MathWorks MATLAB

What is MathWorks MATLAB?

Company Details

Need Assistance?

Awards & Recognition

2025 Data Quadrant Champion

2024 Emotional Footprint Champion

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

2023 Data Quadrant Champion

2022 Emotional Footprint Champion

2022 Data Quadrant Champion

MathWorks MATLAB Ratings

87 Likeliness to Recommend

93 Plan to Renew

81 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+88 Net Emotional Footprint

How much do users love MathWorks MATLAB?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Pre-Processing Ability to wrangle or pre-process data to ready it for model training.

Feature Engineering Ability to extract and build features from raw data.

Data Ingestion Ability to access data from various sources on-prem and in the cloud and of various type: structured, unstructured, and semi-structured, real-time, etc.

Performance and Scalability Systems performance (time) and scalability end-to-end: from data load and processing to model creation and deployment.

Model Training Ability to train a model with a range of data sets that you provide.

Model Tuning Ability to fine-tune models based on monitoring feedback within the platform.

Data Labeling Ability to annotate/ label data to create a training data set.

Model Monitoring and Management Ability to monitor model use and performance in production, incl. identifying models for refresh and/or replacement.

Data Exploration and Visualization Ability to visually manipulate, interact with, and explore data, and perform basic descriptive statistics and pattern detection.

Algorithm Diversity Provides multiple diverse ready-to-use machine learning algorithms out-of-the-box.

Openness and Flexibility Integration with open-source and 3P resources (languages, frameworks, libraries, etc.)

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

MathWorks MATLAB Reviews

Gokul K.

Great tool for ML Enthusiasts

Likeliness to Recommend

Pros

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Feature Ratings

Data Pre-Processing

Feature Engineering

Data Ingestion

Performance and Scalability

Model Training

Model Tuning

Data Labeling

Model Monitoring and Management

Data Exploration and Visualization

Algorithm Diversity

Openness and Flexibility

Vendor Capability Ratings

Quality of Features

Business Value Created

Breadth of Features

Product Strategy and Rate of Improvement

Ease of Data Integration

Availability and Quality of Training

Ease of Customization

Vendor Support

Usability and Intuitiveness

Ease of Implementation

Ease of IT Administration