[
MATLAB Reviews
](https://www.g2.com/products/matlab/reviews)

[
MATLAB Reviews
](https://www.g2.com/products/matlab/reviews)

# MATLAB Features

##### 
## Model Development (5)

Language Support

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Drag and Drop

Offers the ability for developers to drag and drop pieces of code or algorithms when building models

Pre-Built Algorithms

Provides users with pre-built algorithms for simpler model development

Model Training

Supplies large data sets for training individual models

Feature Engineering

Transforms raw data into features that better represent the underlying problem to the predictive models

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##### 
## Machine/Deep Learning Services (6)

Computer Vision

Offers image recognition services

Natural Language Processing

Offers natural language processing services

Natural Language Generation

Offers natural language generation services

Artificial Neural Networks

Offers artificial neural networks for users

Natural Language Understanding

Offers natural language understanding services

Deep Learning

Provides deep learning capabilities

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##### 
## Deployment (3)

Managed Service

Manages the intelligent application for the user, reducing the need of infrastructure

Application

Allows users to insert machine learning into operating applications

Scalability

Provides easily scaled machine learning applications and infrastructure

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##### 
## Data Transformation (2)

Real-Time Analytics

Facilitates analysis of high-volume, real-time data.

Data Querying

Allows user to query data through query languages like SQL.

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##### 
## Connectivity (4)

Hadoop Integration

Aligns processing and distribution workflows on top of Apache Hadoop

Spark Integration

Aligns processing and distribution workflows on top of Apache Spark

Multi-Source Analysis

Integrates data from multiple external databases.

Data Lake

Facilitates the dissemination of collected big data throughout parallel computing clusters.

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##### 
## Operations (4)

Data Visualization

Processes data and represents interpretations in a variety of graphic formats.

Data Workflow

Strings together specific functions and datasets to automate analytics iterations.

Embedded Analytics

Allows big data tool to run and record data within external applications.

Notebooks

Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations

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##### 
## Design (4)

3D/solid modeling Tools

Ability to modify 3D primitives (parametric editing tools, free-form editing tools, symmetrical editing process, etc.)

Drawing Tools

Ability to access basic drawing tools (line, circle, polygons, etc.)

Editing Tools

Ability to access basic editing tools (erase, trim, extend, undo, etc.)

Rendering tools

Ability to access rendering tools (lighting tools, texture mapping, custom material creation, etc.)

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##### 
## Tools (3)

Fluid analysis

Ability to conduct computational fluid dynamics and thermal analysis

Finite element analysis

Ability to conduct finite element analysis test

Multibody dynamics

Ability to conduct kinematics and dynamic analysis of mechanisms

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##### 
## Work (5)

Discrete event modeling

Ability to model discrete event simulation such as analyzing event-driven system models and optimizing performance characteristics such as latency, throughput, and packet loss.

Continuous event modeling

Ability to model continous event simulation

Mechanical event simulation

Ability to conduct mechanical event simulation

Manufacturing process simulation

Ability to model a manufacturing processes like casting, molding and die press forming

Integrate

Ability to integrate with CAD and PLM software

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##### 
## Environment (4)

Hardware support

Ability to support a sufficient number of hardware developers (by default or through the use of custom drivers).

Task

Support for custom interfaces designed around specific design tasks, by default (out of the box) or through user customization.

Manage Multiple Profiles

Support for multiple user interface customizations. Can store and recall interfaces as required by a specific user without closing the application and without the need for scripting knowledge.

Command Clarity

Names of basic commands are clear and easy to understand. On-cursor documentation, such as tool tips and pop-up descriptions, provide clarification of icons and other user interface elements.

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##### 
## System (1)

Data Ingestion & Wrangling

Gives user ability to import a variety of data sources for immediate use

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##### 
## Generative AI (3)

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

AI Text-to-Image

Provides the ability to generate images from a text prompt.

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##### 
## Agentic AI - Data Science and Machine Learning Platforms (7)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

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[

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## Top-Rated Alternatives

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Gemini Enterprise Agent Platform

4.3/5

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MATLAB Comparisons

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Maple

4.3/5

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TensorFlow

4.5/5

(138)

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COMSOL Multiphysics®

4.3/5

(36)

[
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##### Categories on G2

[
Data Science and Machine Learning Platforms
](https://www.g2.com/categories/data-science-and-machine-learning-platforms)[
Big Data Analytics
](https://www.g2.com/categories/big-data-analytics)[
Simulation & CAE
](https://www.g2.com/categories/simulation-cae)

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