Anaconda vs MathWorks Matlab comparison

Anaconda and MathWorks are both solutions in the Data Science Platforms category. Anaconda is ranked #12 with an average rating of 8.8, while MathWorks is ranked #17 with an average rating of 9.0. Anaconda holds a 2.1% mindshare in Data Science Platforms, compared to MathWorks’s 0.6% mindshare. Additionally, 95% of Anaconda users are willing to recommend the solution, compared to 100% of MathWorks users who would recommend it.

Anaconda

Read 18 Anaconda reviews

1,614 Views
1,323 Comparison Views

95% willing to recommend

MathWorks Matlab

Read 3 MathWorks Matlab reviews

591 Views
439 Comparison Views

100% willing to recommend

Anaconda

MathWorks Matlab

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

Anaconda and MathWorks Matlab are both in the category of scientific computing and data analysis. MathWorks Matlab seems to have the upper hand due to its comprehensive feature set that justifies its price for many users.

Features: Anaconda provides an open-source ecosystem with extensive libraries and integration capabilities ideal for data science and machine learning. It offers a user-friendly installation process and an effective package management system. MathWorks Matlab features advanced mathematical functions and specialized toolboxes designed for complex engineering and academic research.

Ease of Deployment and Customer Service: Anaconda focuses on seamless integration with open-source projects, supported by effective community-driven resources. MathWorks Matlab provides structured customer service with dedicated technical support through its proprietary ecosystem, catering to users who prefer formal and detailed guidance.

Pricing and ROI: Anaconda offers a lower setup cost with both free and paid options, delivering high ROI through cost-effective expansion. MathWorks Matlab requires an initial investment with license fees, aligning its pricing with the premium capabilities it offers.

To learn more, read our detailed Anaconda vs. MathWorks Matlab Report (Updated: January 2025).

Buyer's Guide

Anaconda vs. MathWorks Matlab

January 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Anaconda

Ranking in Data Science Platforms

12th

Average Rating

8.2

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

MathWorks Matlab

Ranking in Data Science Platforms

17th

Average Rating

8.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2025, in the Data Science Platforms category, the mindshare of Anaconda is 2.1%, down from 2.3% compared to the previous year. The mindshare of MathWorks Matlab is 0.6%, down from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

Rohan Sharma

AI/ML Co-Lead at Developer Student Clubs - GGV

Provides all the frameworks and makes it easy to create environments for multiple projects

The best thing is that it provides all the frameworks and makes it easy to create environments for multiple projects using Anaconda. It is easy for a beginner to learn to use Anaconda. Comparatively, it is easier than using virtual environments or other environments because of the Conda environment. However, there are many things in Anaconda that people need to be aware of, so it can be challenging.

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Neha Wanjari

Technical Lead at KPIT Technologies

Has Simulink feature which helps with visual representations

The tool's most valuable feature is the Simulink environment. This feature provides an incredible capability to visually represent the system behavior before creating the code. It allows you to see the flow and interactions of the system, which is extremely beneficial for software development. With this visual representation, you can better understand the system's behavior, make necessary adjustments, and ensure maintenance and updates. This capability is why I love working with the product. The solution's UI has greatly supported my development process. I would rate it an eight point five out of ten for its user interface. It's easy to explain how a system works, especially if I've created a model in the Simulink environment. Integrating it with other languages or tools has always benefited my projects. Even though I've only used two languages, it has been advantageous overall.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"It's interesting. It's user friendly. That's what makes it outstanding among the others. It has a collection of R, Python, and others. Their platform strategy has a collection of many other visualization tools, apart from Spyder and RStudio, which is really helpful for data science. For any data science professional, Anaconda is really handy. It has almost all the tools for data science."

"The virtual environment is very good."

"It has a lot of functionality available, supports many libraries, and the developers are continually improving it."

"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."

"The most advantageous feature is the logic building."

"With Anaconda Navigator, we have been able to use multiple IDEs such as JupyterLab, Jupyter Notebook, Spyder, Visual Studio Code, and RStudio in one place. The platform-agnostic package manager, "Conda", makes life easy when it comes to managing and installing packages."

"It provides a unified platform where you can install Jupyter, Python Spider, and other related tools without needing separate installations."

"The most valuable feature is the Jupyter notebook that allows us to write the Python code, compile it on the fly, and then look at the results."

More Anaconda pros

"Personally for me, because I do a lot of development, I like that it is easy to test mathematical algorithms with several matrix calculations. It's perfect for that."

"The platform's most valuable feature is its field-specific packages, which make it very easy to use."

"The tool's most valuable feature is the Simulink environment. This feature provides an incredible capability to visually represent the system behavior before creating the code. It allows you to see the flow and interactions of the system, which is extremely beneficial for software development. With this visual representation, you can better understand the system's behavior, make necessary adjustments, and ensure maintenance and updates. This capability is why I love working with the product."

Cons

"I think that the framework can be improved to make it easier for people to discover and use things on their own."

"When you install Anaconda for the first time, it's really difficult to update it."

"It also takes up a lot of space."

"Anaconda should be optimized for RAM consumption."

"Anaconda can't handle heavy workloads."

"One feature that I would like to see is being able to use a different language in a different cell, which would allow me to mix R and Python together."

"Anaconda consumes a significant amount of processing memory when working on it."

"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."

More Anaconda cons

"To make use of the GPU, you have to have an Nvidia card. What I would want it to do is to run in Next Generation with Intel or AMD, and not just with Nvidia."

"In the area of improvement, sometimes there are issues with the speed of MathWorks Matlab, particularly in the Simulink environment. The tool's latest versions can be slow to open, taking significant time to load. Additionally, saving data and integrating models can also be time-consuming processes."

"One area where the product could improve is in the ease of learning."

Pricing and Cost Advice

"The licensing costs for Anaconda are reasonable."

"The tool is open-source."

"The product is open-source and free to use."

"Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks."

"My company uses the free version of the tool. There is also a paid version of the tool available."

"The pricing for the software itself is reasonable, and I didn't encounter any additional costs beyond the initial purchase or license."

"We have a single user license. Support and add-ons are an extra fee."

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Computer Software Company

10%

Manufacturing Company

University

Educational Organization

12%

University

11%

Energy/Utilities Company

10%

Financial Services Firm

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Anaconda?

The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors.

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What is your experience regarding pricing and costs for Anaconda?

Anaconda does not require a pricing structure, and it is available as an open-source tool. The features of Python, Jupyter, and others are free to use.

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What needs improvement with Anaconda?

Anaconda consumes a significant amount of processing memory when working on it. This is something that needs improvement as it can impact performance.

See all answers

What do you like most about MathWorks Matlab?

See all answers

What is your experience regarding pricing and costs for MathWorks Matlab?

The pricing for the software itself is reasonable, and I didn't encounter any additional costs beyond the initial purchase or license.

See all answers

What needs improvement with MathWorks Matlab?

One area where the product could improve is in the ease of learning. The syntax can be challenging for first-time programmers or those unfamiliar with specialized languages. Also, while the communi...

See all answers

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Product Reports

Buyer's Guide

Anaconda

February 2025

Download Anaconda product report

Buyer's Guide

Data Science Platforms

January 2025

Download MathWorks Matlab product report

Overview

Anaconda makes it easy for you to install and maintain Python environments. Our development team tests to ensure compatibility of Python packages in Anaconda. We support and provide open source assurance for packages in Anaconda to mitigate your risk in using open source and meet your regulatory compliance requirements.

Python is the fastest growing language for data science. Anaconda includes 720+ Python open source packages and now includes essential R packages. This powerful combination allows you to do everything you want from BI to advanced modeling on complex Big Data

Anaconda

Information not available

MathWorks

Sample Customers

LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone

Information Not Available

Buyer's Guide

Anaconda vs. MathWorks Matlab

January 2025

Free Report: Anaconda vs. MathWorks Matlab

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