Amazon SageMaker vs MathWorks Matlab comparison

Amazon Web Services (AWS) and MathWorks are both solutions in the Data Science Platforms category. Amazon Web Services (AWS) is ranked #2 with an average rating of 8.2, while MathWorks is ranked #14 with an average rating of 9.0. Amazon Web Services (AWS) holds a 4.0% mindshare in Data Science Platforms, compared to MathWorks’s 1.8% mindshare. Additionally, 91% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of MathWorks users who would recommend it.

Amazon SageMaker

Read 38 Amazon SageMaker reviews

6,234 Views
3,616 Comparison Views

91% willing to recommend

MathWorks Matlab

Read 5 MathWorks Matlab reviews

1,038 Views
1,007 Comparison Views

100% willing to recommend

Amazon SageMaker

MathWorks Matlab

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 5, 2024

MathWorks Matlab and Amazon SageMaker are advanced data analysis tools. SageMaker seems to have the upper hand with its modern cloud-first approach, integrating seamlessly with AWS for scalability.

Features: MathWorks Matlab offers comprehensive mathematical modeling capabilities, extensive toolboxes for signal processing, and control systems applications. Amazon SageMaker provides a robust machine learning environment, seamless cloud service integration, and scalability for handling large datasets.

Ease of Deployment and Customer Service: MathWorks Matlab is installed locally with strong technical support resources. Amazon SageMaker is designed for cloud deployment, offering flexibility with AWS integration and efficient support options.

Pricing and ROI: MathWorks Matlab has a higher initial setup cost with significant ROI for specialized scientific tools. Amazon SageMaker operates on a pay-as-you-go model, reducing upfront costs and offering appealing ROI for machine learning and cloud-based applications.

To learn more, read our detailed Amazon SageMaker vs. MathWorks Matlab Report (Updated: March 2026).

Buyer's Guide

Amazon SageMaker vs. MathWorks Matlab

March 2026

Download the complete report

Helped 884,873 peers since 2012

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

Amazon SageMaker

Ranking in Data Science Platforms

2nd

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

AI Development Platforms (4th)

MathWorks Matlab

Ranking in Data Science Platforms

14th

Average Rating

8.8

Reviews Sentiment

5.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the Data Science Platforms category, the mindshare of Amazon SageMaker is 4.0%, down from 7.5% compared to the previous year. The mindshare of MathWorks Matlab is 1.8%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Mindshare Distribution
Product	Mindshare (%)
Amazon SageMaker	4.0%
MathWorks Matlab	1.8%
Other	94.2%

Data Science Platforms

Featured Reviews

Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

Create innovative assistants with seamless data integration for large-scale projects

The various integration options available in Amazon SageMaker, such as Firehose for connecting to data pipelines, are simple to use. Tools like AWS Glue integrate well for data transformations. The Databricks integration aids data scientists and engineers. SageMaker is fully managed, offers high availability, flexibility with TensorFlow, PyTorch, and MXNet, and comes with pre-trained algorithms for forecasting, anomaly detection, and more.

Read full review

Prof. Dr. Rudolf Bisping

Business Owner at SASS GmbH

Versatile system empowers users with advanced algorithm development and seamless integration capabilities

The application is pretty good, and I don't really complain. For my purposes, MathWorks Matlab is perfect because it's very versatile; it is not out-of-the-box of course, and you have to program everything yourself. If you are experienced enough, you can do many things which other programs, for instance, SPSS, cannot do, as you need to program it—it's a fourth-generation programming language. In the future of MathWorks Matlab, I would appreciate the addition of many AI features, as there are a lot of machine learning capabilities and many AI features in the visual scene, although I don't need those because I use this feature data and don't work on pictures or images. However, you can work on images and can then do deep learning and that stuff, which is one of the real strengths of MathWorks Matlab.

Read full review

Quotes from Members

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

Pros

"The tool makes our ML model development a bit more efficient because everything is in one environment."

"The Autopilot feature is really good because it's helpful for people who don't have much experience with coding or data pipelines. When we suggest SageMaker to clients, they don't have to go through all the steps manually. They can leverage Autopilot to choose variables, run experiments, and monitor costs. The results are also pretty accurate."

"The solution's ability to improve work at my organization stems from the ensemble model and a combination of various models it provides."

"I appreciate the ease of use in Amazon SageMaker."

"The few projects we have done have been promising."

"The intuitive interface and streamlined user experience make it easy to navigate and set up various tools like Visual Studio Code or Jupyter Notebook."

"The most valuable feature of Amazon SageMaker is its integration. For example, AWS Lambda. Additionally, we can write Python code."

"The various integration options available in Amazon SageMaker, such as Firehose for connecting to data pipelines, are simple to use."

More Amazon SageMaker pros

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

"Making digital twins saves significant time; checking something in simulation is more cost-effective—for instance, with marine engines, we typically need about 10 years of checking to find misfires, but with MathWorks Matlab, we can complete it in one month."

"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."

"What I appreciate about MathWorks Matlab is that it is the most versatile program system I know; there are so many toolboxes which I don't need, as I mostly work with statistics, but it's amazing how many functions there are."

"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."

Cons

"The payment and monitoring metrics are a bit confusing not only for Amazon SageMaker but also for the range of other products that fall under AWS, especially for a new user of the product."

"In general, improvements are needed on the performance side of the product's graphical user interface-related area since it consumes a lot of time for a user."

"Amazon SageMaker could improve in the area of hyperparameter tuning by offering more automated suggestions and tips during the tuning process."

"Improvement is needed in the no-code and low-code capabilities of Amazon SageMaker."

"The main challenge with Amazon SageMaker is the integrations."

"The pricing of the solution is an issue...In SageMaker, monitoring could be improved by supporting more data types other than JSON and CSV."

"One area for improvement is the pricing, which can be quite high."

"Amazon might need to emphasize its capabilities in generative models more effectively."

More Amazon SageMaker 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."

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

"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."

"It is not out-of-the-box of course, and you have to program everything yourself."

Pricing and Cost Advice

"I rate the pricing a five on a scale of one to ten, where one is the lowest price, and ten is the highest price. The solution is priced reasonably. There is no additional cost to be paid in excess of the standard licensing fees."

"On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing a six out of ten."

"There is no license required for the solution since you can use it on demand."

"In terms of pricing, I'd also rate it ten out of ten because it's been beneficial compared to other solutions."

"The solution is relatively cheaper."

"Databricks solution is less costly than Amazon SageMaker."

"I would rate the solution's price a ten out of ten since it is very high."

"The pricing could be better, especially for querying. The per-query model feels expensive."

More Amazon SageMaker pricing and cost advice

"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."

See which vendors are best for you

Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.

See recommendations

884,873 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

17%

Manufacturing Company

Computer Software Company

University

Computer Software Company

13%

Comms Service Provider

Government

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	11
Large Enterprise	17

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	4

Questions from the Community

How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...

See all answers

What do you like most about Amazon SageMaker?

We've had experience with unique ML projects using SageMaker. For example, we're developing a platform similar to ChatGPT that requires models. We utilize Amazon SageMaker to create endpoints for t...

See all answers

What is your experience regarding pricing and costs for Amazon SageMaker?

If you manage it effectively, their pricing is reasonable. It's similar to anything in the cloud; if you don't manage it properly, it can be expensive, but if you do, it's fine.

See all answers

What do you like most about MathWorks Matlab?

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...

See all answers

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

Regarding the pricing part and licensing cost for MathWorks Matlab, it is not cheap, but it depends on the functions you need. You don't need all of them; you may just require a few and then it's r...

See all answers

What needs improvement with MathWorks Matlab?

See all answers

Comparisons

Databricks vs Amazon SageMaker

Compared 8% of the time

Google Vertex AI vs Amazon SageMaker

Compared 7% of the time

Dataiku vs Amazon SageMaker

Compared 6% of the time

Stack AI vs Amazon SageMaker

Compared 6% of the time

DataRobot vs Amazon SageMaker

Compared 5% of the time

More Amazon SageMaker Competitors

IBM SPSS Modeler vs MathWorks Matlab

Compared 6% of the time

Dataiku vs MathWorks Matlab

Compared 6% of the time

SAS Enterprise Miner vs MathWorks Matlab

Compared 5% of the time

Databricks vs MathWorks Matlab

Compared 5% of the time

Altair RapidMiner vs MathWorks Matlab

Compared 5% of the time

More MathWorks Matlab Competitors

Product Reports

Buyer's Guide

Amazon SageMaker

March 2026

Download Amazon SageMaker product report

Buyer's Guide

MathWorks Matlab

March 2026

Download MathWorks Matlab product report

Also Known As

AWS SageMaker, SageMaker

No data available

Overview

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.

Amazon Web Services (AWS)

Information not available

MathWorks

Sample Customers

DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit

Information Not Available

Buyer's Guide

Amazon SageMaker vs. MathWorks Matlab

March 2026

Free Report: Amazon SageMaker vs. MathWorks Matlab

Find out what your peers are saying about Amazon SageMaker vs. MathWorks Matlab and other solutions. Updated: March 2026.

DOWNLOAD NOW

884,873 professionals have used our research since 2012.

See our Amazon SageMaker vs. MathWorks Matlab report.

See our list of best Data Science Platforms vendors.

We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.