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 8.0, while MathWorks is ranked #16 with an average rating of 9.0. Amazon Web Services (AWS) holds a 6.5% mindshare in Data Science Platforms, compared to MathWorks’s 0.8% 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 37 Amazon SageMaker reviews

5,230 Views
1,674 Comparison Views

91% willing to recommend

MathWorks Matlab

Read 3 MathWorks Matlab reviews

538 Views
171 Comparison Views

100% willing to recommend

Amazon SageMaker

MathWorks Matlab

Comparison Buyer's Guide

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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: June 2025).

Buyer's Guide

Amazon SageMaker vs. MathWorks Matlab

June 2025

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Helped 856,873 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

7.1

Number of Reviews

Ranking in other categories

AI Development Platforms (5th)

MathWorks Matlab

Ranking in Data Science Platforms

16th

Average Rating

8.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2025, in the Data Science Platforms category, the mindshare of Amazon SageMaker is 6.5%, down from 9.6% compared to the previous year. The mindshare of MathWorks Matlab is 0.8%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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 ( /products/amazon-sagemaker-reviews ), such as Firehose for connecting to data pipelines, are simple to use. Tools like AWS Glue ( /products/aws-glue-reviews ) integrate well for data transformations. The Databricks ( /products/databricks-reviews ) integration aids data scientists and engineers. SageMaker is fully managed, offers high availability, flexibility with TensorFlow ( /products/tensorflow-reviews ), PyTorch ( /products/pytorch-reviews ), and MXNet ( /products/mxnet-reviews ), and comes with pre-trained algorithms for forecasting, anomaly detection, and more.

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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

"Amazon SageMaker is highly valuable for managing ML workloads. It connects to AWS cloud resources, making it easy to deploy algorithms and collaborate using tools like GitLab. It offers a wide range of Python libraries and other necessary tools for modelling and algorithms."

"I have seen a return on investment, probably a factor of four or five."

"The most valuable features in Amazon SageMaker are its AutoML, feature store, and automated hyperparameter tuning capabilities."

"The most valuable features include the ML operations that allow for designing, deploying, testing, and evaluating models."

"We were able to use the product to automate processes."

"One of the most valuable features of Amazon SageMaker for me is the one-touch deployment, which simplifies the process greatly."

"It's user-friendly for business teams as they can understand many aspects through the AWS interface."

"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."

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

Cons

"Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier."

"I had to create custom templates for labeling multi-data sets, such as text and images, which was time-consuming."

"The product must provide better documentation."

"Creating notebook instances for multiple users is pretty expensive in Amazon SageMaker."

"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."

"The training modules could be enhanced. We had to take in-person training to fully understand SageMaker, and while the trainers were great, I think more comprehensive online modules would be helpful."

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

"Having all documentation easily accessible on the front page of SageMaker would be a great improvement."

More Amazon SageMaker cons

"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."

"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."

Pricing and Cost Advice

"The tool's pricing is reasonable."

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

"The pricing is comparable."

"SageMaker is worth the money for our use case."

"Databricks solution is less costly than Amazon SageMaker."

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

"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."

"Amazon SageMaker is a very expensive product."

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."

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

12%

Manufacturing Company

Educational Organization

Computer Software Company

10%

Real Estate/Law Firm

Educational Organization

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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...

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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...

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

The pricing is high, around an eight. However, SageMaker offers free trials for the first two months, allowing users to determine which features they need. It is considered value for money given it...

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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Compared 16% of the time

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Compared 15% of the time

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Product Reports

Buyer's Guide

Amazon SageMaker

June 2025

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Buyer's Guide

Data Science Platforms

June 2025

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

June 2025

Free Report: Amazon SageMaker vs. MathWorks Matlab

Find out what your peers are saying about Amazon SageMaker vs. MathWorks Matlab and other solutions. Updated: June 2025.

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