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 #3 with an average rating of 8.0, while MathWorks is ranked #15 with an average rating of 9.0. Amazon Web Services (AWS) holds a 6.2% mindshare in Data Science Platforms, compared to MathWorks’s 0.9% 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

4,738 Views
1,603 Comparison Views

91% willing to recommend

MathWorks Matlab

Read 3 MathWorks Matlab reviews

509 Views
168 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: June 2025).

Buyer's Guide

Amazon SageMaker vs. MathWorks Matlab

June 2025

Download the complete report

Helped 860,592 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

3rd

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

15th

Average Rating

8.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2025, in the Data Science Platforms category, the mindshare of Amazon SageMaker is 6.2%, down from 9.3% compared to the previous year. The mindshare of MathWorks Matlab is 0.9%, 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.

Read full review

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.

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 most valuable feature of Amazon SageMaker is SageMaker Studio."

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

"SageMaker offers functionalities like Jupyter Notebooks for development, built-in algorithms, model tuning, and options to deploy models on managed infrastructure."

"The superb thing that SageMaker brings is that it wraps everything well. It's got the deployment, the whole framework."

"The technical support of the tool was good."

"I recommend SageMaker for ML projects if you need to build models from scratch."

"We've had no problems with SageMaker's stability."

"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."

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

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

"While integration is available, there are concerns about how secure this integration is, particularly when exposing data to SageMaker."

"One area where Amazon SageMaker could improve is its pricing. The high costs can drive companies to explore other cloud options. Additionally, while generally good, the updates sometimes come with bugs, and the documentation could be much better. More examples and clearer guidance would be helpful."

"Improvements are needed in terms of complexity, data security, and access policy integration in Amazon SageMaker."

"I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time."

"In my opinion, one improvement for Amazon SageMaker would be to offer serverless GPUs. Currently, we incur costs on an hourly basis. It would be beneficial if the tool could provide pay-as-you-go pricing based on endpoints."

"The product must provide better documentation."

"Lacking in some machine learning pipelines."

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."

"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."

Pricing and Cost Advice

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

"Databricks solution is less costly than Amazon SageMaker."

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

"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."

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

"The pricing is complicated as it is based on what kind of machines you are using, the type of storage, and the kind of computation."

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

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

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

860,592 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

12%

Manufacturing Company

Educational Organization

Computer Software Company

11%

Real Estate/Law Firm

Educational Organization

Comms Service Provider

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...

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?

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

Comparisons

Databricks vs Amazon SageMaker

Compared 12% of the time

Dataiku vs Amazon SageMaker

Compared 11% of the time

Azure OpenAI vs Amazon SageMaker

Compared 11% of the time

Google Vertex AI vs Amazon SageMaker

Compared 9% of the time

DataRobot vs Amazon SageMaker

Compared 8% of the time

More Amazon SageMaker Competitors

IBM SPSS Statistics vs MathWorks Matlab

Compared 26% of the time

Anaconda vs MathWorks Matlab

Compared 26% of the time

KNIME vs MathWorks Matlab

Compared 18% of the time

Dataiku vs MathWorks Matlab

Compared 16% of the time

SAS Enterprise Miner vs MathWorks Matlab

Compared 14% of the time

More MathWorks Matlab Competitors

Product Reports

Buyer's Guide

Amazon SageMaker

June 2025

Download Amazon SageMaker product report

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.

DOWNLOAD NOW

860,592 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.