Amazon SageMaker vs MathWorks Matlab comparison

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Amazon Web Services (AWS) Logo
11,742 views|9,310 comparisons
83% willing to recommend
MathWorks Logo
1,037 views|810 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon SageMaker and MathWorks Matlab based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.
To learn more, read our detailed Data Science Platforms Report (Updated: April 2024).
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Featured 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 has made client management easier where patients need to upload their health records and we can use the tool to understand details on treatment date, amount, etc.""Feature Store, CodeCommit, versioning, model control, and CI/CD pipelines are the most valuable features in Amazon SageMaker.""The few projects we have done have been promising.""The most valuable feature of Amazon SageMaker is that you don't have to do any programming in order to perform some of your use cases.""The most valuable feature of Amazon SageMaker for me is the model deployment service.""The solution is easy to scale...The documentation and online community support have been sufficient for us so far.""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 deployment is very good, where you only need to press a few buttons."

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"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.""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."

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Cons
"The solution requires a lot of data to train the model.""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.""Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier.""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.""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 documentation must be made clearer and more user-friendly.""I would suggest that Amazon SageMaker provide free slots to allow customers to practice, such as a free slot to try out working with a Sandbox.""AI is a new area and AWS needs to have an internship training program available."

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"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."

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Pricing and Cost Advice
  • "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."
  • "The support costs are 10% of the Amazon fees and it comes by default."
  • "SageMaker is worth the money for our use case."
  • "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."
  • "There is no license required for the solution since you can use it on demand."
  • "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."
  • "You don't pay for Sagemaker. You only pay for the compute instances in your storage."
  • More Amazon SageMaker Pricing and Cost Advice →

  • "We have a single user license. Support and add-ons are an extra fee."
  • More MathWorks Matlab Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: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… more »
    Top Answer:The tool makes our ML model development a bit more efficient because everything is in one environment.
    Top Answer:The pricing is comparable. It is not very cheap. I rate the pricing an eight out of ten. The main reason why we're using it is because of its cost. We are aiming at keeping the costs at $100 per… more »
    Top Answer: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… more »
    Top Answer: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… more »
    Top Answer:I use the tool for model-based development projects, particularly in the automotive sector. These projects involve automation and testing using scripts. Additionally, I have utilized it for auto-code… more »
    Ranking
    5th
    Views
    11,742
    Comparisons
    9,310
    Reviews
    11
    Average Words per Review
    536
    Rating
    7.2
    22nd
    Views
    1,037
    Comparisons
    810
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    AWS SageMaker, SageMaker
    Learn More
    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.

    Sample Customers
    DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit
    Information Not Available
    Top Industries
    REVIEWERS
    Computer Software Company22%
    Manufacturing Company11%
    Logistics Company11%
    Transportation Company11%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Educational Organization13%
    Computer Software Company11%
    Manufacturing Company7%
    VISITORS READING REVIEWS
    University12%
    Educational Organization12%
    Computer Software Company11%
    Financial Services Firm10%
    Company Size
    REVIEWERS
    Small Business16%
    Midsize Enterprise42%
    Large Enterprise42%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise17%
    Large Enterprise68%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise11%
    Large Enterprise65%
    Buyer's Guide
    Data Science Platforms
    April 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    768,415 professionals have used our research since 2012.

    Amazon SageMaker is ranked 5th in Data Science Platforms with 18 reviews while MathWorks Matlab is ranked 22nd in Data Science Platforms with 2 reviews. Amazon SageMaker is rated 7.2, while MathWorks Matlab is rated 8.6. The top reviewer of Amazon SageMaker writes "Easy to use and manage, but the documentation does not have a lot of information". On the other hand, the top reviewer of MathWorks Matlab writes "Has Simulink feature which helps with visual representations ". Amazon SageMaker is most compared with Databricks, Azure OpenAI, Google Vertex AI, Domino Data Science Platform and Microsoft Azure Machine Learning Studio, whereas MathWorks Matlab is most compared with IBM SPSS Statistics, Databricks, Anaconda and Microsoft Azure Machine Learning Studio.

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    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.