Compare Amazon SageMaker vs. MathWorks Matlab

Amazon SageMaker is ranked 14th in Data Science Platforms with 4 reviews while MathWorks Matlab is ranked 15th in Data Science Platforms with 2 reviews. Amazon SageMaker is rated 7.4, while MathWorks Matlab is rated 8.6. The top reviewer of Amazon SageMaker writes "A solution with great computational storage, has many pre-built models, is stable, and has good support". On the other hand, the top reviewer of MathWorks Matlab writes "Enables us to have ultimate control over big data handling from simple to ultra-complex tasks". Amazon SageMaker is most compared with Databricks, Microsoft Azure Machine Learning Studio and Domino Data Science Platform, whereas MathWorks Matlab is most compared with Microsoft Azure Machine Learning Studio, IBM SPSS Statistics and SAS Visual Analytics. See our Amazon SageMaker vs. MathWorks Matlab report.
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Most Helpful Review
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Find out what your peers are saying about Amazon SageMaker vs. MathWorks Matlab and other solutions. Updated: March 2020.
405,901 professionals have used our research since 2012.
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 that you don't have to do any programming in order to perform some of your use cases.The deployment is very good, where you only need to press a few buttons.They are doing a good job of evolving.The few projects we have done have been promising.

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This product has the ability to take a huge amount of data and make even very complex transformations and analysis very quickly.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
AI is a new area and AWS needs to have an internship training program available.Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier.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.I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time.

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License types could be more flexible to promote broader use.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.

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Pricing and Cost Advice
The support costs are 10% of the Amazon fees and it comes by default.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.

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There is a one time fee to purchase and ongoing yearly maintenance based on usage.We have a single user license. Support and add-ons are an extra fee.

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Ranking
14th
Views
6,686
Comparisons
6,096
Reviews
3
Average Words per Review
560
Avg. Rating
7.3
15th
Views
2,055
Comparisons
1,871
Reviews
2
Average Words per Review
1,028
Avg. Rating
8.5
Top Comparisons
Compared 31% of the time.
Also Known As
AWS SageMaker, SageMaker
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MathWorks
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.

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Learn more about Amazon SageMaker
Learn more about MathWorks Matlab
Sample Customers
DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit
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Top Industries
VISITORS READING REVIEWS
Software R&D Company31%
Media Company18%
Comms Service Provider11%
Retailer4%
No Data Available
Find out what your peers are saying about Amazon SageMaker vs. MathWorks Matlab and other solutions. Updated: March 2020.
405,901 professionals have used our research since 2012.
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.