Compare Amazon SageMaker vs. Domino Data Science Platform

Amazon SageMaker is ranked 13th in Data Science Platforms with 2 reviews while Domino Data Science Platform is ranked 17th in Data Science Platforms with 1 review. Amazon SageMaker is rated 7.6, while Domino Data Science Platform is rated 7.0. 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 Domino Data Science Platform writes "Good scalability and stability but the predictive analysis feature needs improvement". Amazon SageMaker is most compared with Databricks, Microsoft Azure Machine Learning Studio and Domino Data Science Platform, whereas Domino Data Science Platform is most compared with Amazon SageMaker, Databricks and Dataiku Data Science Studio.
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Most Helpful Review
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Find out what your peers are saying about Alteryx, Knime, IBM and others in Data Science Platforms. Updated: December 2019.
391,045 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
They are doing a good job of evolving.The few projects we have done have been promising.

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The scalability of the solution is good; I'd rate it four out of five.

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Cons
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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The predictive analysis feature needs improvement.

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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.

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Ranking
13th
Views
5,586
Comparisons
5,163
Reviews
2
Average Words per Review
517
Avg. Rating
7.5
17th
Views
2,641
Comparisons
2,001
Reviews
1
Average Words per Review
164
Avg. Rating
7.0
Top Comparisons
Compared 30% of the time.
Also Known As
AWS SageMaker, SageMakerDomino Data Lab Platform
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Amazon
Domino Data Lab
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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.

Domino provides a central system of record that keeps track of all data science activity across an organization. Domino helps data scientists seamlessly orchestrate AWS hardware and software toolkits, increase flexibility and innovation, and maintain required IT controls and standards. Organizations can automatically keep track of all data, tools, experiments, results, discussion, and models, as well as dramatically scale data science investments and impact decision-making across divisions. The platform helps organizations work faster, deploy results sooner, scale rapidly, and reduce regulatory and operational risk.

Offer
Learn more about Amazon SageMaker
Learn more about Domino Data Science Platform
Sample Customers
DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, IntuitAllstate, Tesla, Dell, Moody's Analytics, SurveyMonkey, Eventbrite, Carnival
Top Industries
VISITORS READING REVIEWS
Software R&D Company34%
Media Company15%
Comms Service Provider9%
Retailer8%
VISITORS READING REVIEWS
Software R&D Company40%
Financial Services Firm11%
Manufacturing Company9%
Transportation Company5%
Find out what your peers are saying about Alteryx, Knime, IBM and others in Data Science Platforms. Updated: December 2019.
391,045 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.