Compare Amazon SageMaker vs. Domino Data Science Platform

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Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: October 2020.
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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
"The few projects we have done have been promising.""They are doing a good job of evolving.""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.""Allows you to create API endpoints.""The deployment is very good, where you only need to press a few buttons."

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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 say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time.""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.""Lacking in some machine learning pipelines.""Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier."

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

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Questions from the Community
Top Answer: Allows you to create API endpoints.
Top Answer: The pricing for the Notebook endpoints is a bit high, but generally reasonable.
Top Answer: The product has come a long way and they've added a lot of things, but in terms of improvement I would like to probably have features such as MLflow embedded into it. Additional features I would like… more »
Top Answer: The scalability of the solution is good; I'd rate it four out of five.
Top Answer: The predictive analysis feature needs improvement.
Top Answer: We primarily use the solution for customer retention, but there are a lot of use cases for this particular product.
Ranking
14th
Views
10,392
Comparisons
9,138
Reviews
4
Average Words per Review
510
Avg. Rating
7.5
20th
Views
3,558
Comparisons
2,688
Reviews
1
Average Words per Review
164
Avg. Rating
7.0
Popular Comparisons
Compared 29% of the time.
Compared 8% 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
Computer Software Company33%
Media Company20%
Comms Service Provider9%
Insurance Company5%
VISITORS READING REVIEWS
Computer Software Company35%
Financial Services Firm11%
Media Company8%
Comms Service Provider6%
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: October 2020.
441,850 professionals have used our research since 2012.
Amazon SageMaker is ranked 14th in Data Science Platforms with 5 reviews while Domino Data Science Platform is ranked 20th 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, Dataiku Data Science Studio, H2O.ai and Cloudera Data Science Workbench, whereas Domino Data Science Platform is most compared with Databricks, Dataiku Data Science Studio, Alteryx, Microsoft Azure Machine Learning Studio and Anaconda.

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