Amazon SageMaker vs Domino Data Science Platform comparison

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Executive Summary

We performed a comparison between Amazon SageMaker and Domino Data Science Platform 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: March 2024).
763,955 professionals have used our research since 2012.
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 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.""Feature Store, CodeCommit, versioning, model control, and CI/CD pipelines are the most valuable features in Amazon SageMaker.""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.""The superb thing that SageMaker brings is that it wraps everything well. It's got the deployment, the whole framework.""The few projects we have done have been promising.""The solution is easy to scale...The documentation and online community support have been sufficient for us so far.""The deployment is very good, where you only need to press a few buttons.""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."

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

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Cons
"The solution is complex to use.""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.""Creating notebook instances for multiple users is pretty expensive in Amazon SageMaker.""There are other better solutions for large data, such as Databricks.""The product must provide better documentation.""SageMaker would be improved with the addition of reporting services.""The documentation must be made clearer and more user-friendly."

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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."
  • "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."
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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 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… more »
    Top Answer:There is room for improvement in the pricing. The pricing could be better, especially for querying. The per-query model feels expensive. It would be better to have tiered pricing based on query sets… more »
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    Rating
    7.2
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    Also Known As
    AWS SageMaker, SageMaker
    Domino Data Lab Platform
    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.

    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.

    Sample Customers
    DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit
    Allstate, Tesla, Dell, Moody's Analytics, SurveyMonkey, Eventbrite, Carnival
    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
    Financial Services Firm29%
    Insurance Company11%
    Manufacturing Company10%
    Computer Software Company7%
    Company Size
    REVIEWERS
    Small Business16%
    Midsize Enterprise42%
    Large Enterprise42%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise17%
    Large Enterprise69%
    VISITORS READING REVIEWS
    Small Business9%
    Midsize Enterprise7%
    Large Enterprise84%
    Buyer's Guide
    Data Science Platforms
    March 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: March 2024.
    763,955 professionals have used our research since 2012.

    Amazon SageMaker is ranked 5th in Data Science Platforms with 12 reviews while Domino Data Science Platform is ranked 17th in Data Science Platforms. Amazon SageMaker is rated 7.2, while Domino Data Science Platform is rated 7.0. The top reviewer of Amazon SageMaker writes "It’s low-price point makes it a great entry into machine learning, but it is difficult to learn to use". On the other hand, Amazon SageMaker is most compared with Databricks, Azure OpenAI, Google Vertex AI, Microsoft Azure Machine Learning Studio and Dataiku Data Science Studio, whereas Domino Data Science Platform is most compared with Databricks, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio, Alteryx and Anaconda.

    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.