Amazon SageMaker vs Domino Data Science Platform comparison

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Amazon Web Services (AWS) Logo
11,742 views|9,310 comparisons
83% willing to recommend
Domino Data Lab Logo
2,713 views|2,334 comparisons
100% willing to recommend
Comparison Buyer's Guide
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: April 2024).
768,740 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
"Allows you to create API endpoints.""The few projects we have done have been promising.""We've had no problems with SageMaker's stability.""We were able to use the product to automate processes.""The most valuable feature of Amazon SageMaker is its integration. For example, AWS Lambda. Additionally, we can write Python code.""The solution's ability to improve work at my organization stems from the ensemble model and a combination of various models it provides.""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."

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

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Cons
"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 solution requires a lot of data to train the model.""SageMaker would be improved with the addition of reporting services.""The solution is complex to use.""There are other better solutions for large data, such as Databricks.""Amazon SageMaker could improve in the area of hyperparameter tuning by offering more automated suggestions and tips during the tuning process.""The solution needs to be cheaper since it now charges per document for extraction.""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."

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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 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 »
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    Views
    11,742
    Comparisons
    9,310
    Reviews
    11
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    536
    Rating
    7.2
    18th
    Views
    2,713
    Comparisons
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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 Company8%
    Company Size
    REVIEWERS
    Small Business15%
    Midsize Enterprise40%
    Large Enterprise45%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise17%
    Large Enterprise68%
    VISITORS READING REVIEWS
    Small Business9%
    Midsize Enterprise7%
    Large Enterprise85%
    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.
    768,740 professionals have used our research since 2012.

    Amazon SageMaker is ranked 5th in Data Science Platforms with 18 reviews while Domino Data Science Platform is ranked 18th 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 "Easy to use and manage, but the documentation does not have a lot of information". 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, 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 KNIME.

    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.