Try our new research platform with insights from 80,000+ expert users

Amazon SageMaker vs Domino Data Science Platform comparison

Amazon Web Services (AWS) and Domino Data Lab are both solutions in the Data Science Platforms category. Amazon Web Services (AWS) is ranked #3 with an average rating of 8.0, while Domino Data Lab is ranked #15 with an average rating of 8.0. Amazon Web Services (AWS) holds a 6.9% mindshare in Data Science Platforms, compared to Domino Data Lab’s 2.6% mindshare. Additionally, 91% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Domino Data Lab users who would recommend it.
Amazon SageMaker
Read 37 Amazon SageMaker reviews
  • 5,661 Views
  • 4,573 Comparison Views
91% willing to recommend
Domino Data Science Platform
Read 2 Domino Data Science Platform reviews
  • 1,638 Views
  • 1,449 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

Download the report
Executive SummaryUpdated on Dec 5, 2024

Domino Data Science Platform and Amazon SageMaker are competing solutions in data science and machine learning platforms. Amazon SageMaker is viewed as the more feature-rich product because of its comprehensive capabilities and integration with AWS.

Features: Domino focuses on user-centric features including collaboration capabilities, version control, and team-focused tools. Amazon SageMaker offers automated machine learning processes, extensive integration with other AWS services, and enhanced machine learning lifecycle management.

Ease of Deployment and Customer Service: Amazon SageMaker benefits from a scalable and integrative deployment model, leveraging AWS's global infrastructure and an extensive support ecosystem. Domino emphasizes easy-to-use deployment mechanisms and collaborative workspaces, but its support system is less extensive.

Pricing and ROI: Domino typically requires a higher initial setup cost but offers ROI for organizations focusing on team collaboration. Amazon SageMaker provides flexible pricing aligned with cloud usage, favoring organizations deeply integrated with AWS and offering a scalable pay-as-you-go model.

DOWNLOAD THE COMPLETE REPORT
To learn more, read our detailed Amazon SageMaker vs. Domino Data Science Platform Report (Updated: April 2025).
Buyer's Guide
Amazon SageMaker vs. Domino Data Science Platform
April 2025
Download the complete report
Helped 851,491 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Amazon SageMaker
Ranking in Data Science Platforms
3rd
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
37
Ranking in other categories
AI Development Platforms (5th)
Domino Data Science Platform
Ranking in Data Science Platforms
15th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2025, in the Data Science Platforms category, the mindshare of Amazon SageMaker is 6.9%, down from 9.7% compared to the previous year. The mindshare of Domino Data Science Platform is 2.6%, down from 2.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Featured Reviews

Saurabh Jaiswal - PeerSpot reviewer
Create innovative assistants with seamless data integration for large-scale projects
The various integration options available in Amazon SageMaker ( /products/amazon-sagemaker-reviews ), such as Firehose for connecting to data pipelines, are simple to use. Tools like AWS Glue ( /products/aws-glue-reviews ) integrate well for data transformations. The Databricks ( /products/databricks-reviews ) integration aids data scientists and engineers. SageMaker is fully managed, offers high availability, flexibility with TensorFlow ( /products/tensorflow-reviews ), PyTorch ( /products/pytorch-reviews ), and MXNet ( /products/mxnet-reviews ), and comes with pre-trained algorithms for forecasting, anomaly detection, and more.
Read full review
AS
Accelerated machine learning model development with seamless deployment
We used Domino Data Science Platform for developing and working with machine learning models. It facilitated end-to-end development processes. Domino is based on Git, enabling collaboration similar to using Git. Each user operates on their own equivalent of a branch or fork, and once finished, they…
Read full review

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."
"The technical support of the tool was good."
"Feature Store, CodeCommit, versioning, model control, and CI/CD pipelines are the most valuable features in Amazon SageMaker."
"I have seen a return on investment, probably a factor of four or five."
"SageMaker is a comprehensive platform where I can perform all machine learning activities."
"The most valuable features are the ability to store artifacts and gather reports and measures from experiments."
"We were able to use the product to automate processes."
"The deployment is very good, where you only need to press a few buttons."
More Amazon SageMaker pros
"The workspaces, which are like wrappers of Docker containers, made it easy to start development environments using Domino."
"The scalability of the solution is good; I'd rate it four out of five."
 

Cons

"In my opinion, one improvement for Amazon SageMaker would be to offer serverless GPUs. Currently, we incur costs on an hourly basis. It would be beneficial if the tool could provide pay-as-you-go pricing based on endpoints."
"The main challenge with Amazon SageMaker is the integrations."
"Improvement is needed in the no-code and low-code capabilities of Amazon SageMaker. This would empower citizen data scientists to utilize the tool more effectively since many data scientists do not have a core development background."
"Having all documentation easily accessible on the front page of SageMaker would be a great improvement."
"The main challenge with Amazon SageMaker is the integrations."
"Amazon might need to emphasize its capabilities in generative models more effectively."
"The solution requires a lot of data to train the model."
"The payment and monitoring metrics are a bit confusing not only for Amazon SageMaker but also for the range of other products that fall under AWS, especially for a new user of the product."
More Amazon SageMaker cons
"The predictive analysis feature needs improvement."
"The deployment of large language models (LLMs) could be improved."
 

Pricing and Cost Advice

"The solution is relatively cheaper."
"On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing a six out of ten."
"The support costs are 10% of the Amazon fees and it comes by default."
"The cost offers a pay-as-you-go pricing model. It depends on the instance that you do."
"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 tool's pricing is reasonable."
"You don't pay for Sagemaker. You only pay for the compute instances in your storage."
"There is no license required for the solution since you can use it on demand."
More Amazon SageMaker pricing and cost advice
Information not available
report
See which vendors are best for you
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
See recommendations
851,491 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
18%
Educational Organization
11%
Computer Software Company
11%
Manufacturing Company
8%
Financial Services Firm
36%
Manufacturing Company
11%
Insurance Company
8%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

How would you compare Databricks vs Amazon SageMaker?
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...
See all answers
What do you like most about Amazon SageMaker?
We've had experience with unique ML projects using SageMaker. For example, we're developing a platform similar to ChatGPT that requires models. We utilize Amazon SageMaker to create endpoints for t...
See all answers
What is your experience regarding pricing and costs for Amazon SageMaker?
The pricing is high, around an eight. However, SageMaker offers free trials for the first two months, allowing users to determine which features they need. It is considered value for money given it...
See all answers
What needs improvement with Domino Data Science Platform?
The deployment of large language models (LLMs) could be improved. Currently, Domino provides a simple server that cannot handle big deployments, which is not suitable for LLMs.
See all answers
What is your primary use case for Domino Data Science Platform?
We used Domino Data Science Platform for developing and working with machine learning models. It facilitated end-to-end development processes. Domino is based on Git, enabling collaboration similar...
See all answers
What advice do you have for others considering Domino Data Science Platform?
It's important to have a DevOps team well-versed with cloud-native solutions to manage Domino effectively. Relying solely on data scientists might not be sufficient. I'd rate the solution eight out...
See all answers
 

Comparisons

Databricks vs Amazon SageMaker Logo
Databricks vs Amazon SageMaker
Compared 15% of the time
Azure OpenAI vs Amazon SageMaker Logo
Azure OpenAI vs Amazon SageMaker
Compared 12% of the time
Dataiku vs Amazon SageMaker Logo
Dataiku vs Amazon SageMaker
Compared 11% of the time
Google Vertex AI vs Amazon SageMaker Logo
Google Vertex AI vs Amazon SageMaker
Compared 8% of the time
DataRobot vs Amazon SageMaker Logo
DataRobot vs Amazon SageMaker
Compared 6% of the time
More Amazon SageMaker Competitors
Databricks vs Domino Data Science Platform Logo
Databricks vs Domino Data Science Platform
Compared 26% of the time
Dataiku vs Domino Data Science Platform Logo
Dataiku vs Domino Data Science Platform
Compared 19% of the time
Alteryx vs Domino Data Science Platform Logo
Alteryx vs Domino Data Science Platform
Compared 7% of the time
Microsoft Azure Machine Learning Studio vs Domino Data Science Platform Logo
Microsoft Azure Machine Learning Studio vs Domino Data Science Platform
Compared 5% of the time
Anaconda vs Domino Data Science Platform Logo
Anaconda vs Domino Data Science Platform
Compared 4% of the time
More Domino Data Science Platform Competitors
 

Product Reports

Buyer's Guide
Amazon SageMaker
May 2025
Amazon SageMaker reportDownload Amazon SageMaker product report
Buyer's Guide
Data Science Platforms
May 2025
Domino Data Science Platform reportDownload Domino Data Science Platform product report
 

Also Known As

AWS SageMaker, SageMaker
Domino Data Lab Platform
 

Interactive Demo

Demo not available
Amazon Web Services (AWS)
Domino Data Lab
 

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.

Amazon Web Services (AWS)

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.

Domino Data Lab
 

Sample Customers

DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit
Allstate, GSK, AstraZeneca, Federal Reserve, US Navy, Bristol Myers Squibb, Bayer, BNP Paribas, Moodys, New York Life
Buyer's Guide
Amazon SageMaker vs. Domino Data Science Platform
April 2025
Free Report: Amazon SageMaker vs. Domino Data Science Platform
Find out what your peers are saying about Amazon SageMaker vs. Domino Data Science Platform and other solutions. Updated: April 2025.
DOWNLOAD NOW
851,491 professionals have used our research since 2012.
See our Amazon SageMaker vs. Domino Data Science Platform report.
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.