Domino Data Science Platform vs SAS Visual Data Mining and Machine Learning comparison

Cancel
You must select at least 2 products to compare!
Executive Summary

We performed a comparison between Domino Data Science Platform and SAS Visual Data Mining and Machine Learning 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).
767,319 professionals have used our research since 2012.
Featured Review
Syed-Hussain
Use SAS Visual Data Mining and Machine Learning?
Ranking
18th
Views
2,713
Comparisons
2,334
Reviews
0
Average Words per Review
0
Rating
N/A
26th
Views
428
Comparisons
396
Reviews
0
Average Words per Review
0
Rating
N/A
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.
767,319 professionals have used our research since 2012.
Comparisons
Also Known As
Domino Data Lab Platform
Visual Data Mining and Machine Learning
Learn More
Domino Data Lab
Video Not Available
Overview

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.

SAS Visual Data Mining and Machine Learning combines data wrangling, data exploration, visualization, feature engineering, and modern statistical, data mining and machine learning techniques all in a single, scalable in-memory processing environment. This provides faster, more accurate answers to complex business problems, increased deployment flexibility and one easy-to-administer and fluid IT environment.

Sample Customers
Allstate, Tesla, Dell, Moody's Analytics, SurveyMonkey, Eventbrite, Carnival
Information Not Available
Top Industries
VISITORS READING REVIEWS
Financial Services Firm29%
Insurance Company11%
Manufacturing Company10%
Computer Software Company8%
VISITORS READING REVIEWS
Financial Services Firm20%
Computer Software Company17%
Manufacturing Company10%
Insurance Company8%
Company Size
VISITORS READING REVIEWS
Small Business9%
Midsize Enterprise7%
Large Enterprise84%
VISITORS READING REVIEWS
Small Business16%
Midsize Enterprise9%
Large Enterprise74%
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.
767,319 professionals have used our research since 2012.

Domino Data Science Platform is ranked 18th in Data Science Platforms while SAS Visual Data Mining and Machine Learning is ranked 26th in Data Science Platforms. Domino Data Science Platform is rated 7.0, while SAS Visual Data Mining and Machine Learning is rated 0.0. The top reviewer of Domino Data Science Platform writes "Good scalability and stability but the predictive analysis feature needs improvement". On the other hand, Domino Data Science Platform is most compared with Databricks, Amazon SageMaker, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio and Alteryx, whereas SAS Visual Data Mining and Machine Learning is most compared with Databricks, SAS Visual Analytics, SAS Enterprise Miner, Microsoft Azure Machine Learning Studio and Amazon SageMaker.

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.