• Home
  • SAS Enterprise Miner vs. SAS Visual Data Mining and Machine Learning

SAS Enterprise Miner vs SAS Visual Data Mining and Machine Learning comparison

Cancel
You must select at least 2 products to compare!
Comparison Buyer's Guide
Download the complete report
Buyer's Guide
Data Science Platforms
April 2024
Executive Summary

We performed a comparison between SAS Enterprise Miner 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).
Download the complete report
767,667 professionals have used our research since 2012.
Featured Review
Anonymous User
Researched SAS Visual Data Mining and Machine Learning but chose SAS Enterprise Miner: Good GUI, an easy initial setup, and very flexible
Use SAS Visual Data Mining and Machine Learning?
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
  • "This solution is for large corporations because not everybody can afford it."
  • "The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."
  • "The solution must improve its licensing models."

    • More SAS Enterprise Miner 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
    767,667 professionals have used our research since 2012.
    Questions from the Community
    What do you like most about SAS Enterprise Miner?
    Top Answer:I like the way the product visually shows the data pipeline.
    Read all 11 answers   →
    What is your experience regarding pricing and costs for SAS Enterprise Mi...
    Top Answer:The solution must improve its licensing models. It bundles all the products into smaller products. We can only have a subset of the functionality available according to our license. I rate the pricing… more »
    Read all 7 answers   →
    What needs improvement with SAS Enterprise Miner?
    Top Answer:The product must provide better integration with cloud-native technologies.
    Read all 11 answers   →
    Ask a question

    Earn 20 points

    Ranking
    15th
    out of 53 in Data Science Platforms
    Views
    1,119
    Comparisons
    911
    Reviews
    2
    Average Words per Review
    310
    Rating
    8.5
    26th
    out of 53 in Data Science Platforms
    Views
    428
    Comparisons
    396
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Enterprise Miner
    Visual Data Mining and Machine Learning
    Learn More
    SAS
    SAS
    Overview
    SAS Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.

    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
    Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
    Information Not Available
    Top Industries
    REVIEWERS
    Financial Services Firm44%
    Retailer22%
    University22%
    Media Company11%
    VISITORS READING REVIEWS
    Financial Services Firm23%
    University12%
    Educational Organization8%
    Insurance Company7%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company17%
    Manufacturing Company10%
    Insurance Company8%
    Company Size
    REVIEWERS
    Small Business21%
    Midsize Enterprise29%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise10%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise9%
    Large Enterprise74%
    Buyer's Guide
    Data Science Platforms
    April 2024
    Download Free Report
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    DOWNLOAD NOW
    767,667 professionals have used our research since 2012.

    SAS Enterprise Miner is ranked 15th in Data Science Platforms with 13 reviews while SAS Visual Data Mining and Machine Learning is ranked 26th in Data Science Platforms. SAS Enterprise Miner is rated 7.6, while SAS Visual Data Mining and Machine Learning is rated 0.0. The top reviewer of SAS Enterprise Miner writes "A stable product that is easy to deploy and can be used for structured and unstructured data mining". On the other hand, SAS Enterprise Miner is most compared with SAS Visual Analytics, IBM SPSS Modeler, RapidMiner, Microsoft Azure Machine Learning Studio and Weka, whereas SAS Visual Data Mining and Machine Learning is most compared with Databricks, SAS Visual Analytics, 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.