SAS Visual Data Mining and Machine Learning vs Starburst Enterprise comparison

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Executive Summary

We performed a comparison between SAS Visual Data Mining and Machine Learning and Starburst Enterprise 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: May 2024).
772,679 professionals have used our research since 2012.
Featured Review
Use SAS Visual Data Mining and Machine Learning?
Prathamesh D Marathe
Quotes From Members
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Here are some excerpts of what they said:
Pricing and Cost Advice
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  • "I haven't personally dealt with the pricing aspects first-hand, but from what I understand, it largely depends on the specifics of your setup, especially the machines you use on AWS. The cost of using Starburst Enterprise can vary based on the amount of data you're processing and the type of machines you opt for, whether on AWS or another cloud platform."
  • More Starburst Enterprise Pricing and Cost Advice →

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    772,679 professionals have used our research since 2012.
    Ranking
    26th
    Views
    411
    Comparisons
    376
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    14th
    Views
    1,635
    Comparisons
    1,495
    Reviews
    1
    Average Words per Review
    747
    Rating
    8.0
    Comparisons
    Also Known As
    Visual Data Mining and Machine Learning
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    Overview

    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.

    Starburst Enterprise is a data analytics platform that enables organizations to access and analyze data from multiple sources, including cloud-based and on-premises data warehouses. It provides a single access point to all data sources, allowing users to query and analyze data without moving it between systems. 

    By providing a unified view, Starburst Enterprise helps organizations make better-informed decisions and improve operational efficiency, leading to better customer insights and more accurate forecasting. Overall, Starburst Enterprise is a powerful tool for organizations looking to unlock the full potential of their data.

    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm17%
    Manufacturing Company10%
    Insurance Company9%
    VISITORS READING REVIEWS
    Financial Services Firm37%
    Computer Software Company11%
    Manufacturing Company5%
    Healthcare Company5%
    Company Size
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise10%
    Large Enterprise73%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise9%
    Large Enterprise76%
    Buyer's Guide
    Data Science Platforms
    May 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: May 2024.
    772,679 professionals have used our research since 2012.

    SAS Visual Data Mining and Machine Learning is ranked 26th in Data Science Platforms while Starburst Enterprise is ranked 14th in Data Science Platforms with 1 review. SAS Visual Data Mining and Machine Learning is rated 0.0, while Starburst Enterprise is rated 8.0. On the other hand, the top reviewer of Starburst Enterprise writes "Handles complex data and improves performance ". SAS Visual Data Mining and Machine Learning is most compared with SAS Visual Analytics, Databricks and SAS Enterprise Miner, whereas Starburst Enterprise is most compared with Dremio, Starburst Galaxy, Alteryx, Databricks and Apache Spark Streaming.

    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.