Angoss KnowledgeENTERPRISE [EOL] vs SAP Predictive Analytics comparison

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Executive Summary

We performed a comparison between Angoss KnowledgeENTERPRISE [EOL] and SAP Predictive Analytics 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).
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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
Information Not Available
  • "A free trial version is available for testing out this solution."
  • "The pricing is reasonable"
  • More SAP Predictive Analytics Pricing and Cost Advice →

    Ranking
    Unranked
    In Data Science Platforms
    24th
    Views
    491
    Comparisons
    421
    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.
    768,740 professionals have used our research since 2012.
    Comparisons
    Also Known As
    KnowledgeENTERPRISE, Datawatch Angoss, Angoss KnowledgeENTERPRISE
    SAP BusinessObjects Predictive Analytics, BusinessObjects Predictive Analytics, BOPA
    Learn More
    Overview

    KnowledgeENTERPRISE is a comprehensive data science platform that is integrated with Spark technology to provide unprecedented analytics and data processing capabilities. Its in-place analysis capability on distributed data eliminates data movement and allows users to stay within their Big Data environments.

    This single, fully-integrated software solution enables access to open source machine-learning libraries, Big Data technologies, collaboration and governance features, comprehensive advanced analytics functionality, and numerous deployment options allowing users to overcome challenges in Big Data ingestion, access, and results interpretation. 

    SAP® Predictive Analytics software brings predictive insight to business users, analysts, data scientists, and developers in your company. Unlock the potential of Big Data from virtually any source with the power of predictive automation. By automating the building and management of sophisticated predictive models to deliver insight in real time, this software makes it easier to make better, more profitable decisions across the enterprise.

    Sample Customers
    Barclays, ANZ, Fidelity, Comcast, Rogers, T-Mobile, DirecTV
    mBank
    Top Industries
    No Data Available
    VISITORS READING REVIEWS
    Financial Services Firm12%
    Educational Organization12%
    Comms Service Provider9%
    University9%
    Company Size
    No Data Available
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise13%
    Large Enterprise73%
    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.

    Angoss KnowledgeENTERPRISE [EOL] doesn't meet the minimum requirements to be ranked in Data Science Platforms while SAP Predictive Analytics is ranked 24th in Data Science Platforms. Angoss KnowledgeENTERPRISE [EOL] is rated 0.0, while SAP Predictive Analytics is rated 8.6. On the other hand, the top reviewer of SAP Predictive Analytics writes "Easy to implement, good data forecasting and reporting". Angoss KnowledgeENTERPRISE [EOL] is most compared with Analance, whereas SAP Predictive Analytics is most compared with IBM Watson Studio, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Domino Data Science Platform 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.