Angoss KnowledgeENTERPRISE [EOL] vs RapidMiner comparison

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5,674 views|4,546 comparisons
95% willing to recommend
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Executive Summary

We performed a comparison between Angoss KnowledgeENTERPRISE [EOL] and RapidMiner based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.
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Pricing and Cost Advice
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  • "I used an educational license for this solution, which is available free of charge."
  • "Although we don't pay licensing fees because it is being used within the university, my understanding is that the cost is between $5,000 and $10,000 USD per year."
  • "The client only has to pay the licensing costs. There are not any maintenance or hidden costs in addition to the license."
  • "For the university, the cost of the solution is free for the students and teachers."
  • More RapidMiner Pricing and Cost Advice →

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    Top Answer:What I like about RapidMiner is its all-in-one nature, which allows me to prepare, extract, transform, and load data within the same tool.
    Top Answer:I would appreciate improvements in automation and customization options to further streamline processes. Additionally, it can be challenging to structure formulas and access certain metrics, requiring… more »
    Ranking
    Unranked
    In Data Science Platforms
    7th
    Views
    5,674
    Comparisons
    4,546
    Reviews
    5
    Average Words per Review
    346
    Rating
    8.2
    Comparisons
    Also Known As
    KnowledgeENTERPRISE, Datawatch Angoss, Angoss KnowledgeENTERPRISE
    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. 

    RapidMiner's unified data science platform accelerates the building of complete analytical workflows - from data prep to machine learning to model validation to deployment - in a single environment, improving efficiency and shortening the time to value for data science projects.

    Sample Customers
    Barclays, ANZ, Fidelity, Comcast, Rogers, T-Mobile, DirecTV
    PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
    Top Industries
    No Data Available
    REVIEWERS
    University46%
    Energy/Utilities Company8%
    Educational Organization8%
    Engineering Company8%
    VISITORS READING REVIEWS
    University11%
    Computer Software Company11%
    Educational Organization10%
    Manufacturing Company9%
    Company Size
    No Data Available
    REVIEWERS
    Small Business50%
    Midsize Enterprise20%
    Large Enterprise30%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise13%
    Large Enterprise67%
    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.
    767,995 professionals have used our research since 2012.

    Angoss KnowledgeENTERPRISE [EOL] doesn't meet the minimum requirements to be ranked in Data Science Platforms while RapidMiner is ranked 7th in Data Science Platforms with 19 reviews. Angoss KnowledgeENTERPRISE [EOL] is rated 0.0, while RapidMiner is rated 8.6. On the other hand, the top reviewer of RapidMiner writes "Offers good tutorials that make it easy to learn and use, with a powerful feature to compare machine learning algorithms". Angoss KnowledgeENTERPRISE [EOL] is most compared with Analance, whereas RapidMiner is most compared with KNIME, Alteryx, Dataiku Data Science Studio, Tableau and Microsoft Azure Machine Learning Studio.

    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.