DataRobot vs IBM Predictive Analytics comparison

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Executive Summary

We performed a comparison between DataRobot and IBM Predictive Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Alteryx, SAP, RapidMiner and others in Predictive Analytics.
To learn more, read our detailed Predictive Analytics Report (Updated: March 2024).
765,386 professionals have used our research since 2012.
Featured Review
Anonymous User
Luigi-Esposito
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"DataRobot can be easy to use.""We especially like the initial part of feature engineering, because feature engineering is included in most engines, but DataRobot has an excellent way of picking up the right features."

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"The most valuable feature is the predictive capability in marketing use cases."

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Cons
"The business departments will love to work with DataRobot because they use the tool to investigate their data, such as targeting what they want to investigate. They don't need any data scientists near them. They can investigate at eye level and bring into the BI tool, or can bring it to the data scientist. Data scientists can use this tool to bring increase the solution to the maximum. All the others can use it, but not to the maximum.""If we could include our existing Python or R code in DataRobot, we could make it even better. The DataRobot that we have is specific to an industry, but most of the time we would have our own algorithms, which are specific to our own use case. If we had a way by which we could integrate our proprietary things into DataRobot with a simple integration, it would help us a lot."

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"Using IBM Predictive Analytics requires more skill, resources, and training than some other solutions."

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Pricing and Cost Advice
  • "We dropped the plan to use DataRobot, because we found the pricing to be on the higher sise. We liked DataRobot a lot, but due to the pricing, we dropped that idea."
  • "The price of DataRobot is good because if you take the price of the solution which is approximately $65,000, it is less than a data scientist. There are very few data scientists available."
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    Questions from the Community
    Top Answer:The price of DataRobot is good because if you take the price of the solution which is approximately $65,000, it is less than a data scientist. There are very few data scientists available.
    Top Answer:DataRobot is used to create models and monitor them as an MLOps. Additionally, to work as pre-processing, to create more features based on their data. It's helping build models much better. By using… more »
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    Overview

    DataRobot captures the knowledge, experience and best practices of the world’s leading data scientists, delivering unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users to build and deploy highly accurate machine learning models in a fraction of the time.

    Information Not Available
    Sample Customers
    Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant
    Getin Noble Bank S.A., North Pacific Bank Ltd., RightShip, California Franchise Tax Board, Consolidated Communications, Coherent Path Inc., Rossmann Supermarkety Drogeryjne Polska Sp. z o.o., Tennessee Highway Patrol, Banco de Prevision Social, Comptel Corp.
    Top Industries
    VISITORS READING REVIEWS
    Educational Organization25%
    Financial Services Firm12%
    Computer Software Company8%
    Manufacturing Company6%
    No Data Available
    Company Size
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise28%
    Large Enterprise54%
    No Data Available
    Buyer's Guide
    Predictive Analytics
    March 2024
    Find out what your peers are saying about Alteryx, SAP, RapidMiner and others in Predictive Analytics. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    DataRobot is ranked 5th in Predictive Analytics with 2 reviews while IBM Predictive Analytics is ranked 22nd in Predictive Analytics. DataRobot is rated 8.0, while IBM Predictive Analytics is rated 7.0. The top reviewer of DataRobot writes "Easy to use, priced well, and can be customized". On the other hand, the top reviewer of IBM Predictive Analytics writes "Good prediction capability for marketing purposes, although it needs to be more flexible". DataRobot is most compared with Amazon SageMaker, RapidMiner, Microsoft Azure Machine Learning Studio, Datadog and Alteryx, whereas IBM Predictive Analytics is most compared with .

    See our list of best Predictive Analytics vendors.

    We monitor all Predictive Analytics 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.