IBM Watson Studio vs RapidMiner comparison

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3,203 views|2,111 comparisons
100% willing to recommend
RapidMiner Logo
5,569 views|4,500 comparisons
95% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between IBM Watson Studio and RapidMiner based on real PeerSpot user reviews.

Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed IBM Watson Studio vs. RapidMiner Report (Updated: March 2024).
769,976 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic.""It has greatly improved the performance because it is standardized across the company.""IBM Watson Studio consistently automates across channels.""The main benefit is the ease of use. We see a lot of engineers in our site and customers that really like the way the tools are able to work with the people.""The most important thing is that it's a multi-faceted solution. It's a kind of specialist, not a generalist. It can produce very specific information for the customer. It's totally different from Google or any search engine that produces generic information. It's specialty is that it's all on video.""The system's ability to take a look at data, segment it and then use that data very differently.""It is a stable, reliable product.""Stability-wise, it is a great tool."

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"The most valuable feature is what the product sets out to do, which is extracting information and data.""I like not having to write all solutions from code. Being able to drag and drop controls, enables me to focus on building the best model, without needing to search for syntax errors or extra libraries.""The data science, collaboration, and IDN are very, very strong.""It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive.""The most valuable features are the Binary classification and Auto Model.""The most valuable feature of RapidMiner is that it is code free. It is similar to playing with Lego pieces and executing after you are finished to see the results. Additionally, it is easy to use and has interesting utilities when preparing the data. It has a utility to automatically launch a series of models and show the comparisons. When finished with the comparisons you can select the best one, and deploy it automatically.""The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS.""The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."

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Cons
"I think maybe the support is an area where it lacks.""The initial setup was complex.""I want IBM's technical support team to provide more specific answers to queries.""Initially, it was quite complex. For us, it was not only a matter of getting it installed, that was just a start. It was also trying to come up with a standard way of implementing it across the entire organization, which had been a challenge.""So a better user interface could be very helpful""Some of the solutions are really good solutions but they can be a little too costly for many.""It's sometimes easy to get lost given the number of images the solution opens up when you click on the mouse and the amount of different tabs.""The main challenge lies in visibility and ease of use."

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"I would like to see all users have access to all of the deep learning models, and that they can be used easily.""The price of this solution should be improved.""It would be helpful to have some tutorials on communicating with Python.""I would like to see more integration capabilities.""I would appreciate improvements in automation and customization options to further streamline processes.""In the Mexican or Latin American market, it's kind of pricey.""The server product has been getting updated and continues to be better each release. When I started using RapidMiner, it was solid but not easy to set up and upgrade.""If they could include video tutorials, people would find that quite helpful."

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Pricing and Cost Advice
  • "Watson Studio's pricing is reasonable for what you get."
  • "IBM Watson Studio is a reasonably priced product"
  • "IBM Watson Studio is an expensive solution."
  • "The pricing is generally reasonable and straightforward but can vary significantly depending on the specific workloads in use."
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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."
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    Questions from the Community
    Top Answer:From an improvement perspective, I would say that if the deployment environment and IBM Watson Studio's environment are separated, then it would be good. I would like them to be one and offer users a… more »
    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
    10th
    Views
    3,203
    Comparisons
    2,111
    Reviews
    5
    Average Words per Review
    426
    Rating
    8.2
    6th
    Views
    5,569
    Comparisons
    4,500
    Reviews
    5
    Average Words per Review
    346
    Rating
    8.2
    Comparisons
    Also Known As
    Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
    Learn More
    IBM
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    Overview

    IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.

    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
    GroupM, Accenture, Fifth Third Bank
    PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
    Top Industries
    REVIEWERS
    Manufacturing Company22%
    Insurance Company11%
    Marketing Services Firm11%
    Comms Service Provider11%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company12%
    Educational Organization7%
    Manufacturing Company7%
    REVIEWERS
    University43%
    Educational Organization7%
    Computer Software Company7%
    Manufacturing Company7%
    VISITORS READING REVIEWS
    University12%
    Computer Software Company10%
    Educational Organization10%
    Manufacturing Company9%
    Company Size
    REVIEWERS
    Small Business71%
    Large Enterprise29%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise13%
    Large Enterprise67%
    REVIEWERS
    Small Business48%
    Midsize Enterprise19%
    Large Enterprise33%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise13%
    Large Enterprise67%
    Buyer's Guide
    IBM Watson Studio vs. RapidMiner
    March 2024
    Find out what your peers are saying about IBM Watson Studio vs. RapidMiner and other solutions. Updated: March 2024.
    769,976 professionals have used our research since 2012.

    IBM Watson Studio is ranked 10th in Data Science Platforms with 13 reviews while RapidMiner is ranked 6th in Data Science Platforms with 19 reviews. IBM Watson Studio is rated 8.2, while RapidMiner is rated 8.6. The top reviewer of IBM Watson Studio writes "A highly robust and well-documented platform that simplifies the complex world of AI". 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". IBM Watson Studio is most compared with Databricks, Azure OpenAI, Microsoft Azure Machine Learning Studio, Google Vertex AI and Amazon Comprehend, whereas RapidMiner is most compared with KNIME, Alteryx, Dataiku Data Science Studio and Tableau. See our IBM Watson Studio vs. RapidMiner report.

    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.