We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
Pros | |
"The solution is very easy to use." "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 scalability of IBM Watson Studio is great." "The system's ability to take a look at data, segment it and then use that data very differently." "IBM Watson Studio consistently automates across channels." "It has a lot of data connectors, which is extremely helpful." | "The documentation for this solution is very good, where each operator is explained with how to use it." "RapidMiner is very easy to use." "The most valuable features are the Binary classification and Auto Model." "The most valuable feature is what the product sets out to do, which is extracting information and data." "The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS." "Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations." "The best part of RapidMiner is efficiency." "The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model." |
Cons | |
"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier." "So a better user interface could be very helpful" "The decision making in their decision making feature is less good than other options." "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." "Some of the solutions are really good solutions but they can be a little too costly for many." "The initial setup was complex." | "The price of this solution should be improved." "I would like to see all users have access to all of the deep learning models, and that they can be used easily." "RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models." "A great product but confusing in some way with regard to the user interface and integration with other tools." "It would be helpful to have some tutorials on communicating with Python." "The visual interface could use something like the-drag-and-drop features which other products already support. Some additional features can make RapidMiner a better tool and maybe more competitive." "I think that they should make deep learning models easier." "The biggest problem, not from a platform process, but from an avoidance process, is when you work in a heavily regulated environment, like banking and finance. Whenever you make a decision or there is an output, you need to bill it as an avoidance to the investigator or to the bank audit team. If you made decisions within this machine learning model, you need to explain why you did so. It would better if you could explain your decision in terms of delivery. However, this is an issue with all ML platforms. Many companies are working heavily in this area to help figure out how to make it more explainable to the business team or the regulator." |
Pricing and Cost Advice | |
Information Not Available | "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." |
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs. 456,966 professionals have used our research since 2012. | |
Questions from the Community | |
Top Answer: It has a lot of data connectors, which is extremely helpful. Top Answer: It will come down again to cost. Some of the solutions are really good solutions but they can be a little too costly for many. I think a lot of software vendors have considered having special pricing… more » Top Answer: The initial setup was complex. | Top Answer: The best part of RapidMiner is efficiency. Top Answer: I have the deep learning models on my laptop but it doesn't work very well. I think that they should make deep learning models easier. They are using deep learning models today for image processing… more » Top Answer: The primary use case of RapidMiner is for teaching. I select data and give it to the students to clean. They use several algorithms, they compact them, they evaluate them, then give the results to me. |
Ranking | |
Views 5,356 Comparisons 4,275 Reviews 5 Average Words per Review 468 Rating 8.2 | Views 9,159 Comparisons 7,363 Reviews 8 Average Words per Review 657 Rating 8.4 |
Popular Comparisons | |
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Also Known As | |
Watson Studio, IBM Data Science Experience, Data Science Experience, DSx | |
Learn | |
IBM | RapidMiner |
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. |
Offer | |
Learn more about IBM Watson Studio | Learn more about RapidMiner |
Sample Customers | |
GroupM, Accenture, Fifth Third Bank | PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen |
Top Industries | |
Computer Software Company26% Comms Service Provider22% Retailer7% Financial Services Firm6% | University43% Energy/Utilities Company14% Educational Organization14% Engineering Company14% Computer Software Company24% Comms Service Provider19% University10% Government6% |
Company Size | |
Small Business78% Large Enterprise22% | Small Business58% Midsize Enterprise8% Large Enterprise33% Small Business32% Midsize Enterprise3% Large Enterprise65% |
IBM Watson Studio is ranked 10th in Data Science Platforms with 6 reviews while RapidMiner is ranked 7th in Data Science Platforms with 8 reviews. IBM Watson Studio is rated 8.2, while RapidMiner is rated 8.4. The top reviewer of IBM Watson Studio writes "Machine learning that can be applicable for other data sets without having to carry out the process all over again". 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 Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Amazon SageMaker, Dataiku Data Science Studio and Anaconda, whereas RapidMiner is most compared with KNIME, Alteryx, Dataiku Data Science Studio and IBM SPSS Modeler. See our IBM Watson Studio vs. RapidMiner report.
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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.