We performed a comparison between DataRobot and IBM Watson Studio based on real PeerSpot user reviews.
Find out in this report how the two AI Development Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."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."
"It has greatly improved the performance because it is standardized across the company."
"The scalability of IBM Watson Studio is great."
"It has a lot of data connectors, which is extremely helpful."
"IBM Watson Studio consistently automates across channels."
"The solution is very easy to use."
"Stability-wise, it is a great tool."
"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."
"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic."
"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."
"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."
"The solution's interface is very slow at times."
"The initial setup was complex."
"We would like to see it less as one big, massive product, but more based on smaller services that we can then roll out to consumers."
"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."
"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."
"I think maybe the support is an area where it lacks."
"So a better user interface could be very helpful"
"The decision making in their decision making feature is less good than other options."
Earn 20 points
DataRobot is ranked 13th in AI Development Platforms while IBM Watson Studio is ranked 8th in AI Development Platforms with 13 reviews. DataRobot is rated 8.0, while IBM Watson Studio is rated 8.2. The top reviewer of DataRobot writes "Easy to use, priced well, and can be customized". On the other hand, the top reviewer of IBM Watson Studio writes "A highly robust and well-documented platform that simplifies the complex world of AI". DataRobot is most compared with Amazon SageMaker, RapidMiner, Microsoft Azure Machine Learning Studio, Datadog and Alteryx, whereas IBM Watson Studio is most compared with Databricks, Azure OpenAI, Microsoft Azure Machine Learning Studio, Google Vertex AI and Amazon Comprehend. See our DataRobot vs. IBM Watson Studio report.
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We monitor all AI Development 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.
