We performed a comparison between DataRobot and IBM Watson Studio based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Google, TensorFlow and others in AI Development Platforms."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."
"DataRobot can be easy to use."
"It has greatly improved the performance because it is standardized across the company."
"IBM Watson Studio consistently automates across channels."
"For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."
"The scalability of IBM Watson Studio is great."
"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic."
"Watson Studio is very stable."
"The solution is very easy to use."
"It is a stable, reliable product."
"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."
"The initial setup was complex."
"The main challenge lies in visibility and ease of use."
"I think maybe the support is an area where it lacks."
"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."
"Watson Studio would be improved with a clearer path for the deployment of docker images."
"The decision making in their decision making feature is less good than other options."
"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."
"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."
Earn 20 points
DataRobot is ranked 12th in AI Development Platforms while IBM Watson Studio is ranked 7th 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 SAS Predictive Analytics, whereas IBM Watson Studio is most compared with Databricks, Microsoft Azure Machine Learning Studio, Azure OpenAI, Google Vertex AI and Amazon Comprehend.
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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.
