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."
"For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."
"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic."
"The system's ability to take a look at data, segment it and then use that data very differently."
"It is a very stable and reliable solution."
"It has greatly improved the performance because it is standardized across the company."
"It is a stable, reliable product."
"IBM Watson Studio consistently automates across channels."
"It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements."
"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."
"I want IBM's technical support team to provide more specific answers to queries."
"The main challenge lies in visibility and ease of use."
"The initial setup was complex."
"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."
"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."
"Some of the solutions are really good solutions but they can be a little too costly for many."
"I think maybe the support is an area where it lacks."
"We would like to see it more web-based with more functionality."
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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