We performed a comparison between Alteryx and IBM Watson Studio 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."The connectors are a very good feature."
"Predictive models, which are easy to use, and help a lot with fast design and deployment."
"I like the solution's velocity, the speed with which it processes data, and its ease of use."
"Its initial setup is easy."
"The most valuable feature of Alteryx is its unlimited handling capabilities."
"The modeling features are very good."
"Good data transformation."
"This is a drag-and-drop tool which is easy-to-use and yet can be customized by creating your own components."
"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."
"Stability-wise, it is a great tool."
"It has greatly improved the performance because it is standardized across the company."
"The solution is very easy to use."
"It has a lot of data connectors, which is extremely helpful."
"It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements."
"It is a stable, reliable product."
"It would be great if Alteryx could take third party tools and incorporate them."
"The learning curve is long, and there is lack of e-learning; the tool is not user-friendly to a non-technical user."
"Alteryx is just as complicated as coding, in my opinion."
"Its most valuable feature lies in its functionality."
"I think better visualization would be helpful to this solution."
"There could be a bit of improvement related to performance. Sometimes it demands a lot of resources for running it, like memory and search."
"The GUI interface functions but it could stand to be updated to a more modern look and feel."
"The data integration component could most likely be improved to increase enterprise scalability."
"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."
"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."
"We would like to see it more web-based with more functionality."
"Some of the solutions are really good solutions but they can be a little too costly for many."
"Watson Studio would be improved with a clearer path for the deployment of docker images."
"I think maybe the support is an area where it lacks."
"The decision making in their decision making feature is less good than other options."
"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."
Alteryx is ranked 3rd in Data Science Platforms with 74 reviews while IBM Watson Studio is ranked 11th in Data Science Platforms with 13 reviews. Alteryx is rated 8.4, while IBM Watson Studio is rated 8.2. The top reviewer of Alteryx writes "Feature-rich ETL that condenses a number of functions into one tool". 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". Alteryx is most compared with KNIME, Databricks, Dataiku Data Science Studio, RapidMiner and Microsoft Power BI, whereas IBM Watson Studio is most compared with Databricks, Microsoft Azure Machine Learning Studio, Azure OpenAI, Google Vertex AI and Cloudera Data Science Workbench. See our Alteryx vs. IBM Watson Studio report.
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