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 solution offers excellent predicting power. The accuracy and confidence have been great."
"The product's Macros probably are one of the most useful aspects."
"The value add of Alteryx is the agility for making changes, and speed of deployment."
"I like the fact that you can easily blend data from different platforms."
"The most valuable feature of Alteryx is its stand-alone version that we do not have to download dependencies for loads. Additionally, the scan is useful for beginners."
"The support is very good."
"Alteryx makes it easy for the end customer to see clean data in a structured form."
"The connectors are a very good feature."
"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."
"Watson Studio is very stable."
"Stability-wise, it is a great tool."
"The scalability of IBM Watson Studio is great."
"It has greatly improved the performance because it is standardized across the company."
"It is a stable, reliable product."
"It has a lot of data connectors, which is extremely helpful."
"The event handling, such that the file system watcher, is in need of improvement."
"More statistics tools: We can use to compare SPSS statistics with some automated advisory."
"It's a technical product and those that don't have proper training will have to deal with a steep learning curve."
"Sometimes, there are performance constraints. Especially when a large file has to be ingested, the system slows down a bit. Its performance is the only thing that can be improved."
"It would be nice if they can provide Alteryx with more options for In-DB connectivity. That functionality is there, but it doesn't include all software we are connecting."
"Sometimes workflows tend to queue up, and they tend to get canceled for some reason that we don't know sometimes."
"There is currently no cloud solution and this would be valuable for many clients."
"It would be great to create the final users' visualization within Alteryx."
"I think maybe the support is an area where it lacks."
"Some of the solutions are really good solutions but they can be a little too costly for many."
"The initial setup was complex."
"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."
"We would like to see it more web-based with more functionality."
"The main challenge lies in visibility and ease of use."
"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."
Alteryx is ranked 3rd in Data Science Platforms with 74 reviews while IBM Watson Studio is ranked 10th 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, Azure OpenAI, Microsoft Azure Machine Learning Studio, Google Vertex AI and Cloudera Data Science Workbench. See our Alteryx vs. IBM Watson Studio report.
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