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 value add of Alteryx is the agility for making changes, and speed of deployment."
"All of the data science features in terms of unioning and joining data together are valuable."
"Alteryx effectively visualizes the flow of data and what happens at each stage. I also like that it's a no-code solution. I also like that you can troubleshoot certain parts of the workflow by putting them in a sandbox."
"The Alteryx designer has been the most useful feature in the solution."
"Alteryx has a good UI. We use it frequently in our projects. The tool comes with drag-and-drop features and is easy to understand for business needs. One situation where Alteryx's advanced analytics capabilities were particularly beneficial for us was during a forecasting project. Unlike Python, which requires coding, Alteryx simplifies the process significantly. With Alteryx, users can adjust parameters within the user interface without writing any code."
"Alteryx is a low-code platform, and that's the biggest reason why we chose it."
"The GUI is simple and it integrates with Python."
"Alteryx helps me do a lot of automation. The best thing about Alteryx is that you don't have to repeat the workflow over and over again. Unlike Excel, where you need to write formulas for each new file, Alteryx follows a consistent process. You can schedule and automate the workflow, even if the files change."
"It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements."
"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."
"It has a lot of data connectors, which is extremely helpful."
"It is a stable, reliable product."
"The system's ability to take a look at data, segment it and then use that data very differently."
"Watson Studio is very stable."
"The solution is very easy to use."
"The most important thing is that it's a multi-faceted solution. It's a kind of specialist, not a generalist. It can produce very specific information for the customer. It's totally different from Google or any search engine that produces generic information. It's specialty is that it's all on video."
"The solution could improve in the visualization."
"Sometimes workflows tend to queue up, and they tend to get canceled for some reason that we don't know sometimes."
"I think they should really work on integrating or have a capacity to integrate some algorithmic code. I think that's one of the most important things they need to be doing."
"The server is too expensive for what you get and it really a designer desktop on a server."
"Its most valuable feature lies in its functionality."
"Alteryx can improve the model management and deployment processing of large workloads."
"There are a few hiccups with specific data sets and languages or formats that the data comes in. That may be a minor problem, but we can work through it. We had some issues looking at XML format in added data, but it wasn't significant."
"More statistics tools: We can use to compare SPSS statistics with some automated advisory."
"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."
"The main challenge lies in visibility and ease of use."
"I want IBM's technical support team to provide more specific answers to queries."
"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."
"The decision making in their decision making feature is less good than other options."
"Watson Studio would be improved with a clearer path for the deployment of docker images."
"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 9th 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 Qlik Sense, whereas IBM Watson Studio is most compared with Microsoft Azure Machine Learning Studio, Databricks, Azure OpenAI, Google Vertex AI and Anaconda. See our Alteryx vs. IBM Watson Studio report.
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