We performed a comparison between Alteryx and Tableau based on real PeerSpot user reviews.
Find out in this report how the two Predictive Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The modeling features are very good."
"This is a drag-and-drop tool which is easy-to-use and yet can be customized by creating your own components."
"Alteryx has helped us spend more time identifying results instead of performing analysis manually. It has helped us in our loading process, including scrubbing data and identifying data elements that need to be corrected. It enables us to understand our data sets a lot better."
"I like the fact that you can easily blend data from different platforms."
"All of the data science features in terms of unioning and joining data together are valuable."
"It's super easy to learn how to use it — the learning curve is very small."
"The ease-of-use allows non-technical business users to directly create their own solutions without the use of additional development resources."
"Predictive models, which are easy to use, and help a lot with fast design and deployment."
"The solution has great features which nobody can beat, you can do a lot of customizations, such as use different dimensions and colorize them. Additionally, you can use the numeric values for the customization, which is an exceptional feature."
"Better interaction and less time spent with end users."
"I like the calculation feature. I would not say it's such a good feature in Tableau, but if you have the knowledge, you can make that feature visible to everyone. It's not a feature that we can drag and drop and get the information. But whatever the data, whatever the calculation, I'm able to do. It's basically the knowledge base. Whatever knowledge I have, I can make that information public and publish it for management."
"The feature that is currently most valuable is the import feature where I can link to an Excel data source. I'm not using it with any other data source, such as SQL Server. I directly link it to an Excel sheet, and if I change anything in that Excel sheet, the changed data immediately gets reflected in the virtualization. This is something that is very convenient for me as of now."
"Data handling, visualizations, and aesthetics of it are the most valuable features."
"The product has the best features for analytical views and filters."
"The solution helps users create dashboards and analyze data without relying on IT or product teams."
"I have found many of the self-service features valuable."
"The solution can be quite complex in some aspects."
"When a process completes there is a notification, but the notification does not include the process's name."
"The principal problem is the pricing. They're expensive products."
"The server is too expensive for what you get and it really a designer desktop on a server."
"The screen when you are looking into your workflows and your ETL processes needs to be improved. You cannot manage it very well."
"Configuration is very low."
"Alteryx's predictive data models are pretty average and can be improved."
"All of the reports are migrated or exported in an Excel file, and most of the time, a business intelligence tool is required. They could have better reporting. The aesthetic could be improved."
"The forecasting feature in Tableau in my view is too limited because it must have dates but I should be able to predict the outcome of an event without having a date as part of the input."
"We have products like Tableau, Power BI, Cognos, and QlikView in the data visualization segment. Compared to those, Tableau is quite costly."
"It is not so great when it comes to data exchange/integration, data mining, etc."
"When you create new fields in Tableau and you enter the formulas, there is a new small window that is there in the interface. You can enter the calculated fields, it could be more user-friendly. At this time it is limited and hard to understand at the beginning. The fields should be easier to use, such as in Microsoft Excel. You can have a difficult time understanding what to do in the fields, you end up doing trial and error to figure it out."
"The customization requires a lot of effort and should be simplified. The performance could be better."
"In the cloud sometimes the performance is a little bit slow."
"I take a long time to process the hundreds of thousands or millions of records that must be processed every day."
"If you mainly need a tool for BI reporting, it's not the best option. Tableau needs better abilities to generate simple reports, integrate, create databases, and work with data lakes."
Alteryx is ranked 1st in Predictive Analytics with 74 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 293 reviews. Alteryx is rated 8.4, while Tableau is rated 8.4. 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 Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". Alteryx is most compared with KNIME, Databricks, Dataiku, RapidMiner and SAS Enterprise Guide, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and Databricks. See our Alteryx vs. Tableau report.
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