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 solution offers excellent predicting power. The accuracy and confidence have been great."
"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."
"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."
"The Alteryx designer has been the most useful feature in the solution."
"It has everything that one needs. Whatever you want to do with the data can be done with Alteryx."
"Alteryx is so advanced. It's just drag and drop."
"The most valuable feature for me is integration."
"The solution has a very strong community that is involved in the product. It helps make the usage easier and helps us find answers to our questions."
"The dashboards are amazing, with different report types and stunning visuals. Most importantly, Tableau's AI with machine learning automatically predicts features and reports based on historical data. These are the three most valuable features for me."
"The action feature which Tableau has is very useful for us. If we click on one visualization, it will pass the value to another visualization. That interactivity within different visualizations is the most valuable feature of Tableau."
"Tableau has greatly enhanced our organization's data-driven decision-making processes by enabling us to create visually compelling reports and dashboards."
"From the data science point of view, we use it for model building purposes. For example, if we are using it for a bank and we want to understand how much loan the bank can provide, we can use visualization to show the educational qualification, salary, gender, and city of a customer, and by using this information, we can arrive at the loan amount that this person is eligible for. I can also use it to view all prospective customers, so essentially, this is going to help me in model building as well as in understanding and segmenting customers and doing forecasting and predictive analytics. We use model widgets, and we can create thousands of visualizations, such as motion charts and bubble charts. We can also create animated versions of the graphs and view the data from multiple dimensions. These are the features that we typically use and like."
"Tableau will automatically show charts for the related data that I choose making it very easy to use."
"It is a stable solution."
"It's intuitive and highly mature"
"Tableau is very good in the front-end visualization compared to Power BI."
"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."
"We are hoping that the NLP features will also support Chinese characters."
"The data integration component could most likely be improved to increase enterprise scalability."
"I honestly can't think of anything that needs to be improved."
"The principal problem is the pricing. They're expensive products."
"There are no ready models to use in analytics."
"The scalability worries me a lot at the moment because the cost of the solution is high and it is not growing considerably. Unfortunately, we started during early COVID times and because of the economic downturn, all the cost cuttings, and everything, it is not growing as expected."
"It would be great if Alteryx could take third party tools and incorporate them."
"There could be improvements on the mobile application, it is lacking features."
"When we put more information on a single screen, it gets compressed and superimposed in many places while scrolling."
"When compared to Power BI, it is less user-friendly."
"From the developer perspective, the data connection handling the target data set is what most needs to be improved."
"I would like them to include the Italian language, as I can see there are other foreign language in the product."
"Tableau is an end-to-end analytics platform, and it is doing a pretty good job in terms of connecting to the data and analyzing it. It can, however, do better in terms of data management and the ETL features, which are not on the advanced analytics or machine learning side. Tableau Prep is where users would want to see more advancements. They can improve Tableau Prep, which is an analytic platform tool for data cleansing. People who work with data spend most of their time curating the data. Cleaning up the data and getting it ready for analysis is what takes the most time. If Tableau can invest more time in improving the Tableau Prep platform, it would be great. Previously, Tableau didn't have the functionality for writing to a database. So, you couldn't really alter the database tables and write to your database, but they fixed that in one of the very recent releases. However, it isn't really advanced and should be improved."
"When there are millions of records, scaling up is quite difficult."
"The pricing is a bit higher than the competition. They'll need to lower it to stay competitive."
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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