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."Geo features have made spatial mapping large retail universes possible."
"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."
"Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful."
"The drag-and-drop functionality, the ready-to-use analytics module, and the ability to track my data pipelines visually are the solution's most valuable features."
"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 scheduling feature for the automation is excellent."
"The ease-of-use allows non-technical business users to directly create their own solutions without the use of additional development resources."
"The solution offers excellent predicting power. The accuracy and confidence have been great."
"The most valuable feature is the interface, which is user-friendly and intuitive."
"Tableau has comprehensive, insightful charts, which allow you to build stunning dashboards and enrich your support decision-making."
"Its performance is pretty good, and the development time is very low."
"Its visualizations are good, and its features make the development process a little less time-consuming. It has an in-memory extract feature that allows us to extract data and keep it on the server, and then our users can use it quickly."
"When compared with Power BI, Tableau is much easier."
"It is a stable solution."
"The Web Editing capabilities allow us to grant end users enough capabilities for them to do self-serve discovery without the added cost of needing to get everyone desktop licenses."
"While using this solution I have found the valuable features to be ease of use and the visualization. It is a complete solution."
"The workflow and pipeline need to improve."
"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."
"What they're struggling with is it's not as mature as Tableau in the user management area. It was tougher to manage the server part of it right away, especially since the user base has grown."
"In the database, it should be more functional and connect to more big data, especially using IPI."
"The data integration component could most likely be improved to increase enterprise scalability."
"Alteryx's predictive data models are pretty average and can be improved."
"There are a few imputation techniques which they really need to include."
"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 tool's OpenAI integration was announced last year. However, it is late. Tableau is a good solution for end customers. However, there are some concerns regarding the stability and performance of its server architecture, including SaaS services. The server side appears unstable, and performance issues are noticeable, often accompanied by unclear error messages."
"The price could be better."
"Users would like to be able to export an Excel file when they see a table or something like that. That's not an out-of-the-box feature for Tableau."
"The product's features for cloud integration need improvement."
"If I have to develop any, for example, pie charts, I can develop them just fine. However, if I have to develop a donut chart, that I cannot do it in a simple way. There are tricks that I need to use if I have to design a donut chart. It should be more flexible and provide more visualization options."
"Its price is a concern. It is more expensive than Power BI. The other thing that I never liked about Tableau is its ability to handle large sets of data. To present the data in the dashboards, we have to stage it up exactly like it is going to come into the dashboard. We use another tool called Alteryx that does that for us. So, we manipulate the data, get it staged, and then push it into Tableau. Tableau is terrible at handling large data sets, and we knew right away that we couldn't use Tableau to do data manipulation."
"I would like Tableau to handle geospatial data better in terms of multiple layers and shapefiles."
"To be the best in the market, Tableau has to improve its user interface and also look into developing implementing the best machine learning algorithms."
Alteryx is ranked 1st in Predictive Analytics with 74 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 292 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 Data Science Studio, 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.
We monitor all Predictive Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.