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 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 most valuable feature of Alteryx is user-friendliness."
"The most valuable feature of Alteryx is the intelligence suite."
"Alteryx makes it easy for the end customer to see clean data in a structured form."
"I like the solution's velocity, the speed with which it processes data, and its ease of use."
"The drag-and-drop features are useful for data scientists who do not like to code because it is already in the system."
"The most valuable feature of Alteryx is its unlimited handling capabilities."
"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."
"The solution deployment was straightforward."
"A valuable feature of Tableau is that it is a useful tool for small setups. I shuffle between Tableau and MicroStrategy, so I use Tableau for personal purposes more than enterprise. I like the light version of Tableau for personal usage and doing some use cases on my own. When it comes to something small, I use Tableau for setups, rather than any other tool."
"All features are valuable. It is very user-friendly, and it is mostly drag-and-drop. If we have the dataset available, then we can develop any dashboard very quickly."
"I consider Tableau to be the best analytical tool available. It's really handy to use and can be used by non-technical people."
"The product has the best features for analytical views and filters."
"Data handling, visualizations, and aesthetics of it are the most valuable features."
"You can create attractive dashboards that inform users using Tableau."
"The ability of filtering and segmentation of the data makes it very flexible compared to other tools."
"I'd like it to be easier to work with PDF."
"The data integration component could most likely be improved to increase enterprise scalability."
"There could be a bit of improvement related to performance. Sometimes it demands a lot of resources for running it, like memory and search."
"If there is any way to make the learning curve less steep, that would be ideal."
"We can't browse multiple files. When we deploy a solution on a gallery, let's say I have ten different files, and I have to upload them all at once. This is something that's difficult in the gallery. So case by case, I see some downsides, but often we do something alternative."
"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."
"Alteryx can improve the model management and deployment processing of large workloads."
"Alteryx's predictive data models are pretty average and can be improved."
"The extraction, transformation and loading of data in Tableau takes a lot of time and we do not have confidence that Tableau is showing all the data we need."
"I don't have the ability in Tableau to create a tooltip and see the picture of a piece of jewelry or watch that is a best seller."
"Conditional formatting could be an interesting feature to provide to final users."
"When it comes to visualizations, Tableau has a limitation as compared to Power BI. It has a limited set of visualizations. Power BI has the entire marketplace, so you can connect and import many visualizations and use them, whereas Tableau has only 10 or 15 visualizations. There should be more visualizations, and there should also be data integration with more cloud providers."
"In the next release, there should be more information describing each chart because users have a difficult time telling them apart. They should also include the animations/videos, similar to Power BI."
"The user story model is the most deceptive part of Tableau. It is a big marketing option, however, the reality is that it is not enough."
"Its documentation can be improved so that a user can get a good hands-on experience. Tableau is well documented, and on their website, there are a lot of tutorials that are available for free. I started my learning process through those tutorials, but there are certain loopholes in those tutorials, which only got filled through a couple of good YouTube channels that talk about Tableau. YouTube helped me a lot. So, the documentation could be better, I understand that it is evolving day by day, and with more usage, there would be more such documentation."
"There are not enough language options. It needs to be offered in more than just English."
Alteryx is ranked 1st in Predictive Analytics with 31 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 48 reviews. Alteryx is rated 8.4, while Tableau is rated 8.4. The top reviewer of Alteryx writes "Allows you to organize, document workflows, low-code capabilities, and quick data processing speed". 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 IBM SPSS Statistics, whereas Tableau is most compared with Microsoft BI, Amazon QuickSight, Domo, SAS Visual Analytics and SAP Analytics Cloud. 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.
