We performed a comparison between Alteryx and Teradata Analytics [EOL] 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 for me is integration."
"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."
"Alteryx is so advanced. It's just drag and drop."
"The drag-and-drop features are useful for data scientists who do not like to code because it is already in the system."
"The tools are built-in. You just plug and play, drag and drop, once you understand how to use the tools, it is easy."
"The most valuable feature of Alteryx is the intelligence suite."
"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."
"The value add of Alteryx is the agility for making changes, and speed of deployment."
"It has been fantastic for running complete data sets (no sampling required)."
"Provides ease of formulating a solution based on SQL-like queries."
"nPath has made journey/path analysis much easier."
"The solution just lacks in terms of data visualization. That is why we use Tableau and Qlik in our organization. They help to pick up the slack. If data visualization was added, Alteryx would be a very good tool, and much more complete."
"The server is too expensive for what you get and it really a designer desktop on a server."
"There's a big jump in terms of pricing between license tiers. I'm not sure I understand why the price jumps are so high."
"The event handling, such that the file system watcher, is in need of improvement."
"Alteryx's predictive data models are pretty average and can be improved."
"Its most valuable feature lies in its functionality."
"The solution could work on the BI side of the tool to make it a bit better."
"Alteryx can improve in data science. They have to have more features and components in the data science aspect because they claim to be a data science tool. However, in order to be more competitive, they have to improve on their data science propositions. Thre are other solutions on the market, such as other players in the market, Data2Go or DataIQ, and Alteryx needs to catch up."
"I have found some problems with the figures depicted on graphs and figures shown, like scores which could not be negative but which were depicted as such."
"I would like to see more/better documentation. They also need to enhance analytic/data science algorithms."
"We have struggled with uptime. Some of the features need to be updated."
Earn 20 points
Alteryx is ranked 1st in Predictive Analytics with 74 reviews while Teradata Analytics [EOL] doesn't meet the minimum requirements to be ranked in Predictive Analytics. Alteryx is rated 8.4, while Teradata Analytics [EOL] is rated 7.0. 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 Teradata Analytics [EOL] writes "Streamlines formulating solutions based on SQL-like queries". Alteryx is most compared with KNIME, Databricks, Dataiku Data Science Studio, RapidMiner and Microsoft Power BI, whereas Teradata Analytics [EOL] is most compared with . See our Alteryx vs. Teradata Analytics [EOL] report.
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