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 feature that I have found most valuable for Alteryx is its geo-referencing feature, it is very good. I use it a lot, especially for supply chain."
"You get more support with Alteryx, and it's good for non-sophisticated users who can benefit from the support included in the price."
"The initial setup is easy."
"The philosophy of the citizen data scientist is the key piece, which means the no-code analytics capability. This is the feature that attracted us the most."
"Alteryx's connectivity is essential. We like the ability to connect the solution to multiple sources. It's easier than other data modeling and extraction solutions. It's built on a self-service concept, so it's easy for anyone to open the tool and directly import or export data from it."
"It has everything that one needs. Whatever you want to do with the data can be done with Alteryx."
"I believe that the ability to leverage the gallery for scalability, as well as the general data blending functionality, is most beneficial to our core-based users."
"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."
"It has been fantastic for running complete data sets (no sampling required)."
"nPath has made journey/path analysis much easier."
"Provides ease of formulating a solution based on SQL-like queries."
"The formula we currently use in Alteryx can be automated."
"The solution could work on the BI side of the tool to make it a bit better."
"The workflow and pipeline need to improve."
"Alteryx can improve the model management and deployment processing of large workloads."
"I honestly can't think of anything that needs to be improved."
"It is a little bit pricey."
"The server is too expensive for what you get and it really a designer desktop on a server."
"There could be a bit of improvement related to performance. Sometimes it demands a lot of resources for running it, like memory and search."
"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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