We performed a comparison between SAP Predictive Analytics and Teradata Analytics [EOL] based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The most valuable features are the analytics and reporting."
"I think the features of the actual ability to forecast and pull trends and correlations has been really good."
"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."
"This solution works for acquired data but not live, real-time data."
"We have struggled with uptime. Some of the features need to be updated."
"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."
SAP Predictive Analytics is ranked 24th in Data Science Platforms while Teradata Analytics [EOL] doesn't meet the minimum requirements to be ranked in Data Science Platforms. SAP Predictive Analytics is rated 8.6, while Teradata Analytics [EOL] is rated 7.0. The top reviewer of SAP Predictive Analytics writes "Easy to implement, good data forecasting and reporting". On the other hand, the top reviewer of Teradata Analytics [EOL] writes "Streamlines formulating solutions based on SQL-like queries". SAP Predictive Analytics is most compared with IBM Watson Studio, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Domino Data Science Platform and KNIME, whereas Teradata Analytics [EOL] is most compared with .
We monitor all Data Science Platforms 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.
