What is better TROVE or IBM Predictive Analytics? You have such a wide range of Predictive Analysis Software alternatives in today’s market that deciding on the best product may be frustrating. On our comparison page, you can easily compare the functions, terms and conditions, available plans, and more details of TROVE and IBM Predictive Analytics.
It’s also possible to evaluate their score (7.4 for TROVE vs. 9.4 for IBM Predictive Analytics) and user satisfaction level (100% for TROVE vs. 95% for IBM Predictive Analytics). The scores and ratings offer you a general idea how these two software products perform. Moreover, make sure if the solution can integrate with your current business apps to ensure greater productivity.
We realize that not all people have the time to test dozens of various products, so we came up with a list of recommendations that you may find useful. Our top choices for the Predictive Analysis Software category are: Sisense, Microsoft Azure Machine Learning Studio, Wolfram Mathematica.
IBM Predictive Analytics offers a detailed enterprise pricing structure that features both quote based and subscription-based pricing. Apart from the IBM SPSS Statistics, all the other products in the suite offer subscription-based pricing.
IBM SPSS Statistics @ $99/month
IBM SPSS Modeler @ quote based
IBM SPSS Analytic Server @ quote based
IBM SPSS Predictive Analytics Enterprise @ quote based
US Open, California Franchise Tax Board, First Tennessee Bank
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
email
phone
live support
training
tickets
General Info
A flexible and scalable predictive analytics suite designed to address all aspects of the entire analytical process; data collection, planning, deployment, analysis, and reporting.
All the data, details and reviews that we shared in this table were collected from official company pages, advertising content available online, real-life experience from real users as well as our individual hands-on use of each software by an expert. We put a lot of effort to thoroughly analyze each software, therefore we not only examine it internally, but we also match our findings with opinions of other users from the SaaS community.
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