What is better IBM Predictive Analytics or BigSquid Kraken? It’s easy to our scoring system to help you get a general idea which Predictive Analysis Software product is better for your business. For overall product quality, IBM Predictive Analytics received 9.4 points, while BigSquid Kraken earned 8.0 points. Meanwhile, for user satisfaction, IBM Predictive Analytics scored 95%, while BigSquid Kraken scored N/A%.
Information regarding their features, tools, supported platforms, customer support, etc. are given below to give you a more versatile review. Keep in mind to choose only the tools your business requires to avoid wasting cash for tools which are redundant.
In case you you would like to quickly find the more reliable Predictive Analysis Software according to our review team we suggest you examine the following solutions: Sisense, Wolfram Mathematica, Microsoft Azure Machine Learning Studio.
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.
Details on SMB and enterprise pricing for BigSquid Kraken are not publicly available. Interested buyers may contact a sales representative to request for a customized quotation.
If you are still having second thoughts about which solution will be best in your case it might be a sound idea to take a look at each service’s social metrics. Such metrics are quite often a sign of how popular a given service is and how big is its online presence. For example, in case of Facebook IBM Predictive Analytics has 22985 likes on their official profile while BigSquid Kraken profile is liked by 2870 users.
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