What is better Apache PredictionIO or PitchBob.io? There are lots of AI Software products out there these days. The ideal way to find out which one fits your needs best is to check them side by side. For instance, here you can assess Apache PredictionIO and PitchBob.io for their overall score (9.2 vs. 8.5, respectively) or their user satisfaction rating (100% vs. 95%, respectively).
You can also examine their functions and pricing stipulations along with other valuable details below. When matching products make sure to compare their corresponding features and mark their differences to get a clearer picture of both deals. Similarly, bear in mind to check other factors including security, backup, usability, and helpdesk support.
In the event you have to quickly locate the more reliable AI Software according to our review team we advise you check out the following solutions: Salesforce Einstein, Azure Machine Learning Studio, Google Vertex AI.
Apache PredictionIO can integrate with custom applications.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
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
An open source machine learning server designed by The Apache Software Foundation. Apache PredictionIO provides users access to Spark MLLib, OpenNLP, and machine learning libraries. It is also a flexible machine learning platform that supports both web and mobile integrations and deployment with Apache Spark, MLlib, HBase, Spray, and Elasticsearch.
Company Email
apache@apache.org
Contact No.
Company's Address
Apache PredictionIO
401 Edgewater Place, Suite 600
Wakefield, MA 01880
USA
If you are still having second thoughts about which solution will perform best in your case it may be a good idea to examine each service’s social metrics. These metrics are frequently a sign of how popular a given service is and how big is its online presence. For example, in case of Facebook Apache PredictionIO has 2195 likes on their official profile while PitchBob.io profile is liked by 55 people.
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