What is better KnowledgeENTERPRISE or isolved? The best Predictive Analysis Software is a service that can deal with your company’s unique needs. You can identify which option works really with your industry if you compare a wider range of products before you decide which one is the best.
For instance, KnowledgeENTERPRISE and isolved are scored at 8.0 and 6.9, respectively, for overall quality and performance. Likewise, KnowledgeENTERPRISE and isolved have a user satisfaction rating of N/A% and N/A%, respectively, which indicates the general response they get from customers. Better yet, reach put to a current client of the software and ask for their opinion regarding the software in question.
Currently, the leading products in our Predictive Analysis Software category are: Wolfram Mathematica, Microsoft Azure Machine Learning Studio, Sisense.
Contact Datawatch Angoss for more basic and enterprise pricing information KnowledgeENTERPRISE. You may also sign up for a demo to see if the software is a perfect fit for your business.
KnowledgeENTERPRISE integrates with the following business systems and applications:
Spark
Hive
Parquet
ORC
Avro
Jupyter Notebook
Hadoop
Amazon S3
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
KnowledgeENTERPRISE is Angoss’ advanced analytics software on Spark framework that provides businesses with unprecedented analytics and data processing capabilities that overcome challenges in Big Data access and insight discovery.
Both KnowledgeENTERPRISE and isolved were evaluated by a panel of independent SaaS experts who prepared a thorough examination of all key elements of each service. Their ultimate score was calculated with unique SmartScore system which gives a separate partial score to each factor such as: main functionalities, customer support, mobile device support, security, user satisfaction as well as media presence. We know useful features are not the only factor essential to a company so we make sure we pay attention to all aspects of a service before giving it a final rating.
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