What is better Salford Systems SPM or Microsoft R Open? When choosing the proper Predictive Analysis Software for your organization our recommendation is that you compare the characteristics, rates, as well as other critical details concerning the product and vendor. Here, you are able to see the parallels and differences between Salford Systems SPM (overall score at 8.2 and user satisfaction at 100%) and Microsoft R Open (overall score at 9.5 and user satisfaction at 80%).
You may also examine their specific modules, like features, plans, pricing, conditions, etc. Similarly, read the terms closely for information on hidden fees, like, setup fees, separate support plan, upgrade fees, storage fees, and others.
Our experts made sure to prepare reviews of all popular Predictive Analysis Software services that you can find out there, but among them these three deserved our special attention: Wolfram Mathematica, Microsoft Azure Machine Learning Studio, Sisense.
Salford Systems SPM supports partnership with the following providers:
Hulinks Inc.
Hearne Scientific Software Pty Ltd
Science Plus Group bv
STATCON
ASRAD Engineering Ltd.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Decision Management Solutions, DMA Direct Marketing Association, Pacific-Asia Knowledge Discovery and Data Mining (PAKDD)
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 highly-accurate, ultra-fast, and award-winning suite of data mining tools and predictive modeling software solutions that gives data scientists, analysts, modelers, and miners the ability to build, develop, and refine predictive, descriptive, and analytical models in automated, dynamic, and creative ways.
All the data, information and experiences that we provided in this comparison were taken from official company websites, promotional resources available online, real-life experience from real users as well as our personal everyday use of every software by an expert. We put a lot of effort to thoroughly study each solution, as a result we not only test it internally, but we also compare our observations with experiences of other members from the SaaS community.
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