What is better VROC or Wolfram Mathematica? Getting the most effective Predictive Analysis Software for your organization is crucial to increasing your company’s efficiency. In our platform, you can easily assess numerous solutions to see which one is the proper software for your needs. Here you can match VROC vs. Wolfram Mathematica and look at their overall scores (8.0 vs. 9.5, respectively) and user satisfaction rating (98% vs. 99%, respectively).
You can also browse the specifics of costs, terms and conditions, plans, functions, tools, and more, and find out which software offers more advantages for your business. In practice, go for the business software that allows you to scale the features and price terms to match your sales growth or lack of it.
We did our best to prepare reviews of all popular Predictive Analysis Software solutions available out there, but among them these three deserved our special attention: Wolfram Mathematica, Microsoft Azure Machine Learning Studio, Sisense.
VROC has no set alliance with any equipment providers, allowing users to adopt the best possible approach that fits their asset’s ecosystem.
VROC easily integrates accepting real time data from the following,
Historians, SCADA, DCS & live sensors
Historic data – structured or unstructured
3rd party technical information such as weather
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
PETRONAS
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 predictive analysis platform helping businesses predict failures before they happen, reduce unplanned shutdowns, optimize processes, and increase their bottom line.
Wolfram Mathematica provides a detailed enterprise pricing structure with different pricing groups for home & hobby, students, education, government, and industry. Visit the vendor pricing page to select a plan that meets your specific needs:
Standard Cloud @ $170/month or $1350/year
Full access to Wolfram Knowledgebase and Language
CDF in the Cloud and static deployment interface
15GB cloud storage
300/month Wolfram| API calls
10000/month cloud credits
10 minutes computational limits
2GB session memory limit
1GB file size limit
Free cloud app
Email+ phone support
Standard Desktop @ $2700 or $1350/year (Alternative licensing)
Full access to Wolfram Knowledgebase and Language
Free CDF deployment
8 computational kernels
6000/month Wolfram API calls
Basic access to Wolfram cloud
Email and phone support
complimentary upgrades
Free personal use license
WebMathematica Amateur
Lightweight Grid Manager
Enterprise CDF deployment
2000/month additional Wolfram API calls
Standard Desktop/Cloud @ $2970 or $1485/year (alternative licensing)
Everything in the Standard Cloud and Desktop plans
Wolfram Mathematica integrates with the following applications:
LinkageDesigner
Global Optimization
Lenslab
AceFEM System
Analog Insydes
BEST DB Editor
AceGen
MathOptimizer
Objectica
VisualDSolve
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Enova, St. Marche Supermarkets, The Procter & Gamble Company
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 modern computational software that handles all facets of technical computing including machine learning, visualizations, data science, geometry, image processing, and neural networks.
All the data, facts and statistics that we presented in this analysis were collected from official vendor pages, marketing resources available online, real-life experience from real clients as well as our individual everyday use of every solution by an expert. We do our best to comprehensively study every app, so we not only study it ourselves, but we also compare our observations with views of other users from the B2B community.
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