What is better Wolfram Mathematica or Leadspace? You have so many Predictive Analysis Software alternatives in today’s state of that industry that choosing the right product may be confusing. On our comparison page, you can actually examine the features, stipulations, available plans, and more details of Wolfram Mathematica and Leadspace.
You can also check their score (9.5 for Wolfram Mathematica vs. 8.1 for Leadspace) and user satisfaction level (99% for Wolfram Mathematica vs. N/A% for Leadspace). The scores and ratings provide you with a solid idea how these two software products perform. Additionally, check if the application can integrate with existing business apps to ensure greater productivity.
Right now, the leading solutions in our Predictive Analysis Software category are: Sisense, Wolfram Mathematica, Microsoft Azure Machine Learning Studio.
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.
Leadspace integrates with the following third-party tools, applications, and technology solution providers:
Salesforce
Marketo
HubSpot
Eloqua
Engagio
LeonData
Oracle
Oracle Data Cloud
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Marketo, N3, Microsoft
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 AI-powered audience data management software solution that can optimize marketing and sales funnels by capturing best and qualified prospects, customers, and audiences, segmenting audiences into targeted and prioritized accounts based on buyer persona, predictive score, and user-defined characteristics, and generating clean, accurate, and up-to-date B2B data and intelligence which can be used for personalizing cross-channel marketing campaigns and increasing conversion rates.
You should pay attention to the fact that even though both Wolfram Mathematica and Leadspace may have an outstanding array of features every product may be created for a different business size. If you are comparing features you may want to give some attention to a company type they are catering to. Certain features could scale up effectively for large enterprises but if you run a small or medium company it’s frequently better to avoid paying for advanced features that you may never use.
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