Average Ratings 0 Ratings
Average Ratings 1 Rating
Description
Microsoft is actively advancing its R-related offerings, evident not only in the latest release of Machine Learning Server but also in the newest versions of Microsoft R Client and Microsoft R Open. Furthermore, R and Python integration is available within SQL Server Machine Learning Services for both Windows and Linux platforms, alongside R support in Azure SQL Database. The R components maintain backward compatibility, allowing users to execute existing R scripts on newer versions, as long as they do not rely on outdated packages or platforms that are no longer supported, or on known problems that necessitate workarounds or code modifications. Microsoft R Open serves as the enhanced version of R provided by Microsoft Corporation, with the most recent release, Microsoft R Open 4.0.2, built on the statistical language R-4.0.2, offering additional features for better performance, reproducibility, and platform compatibility. This version ensures compatibility with all packages, scripts, and applications built on R-4.0.2, making it a reliable choice for developers and data scientists alike. Overall, Microsoft's dedication to R fosters an environment of continuous improvement and support for its users.
Description
Mathematica represents the ultimate solution for contemporary technical computing. Over the past thirty years, it has set the benchmark for excellence in this field, serving as the primary computational framework for countless innovators, educators, students, and various professionals globally. Renowned for its impressive technical capabilities and user-friendly interface, Mathematica offers a unified, ever-evolving system that encompasses the full spectrum of technical computing. This powerful tool is conveniently accessible via any web browser in the cloud and is also available on all current desktop platforms. With a vibrant development process and a clear vision maintained for three decades, Mathematica distinguishes itself across numerous aspects, showcasing its unmatched support for the evolving needs of today’s technical computing environments and workflows, while continuing to adapt and grow with the demands of its users.
API Access
Has API
No
API Access
Has API
No
Integrations
Azure HDInsight
Yes
Cleo LMS
No
DataClarity Unlimited Analytics
Yes
Delinea Cloud Access Controller
Yes
Juniper Identity Management Service
Yes
KeyTalk
Yes
Microsoft Power Platform
Yes
ODK
Yes
ScanMail
Yes
{CodeStore}
No
Integrations
Azure HDInsight
No
Cleo LMS
Yes
DataClarity Unlimited Analytics
No
Delinea Cloud Access Controller
No
Juniper Identity Management Service
No
KeyTalk
No
Microsoft Power Platform
No
ODK
No
ScanMail
No
{CodeStore}
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$1,520 per year
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
mran.microsoft.com/rro
Vendor Details
Company Name
Wolfram
Founded
1987
Country
United States
Website
www.wolfram.com/mathematica/
Product Features
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
Product Features
Computer-Aided Engineering (CAE)
CAD/CAM Compatibility
No
Finite Element Analysis
No
Fluid Dynamics
No
Import / Export Files
No
Integrated 3D Modeling
No
Manufacturing Process Simulation
No
Mechanical Event Simulation
No
Multibody Dynamics
No
Thermal Analysis
No
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
Yes
Embedded Analytics
Ad hoc Query
No
Application Development
No
Benchmarking
No
Dashboard
No
Interactive Reports
No
Mobile Reporting
No
Multi-User Collaboration
No
Self Service Analytics
No
Streaming Analytics
No
Visual Workflow Management
No