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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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backward compatibility, allowing users to execute existing R scripts on newer versions, as long as they do not rely on outdated packages or platforms that are no longer supported, or on known problems that necessitate workarounds or code modifications.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

YNQ is a compact SMB server and client stack created by Visuality Systems, implemented in ANSI C, and tailored to operate on embedded systems, IoT devices, or platforms that do not run Windows, while ensuring seamless interaction with Windows computers. It facilitates remote file management functions such as writing, editing, copying, deleting, and updating files over a network without the necessity of transferring full files locally, all while being resource-efficient to suit limited environments. Fully supporting all SMB dialects from NTLM 0.12 to SMB 3.1.1, YNQ also guarantees backward compatibility, enhancing its utility across various SMB frameworks. The stack includes robust security protocols such as Kerberos for domain joining and delegation, NTLM/NTLMv2, message signing, SMB encryption, and pre-authentication integrity, ensuring secure data transactions. YNQ's modular design consists of four main product components: the Standalone Client, Corporate Client (which features Active Directory registration), Standalone Server, and Corporate Server, allowing for flexible deployment options in diverse settings. This versatility makes YNQ an ideal choice for organizations looking to integrate SMB functionality into their non-Windows environments.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Active Directory
Apple iOS
Azure HDInsight
C
DataClarity Unlimited Analytics
Delinea Cloud Access Controller
Java
Juniper Identity Management Service
KeyTalk
Microsoft 365
Microsoft Power Platform
Nucleus
ODK
ScanMail
VxWorks

Integrations

Active Directory
Apple iOS
Azure HDInsight
C
DataClarity Unlimited Analytics
Delinea Cloud Access Controller
Java
Juniper Identity Management Service
KeyTalk
Microsoft 365
Microsoft Power Platform
Nucleus
ODK
ScanMail
VxWorks

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

mran.microsoft.com/rro

Vendor Details

Company Name

Visuality Systems

Founded

1998

Country

Israel

Website

visualitynq.com/products/ynq/

Product Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

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