Microsoft R Server
Microsoft R Server, rebranded as Microsoft Machine Learning Server, retired on July 1, 2022, after a 12-month support extension for existing users. This transition encourages migration to alternatives like Azure SQL Managed Instance and SQL Server 2019. Customers are prompted to adopt the CRAN distribution of R for continued support.
Top Microsoft R Server Alternatives
Mojo Platform
Mojo Platform revolutionizes data center automation by streamlining the configuration and management of physical servers, storage devices, and rack PDUs through a single, user-friendly interface.
AWS Auto Scaling
AWS Auto Scaling effectively monitors applications, adjusting resource capacity to ensure optimal performance while minimizing costs.
MetalSoft
MetalSoft offers advanced server management software designed for efficient bare metal automation, facilitating seamless operations from core data centers to edge deployments.
Biztalk360
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IfMetrics
IFMetrics serves as a powerful server management software, enabling users to efficiently deploy and monitor applications in the cloud.
Chef Server
Chef Server is an advanced server management software designed for enterprise environments.
Cleaver
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Meridian
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Commando
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ServerPilot
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NetStairs
Their platforms, ICDN and PIXEL, facilitate dynamic team collaboration via intelligent media streaming and secure...
WHM
It offers advanced server monitoring tools for resource management, while allowing customers to create custom...
OnthenetOFFICE
It enables users to manage cloud environments, automate tasks, and track assets through an intuitive...
Corner Bowl Server Manager
With features like batch import for compliance audits, real-time monitoring, and automated vulnerability scanning, it...
AppZero
AppZero by VirtaMove streamlines this process, automating the transition to modern operating systems...
Top Microsoft R Server Features
- Server management capabilities
- Comprehensive R language support
- Integration with Azure services
- Predictive analytics tools
- Scalable data processing
- Distributed model training
- SQL Server compatibility
- Support for R-Open distribution
- Native machine learning services
- Operationalization of machine learning
- Big Data Clusters integration
- Advanced statistical analysis
- Enhanced visualization tools
- Deployment of R models
- User-friendly management interface
- Collaboration features for data scientists
- Robust security measures
- Customizable reporting options
- API integration capabilities
- Migration support and resources.
