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features 0 out of 5 stars
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Ratings and Reviews 11 Ratings

Total 4.5 out of 5 stars
ease 4.5 out of 5 stars
features 4.5 out of 5 stars
design 4.5 out of 5 stars
support 4.5 out of 5 stars

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What is Windows Server Failover Clustering?

Windows Server's Failover Clustering feature, also applicable in Azure Local environments, enables a network of independent servers to work together, significantly improving the availability and scalability of clustered roles, which were formerly known as clustered applications and services. This system of interconnected nodes employs a blend of hardware and software solutions to guarantee that when one node fails, another node can automatically assume its duties through a failover process. The constant oversight of clustered roles ensures that any malfunction can lead to a swift restart or migration, maintaining continuous service. Furthermore, the system supports Cluster Shared Volumes (CSVs), which provide a unified, distributed namespace that facilitates reliable shared storage access across all participating nodes, thus reducing the risk of service disruptions. Failover Clustering is commonly used for high-availability file shares, SQL Server instances, and Hyper-V virtual machines, demonstrating its effectiveness across different applications. This capability is found in Windows Server versions 2016, 2019, 2022, and the anticipated 2025, along with support in Azure Local environments, making it a robust option for organizations aiming to bolster their system resilience. By implementing Failover Clustering, businesses can ensure that their essential applications remain operational, even amidst hardware malfunctions, thereby safeguarding their critical operations. As a result, organizations can achieve higher uptime and reliability, ultimately enhancing their overall productivity and service delivery.

What is Percona XtraDB Cluster?

Percona XtraDB Cluster (PXC) is a high-availability, open-source clustering solution for MySQL that enables businesses to minimize unexpected downtime and data loss while enhancing performance and scalability. Enterprises benefit from its ability to support vital applications in both public and private cloud settings, thereby ensuring operational continuity. By delivering maximum availability for critical applications, PXC helps safeguard data and revenue streams effectively. Furthermore, it provides a cost-efficient alternative by eliminating license fees and adhering to budget limitations. With integrated tools designed for optimization, maintenance, and monitoring, users can fully leverage their MySQL environments and achieve optimal performance. This comprehensive approach not only streamlines database management but also empowers organizations to focus on growth and innovation.

Media

Media

Integrations Supported

Active Directory
Microsoft 365
Microsoft Azure
Microsoft Hyper-V
PowerShell
SIOS DataKeeper
SQL
Windows Server

Integrations Supported

MySQL
Pandora FMS
Percona Kubernetes Operator
Percona XtraBackup
ProxySQL

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Free
Free and open-source
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

learn.microsoft.com/en-us/windows-server/failover-clustering/failover-clustering-overview

Company Facts

Organization Name

Percona

Date Founded

2006

Company Location

USA

Company Website

www.percona.com/software/mysql-database/percona-xtradb-cluster

Categories and Features

Categories and Features

Database

Backup and Recovery
Data Replication
Data Search
Data Security
Monitoring
Performance Analysis
Queries
Relational Interface

RDBMS

Backup
Monitoring
Performance Analysis
Queries
Storage Optimization

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