Compare the Top High Availability Cluster Solutions that integrate with SQL as of July 2025

This a list of High Availability Cluster solutions that integrate with SQL. Use the filters on the left to add additional filters for products that have integrations with SQL. View the products that work with SQL in the table below.

What are High Availability Cluster Solutions for SQL?

High availability cluster solutions are systems designed to ensure continuous operation of applications and services by minimizing downtime through redundancy and failover mechanisms. These solutions link multiple servers or nodes to work together, so if one node fails, others automatically take over without service interruption. They provide monitoring, load balancing, and automatic recovery features to maintain system reliability and performance. High availability clusters are critical for mission-critical applications requiring near-zero downtime, such as databases, web services, and financial systems. By reducing single points of failure, they help organizations meet stringent uptime and disaster recovery requirements. Compare and read user reviews of the best High Availability Cluster solutions for SQL currently available using the table below. This list is updated regularly.

  • 1
    Oracle Real Application Clusters (RAC)
    Oracle Real Application Clusters (RAC) is a unique, scale-everything, highly available database architecture that transparently scales both reads and writes for all workloads, including OLTP, analytics, AI vectors, SaaS, JSON, batch, text, graph, IoT, and in-memory. It effortlessly scales complex applications such as SAP, Oracle Fusion Applications, and Salesforce workloads. Oracle RAC delivers the lowest latency and highest throughput for all data needs through its unique fused cache across servers, ensuring ultrafast local data access. Parallelized workloads across all CPUs guarantee maximum throughput, and the integration of Oracle’s storage design enables seamless online storage expansion. Unlike other databases that depend on public cloud infrastructures, sharding, or read replicas for scalability, Oracle RAC guarantees the lowest latency and highest throughput out of the box.
  • 2
    Windows Server Failover Clustering
    Failover Clustering in Windows Server (and Azure Local) enables a group of independent servers to work together to improve availability and scalability for clustered roles (formerly known as clustered applications and services). These nodes are interconnected via hardware and software, and if one node fails, another assumes its roles through an automated failover process. Clustered roles are actively monitored and, if they stop functioning, are restarted or migrated to maintain service continuity. The feature also supports Cluster Shared Volumes (CSVs), which provide a unified, distributed namespace and consistent shared storage access across nodes, reducing service disruptions. Typical uses include high‑availability file shares, SQL Server instances, and Hyper‑V virtual machines. Failover Clustering is supported on Windows Server 2016, 2019, 2022, and 2025, and in Azure Local environments.
  • Previous
  • You're on page 1
  • Next