Best Cluster Management Software

Compare the Top Cluster Management Software as of November 2025

What is Cluster Management Software?

Cluster management software is specialized software designed to manage and orchestrate groups of interconnected computers, known as clusters, that work together to perform complex tasks. It provides a centralized interface for deploying, monitoring, scaling, and maintaining applications and workloads across multiple nodes. The software ensures resource allocation, load balancing, and fault tolerance to maximize efficiency and reliability. It is commonly used in high-performance computing, data centers, and cloud environments to streamline operations and optimize infrastructure usage. By automating tasks and providing real-time insights, cluster management software enhances operational efficiency and simplifies the complexities of managing distributed systems. Compare and read user reviews of the best Cluster Management software currently available using the table below. This list is updated regularly.

  • 1
    Appvia Wayfinder
    Appvia Wayfinder is a trusted infrastructure operations platform designed to increase developer velocity. It enables platform teams to operate at scale by providing self-service guardrails for standardisation. Supporting integration with AWS, Azure, and more, Wayfinder offers self-service provisioning of environments and cloud resources using a catalogue of manageable Terraform modules. Its built-in principles of isolation and least privilege ensure secure default configurations, while granting fine-grained control to platform teams over underlying CRDs. It offers centralized control and visibility over clusters, apps, and cloud resources across various clouds. Additionally, Wayfinder's cloud automation capability supports safe deployments and upgrades through the use of ephemeral clusters and namespaces. Choose Appvia Wayfinder for streamlined, secure, and efficient infrastructure management.
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    Starting Price: $0.035 US per vcpu per hour
  • 2
    Slurm
    Slurm Workload Manager, formerly known as Simple Linux Utility for Resource Management (SLURM), is a free, open-source job scheduler and cluster management system for Linux and Unix-like kernels. It's designed to manage compute jobs on high performance computing (HPC) clusters and high throughput computing (HTC) environments, and is used by many of the world's supercomputers and computer clusters.
    Starting Price: Free
  • 3
    Windows Admin Center
    Windows Admin Center is a locally deployed, browser-based management toolset that enables IT administrators to manage Windows Servers, clusters, hyper-converged infrastructure, and Windows 10 or later PCs without the need for cloud connectivity. It serves as the modern evolution of traditional in-box management tools like Server Manager and Microsoft Management Console (MMC), offering a streamlined and integrated experience. Provides a unified interface to manage multiple server environments, including physical, virtual, on-premises, and cloud-based servers, facilitating tasks such as configuration, troubleshooting, and maintenance. Seamlessly extends on-premises deployments to Azure, enabling hybrid management scenarios. This integration allows for the utilization of Azure services like backup, disaster recovery, monitoring, and update management directly through the Windows Admin Center interface.
    Starting Price: $1,176 one-time payment
  • 4
    Azure Kubernetes Fleet Manager
    Easily handle multicluster scenarios for Azure Kubernetes Service (AKS) clusters such as workload propagation, north-south load balancing (for traffic flowing into member clusters), and upgrade orchestration across multiple clusters. Fleet cluster enables centralized management of all your clusters at scale. The managed hub cluster takes care of the upgrades and Kubernetes cluster configuration for you. Kubernetes configuration propagation lets you use policies and overrides to disseminate objects across fleet member clusters. North-south load balancer orchestrates traffic flow across workloads deployed in multiple member clusters of the fleet. Group any combination of your Azure Kubernetes Service (AKS) clusters to simplify multi-cluster workflows like Kubernetes configuration propagation and multi-cluster networking. Fleet requires a hub Kubernetes cluster to store configurations for placement policy and multicluster networking.
    Starting Price: $0.10 per cluster per hour
  • 5
    TrinityX

    TrinityX

    Cluster Vision

    TrinityX is an open source cluster management system developed by ClusterVision, designed to provide 24/7 oversight for High-Performance Computing (HPC) and Artificial Intelligence (AI) environments. It offers a dependable, SLA-compliant support system, allowing users to focus entirely on their research while managing complex technologies such as Linux, SLURM, CUDA, InfiniBand, Lustre, and Open OnDemand. TrinityX streamlines cluster deployment through an intuitive interface, guiding users step-by-step to configure clusters for diverse uses like container orchestration, traditional HPC, and InfiniBand/RDMA architectures. Leveraging the BitTorrent protocol, enables rapid deployment of AI/HPC nodes, accommodating setups in minutes. The platform provides a comprehensive dashboard offering real-time insights into cluster metrics, resource utilization, and workload distribution, facilitating the identification of bottlenecks and optimization of resource allocation.
    Starting Price: Free
  • 6
    OpenSVC

    OpenSVC

    OpenSVC

    OpenSVC is an open source software solution designed to enhance IT productivity by providing tools for service mobility, clustering, container orchestration, configuration management, and comprehensive infrastructure auditing. The platform comprises two main components. The agent functions as a supervisor, clusterware, container orchestrator, and configuration manager, facilitating the deployment, management, and scaling of services across diverse environments, including on-premises, virtual machines, and cloud instances. It supports various operating systems such as Unix, Linux, BSD, macOS, and Windows, and offers features like cluster DNS, backend networks, ingress gateways, and scalers. The collector aggregates data reported by agents and fetches information from the site's infrastructure, including networks, SANs, storage arrays, backup servers, and asset managers. It serves as a reliable, flexible, and secure data store.
    Starting Price: Free
  • 7
    SafeKit

    SafeKit

    Eviden

    Evidian SafeKit is a high-availability software solution designed to ensure the redundancy of critical applications on Windows and Linux platforms. It provides an all-in-one approach by integrating load balancing, synchronous real-time file replication, automatic application failover, and automated failback after a server failure, all within a single software product. This eliminates the need for additional hardware components such as network load balancers or shared disks, as well as the necessity for enterprise editions of operating systems and databases. SafeKit's software clustering facilitates the creation of mirror clusters with real-time data replication and failover, farm clusters with load balancing and failover, and advanced architectures like farm+mirror clusters and active-active clusters. Its shared-nothing architecture simplifies deployment, even in remote sites, by avoiding the complexities associated with shared disk clusters.
  • 8
    Data Flow Manager
    Data Flow Manager (DFM) is a purpose-built tool to deploy and promote Apache NiFi data flows within minutes – no need for NiFi UI and controller services, 100% on-premises with zero cloud dependency. Designed for organizations prioritizing data sovereignty, DFM eliminates vendor lock-in and cloud exposure. With a simple pay-per-node model, you can run unlimited NiFi data flows without paying for extra CPUs. DFM automates and accelerates deployment across environments with features like NiFi data flow deployment, scheduling, and promotion in just a few minutes. Role-Based Access Control (RBAC), complete audit logging, and built-in performance analytics give teams control and visibility over their data operations. DFM’s AI-powered NiFi Data Flow Creation Assistant helps teams build better NiFi data flows, faster. Its structure and performance analysis tools ensure your NiFi flows are optimized from the start. Backed by 24x7 NiFi expert support and a 99.99% uptime guarantee,
  • 9
    Tungsten Clustering
    Tungsten Clustering is the only complete, fully-integrated, fully-tested MySQL HA, DR and geo-clustering solution running on-premises and in the cloud combined with industry-best and fastest, 24/7 support for business-critical MySQL, MariaDB, & Percona Server applications. It allows enterprises running business-critical MySQL database applications to cost-effectively achieve continuous global operations with commercial-grade high availability (HA), geographically redundant disaster recovery (DR) and geographically distributed multi-master. Tungsten Clustering includes four core components for data replication, data connectivity, cluster management and cluster monitoring. Together, they handle all of the messaging and control of your Tungsten MySQL clusters in a seamlessly-orchestrated fashion.
  • 10
    Amazon EKS Anywhere
    Amazon EKS Anywhere is a new deployment option for Amazon EKS that enables you to easily create and operate Kubernetes clusters on-premises, including on your own virtual machines (VMs) and bare metal servers. EKS Anywhere provides an installable software package for creating and operating Kubernetes clusters on-premises and automation tooling for cluster lifecycle support. EKS Anywhere brings a consistent AWS management experience to your data center, building on the strengths of Amazon EKS Distro (the same Kubernetes that powers EKS on AWS.) EKS Anywhere saves you the complexity of buying or building your own management tooling to create EKS Distro clusters, configure the operating environment, update software, and handle backup and recovery. EKS Anywhere enables you to automate cluster management, reduce support costs, and eliminate the redundant effort of using multiple open source or 3rd party tools for operating Kubernetes clusters. EKS Anywhere is fully supported by AWS.
  • 11
    F5 Distributed Cloud App Stack
    Deploy and orchestrate applications on a managed Kubernetes platform with centralized, SaaS-based management of distributed applications with a single pane of glass and rich observability. Simplify by managing deployments as one across on-prem, cloud, and edge locations. Achieve effortless management and scaling of applications across multiple k8s clusters (customer sites or F5 Distributed Cloud Regional Edge) with a single Kubernetes compatible API, unlocking the ease of multi-cluster management. Deploy, deliver, and secure applications to all locations as one ”virtual” location. Deploy, secure, and operate distributed applications with uniform production grade Kubernetes no matter the location, from private and public cloud to edge locations. Secure K8s Gateway with zero trust security all the way to the cluster with ingress services with WAAP, service policies management, network, and application firewall.
  • 12
    AWS ParallelCluster
    AWS ParallelCluster is an open-source cluster management tool that simplifies the deployment and management of High-Performance Computing (HPC) clusters on AWS. It automates the setup of required resources, including compute nodes, a shared filesystem, and a job scheduler, supporting multiple instance types and job submission queues. Users can interact with ParallelCluster through a graphical user interface, command-line interface, or API, enabling flexible cluster configuration and management. The tool integrates with job schedulers like AWS Batch and Slurm, facilitating seamless migration of existing HPC workloads to the cloud with minimal modifications. AWS ParallelCluster is available at no additional charge; users only pay for the AWS resources consumed by their applications. With AWS ParallelCluster, you can use a simple text file to model, provision, and dynamically scale the resources needed for your applications in an automated and secure manner.
  • 13
    NVIDIA Base Command Manager
    NVIDIA Base Command Manager offers fast deployment and end-to-end management for heterogeneous AI and high-performance computing clusters at the edge, in the data center, and in multi- and hybrid-cloud environments. It automates the provisioning and administration of clusters ranging in size from a couple of nodes to hundreds of thousands, supports NVIDIA GPU-accelerated and other systems, and enables orchestration with Kubernetes. The platform integrates with Kubernetes for workload orchestration and offers tools for infrastructure monitoring, workload management, and resource allocation. Base Command Manager is optimized for accelerated computing environments, making it suitable for diverse HPC and AI workloads. It is available with NVIDIA DGX systems and as part of the NVIDIA AI Enterprise software suite. High-performance Linux clusters can be quickly built and managed with NVIDIA Base Command Manager, supporting HPC, machine learning, and analytics applications.
  • 14
    IBM Spectrum LSF Suites
    IBM Spectrum LSF Suites is a workload management platform and job scheduler for distributed high-performance computing (HPC). Terraform-based automation to provision and configure resources for an IBM Spectrum LSF-based cluster on IBM Cloud is available. Increase user productivity and hardware use while reducing system management costs with our integrated solution for mission-critical HPC environments. The heterogeneous, highly scalable, and available architecture provides support for traditional high-performance computing and high-throughput workloads. It also works for big data, cognitive, GPU machine learning, and containerized workloads. With dynamic HPC cloud support, IBM Spectrum LSF Suites enables organizations to intelligently use cloud resources based on workload demand, with support for all major cloud providers. Take advantage of advanced workload management, with policy-driven scheduling, including GPU scheduling and dynamic hybrid cloud, to add capacity on demand.
  • 15
    Red Hat Advanced Cluster Management
    Red Hat Advanced Cluster Management for Kubernetes controls clusters and applications from a single console, with built-in security policies. Extend the value of Red Hat OpenShift by deploying apps, managing multiple clusters, and enforcing policies across multiple clusters at scale. Red Hat’s solution ensures compliance, monitors usage and maintains consistency. Red Hat Advanced Cluster Management for Kubernetes is included with Red Hat OpenShift Platform Plus, a complete set of powerful, optimized tools to secure, protect, and manage your apps. Run your operations from anywhere that Red Hat OpenShift runs, and manage any Kubernetes cluster in your fleet. Speed up application development pipelines with self-service provisioning. Deploy legacy and cloud-native applications quickly across distributed clusters. Free up IT departments with self-service cluster deployment that automatically delivers applications.
  • 16
    IBM Tivoli System Automation
    IBM Tivoli System Automation for Multiplatforms (SA MP) is cluster-managing software that facilitates the automatic switching of users, applications, and data from one database system to another in a cluster. Tivoli SA MP automates control of IT resources such as processes, file systems, and IP addresses. Tivoli SA MP provides a framework to automatically manage the availability of what are known as resources. Any piece of software for which start, monitor, and stop scripts can be written to control. Any network interface card to which Tivoli SA MP was granted access. That is, Tivoli SA MP manages the availability of any IP address that a user wants to use by floating that IP address among NICs that it has access to. This is known as a floating or virtual IP address. In a single-partition Db2 environment, a single Db2 instance is running on a server. This Db2 instance has local access to data (its own executable image as well as databases owned by the instance).
  • 17
    ClusterVisor

    ClusterVisor

    Advanced Clustering

    ClusterVisor is an HPC cluster management system that provides comprehensive tools for deploying, provisioning, managing, monitoring, and maintaining high-performance computing clusters throughout their lifecycle. It offers flexible installation options, including deployment via an appliance, which decouples cluster management from the head node, enhancing system resilience. The platform includes LogVisor AI, an integrated log file analysis tool that utilizes AI to classify logs by severity, enabling the creation of actionable alerts. ClusterVisor facilitates node configuration and management with a suite of tools, supports user and group account management, and features customizable dashboards for visualizing cluster-wide information and comparing multiple nodes or devices. It provides disaster recovery capabilities by storing system images for node reinstallation, offers an intuitive web-based rack diagramming tool, and enables comprehensive statistics and monitoring.
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