Best Cluster Management Software - Page 2
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Compare the Top Cluster Management Software as of August 2025 - Page 2
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Data Flow Manager
Ksolves
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, -
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NVIDIA Run:ai
NVIDIA
NVIDIA Run:ai is an enterprise platform designed to optimize AI workloads and orchestrate GPU resources efficiently. It dynamically allocates and manages GPU compute across hybrid, multi-cloud, and on-premises environments, maximizing utilization and scaling AI training and inference. The platform offers centralized AI infrastructure management, enabling seamless resource pooling and workload distribution. Built with an API-first approach, Run:ai integrates with major AI frameworks and machine learning tools to support flexible deployment anywhere. It also features a powerful policy engine for strategic resource governance, reducing manual intervention. With proven results like 10x GPU availability and 5x utilization, NVIDIA Run:ai accelerates AI development cycles and boosts ROI. -
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Tungsten Clustering
Continuent
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. -
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Rancher
Rancher Labs
From datacenter to cloud to edge, Rancher lets you deliver Kubernetes-as-a-Service. Rancher is a complete software stack for teams adopting containers. It addresses the operational and security challenges of managing multiple Kubernetes clusters, while providing DevOps teams with integrated tools for running containerized workloads. From datacenter to cloud to edge, Rancher's open source software lets you run Kubernetes everywhere. Compare Rancher with other leading Kubernetes management platforms in how they deliver. You don’t need to figure Kubernetes out all on your own. Rancher is open source software, with an enormous community of users. Rancher Labs builds software that helps enterprises deliver Kubernetes-as-a-Service across any infrastructure. When running Kubernetes workloads in mission-critical environments, our community knows that they can turn to us for world-class support. -
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Swarm
Docker
Current versions of Docker include swarm mode for natively managing a cluster of Docker Engines called a swarm. Use the Docker CLI to create a swarm, deploy application services to a swarm, and manage swarm behavior. Cluster management integrated with Docker Engine: Use the Docker Engine CLI to create a swarm of Docker Engines where you can deploy application services. You don’t need additional orchestration software to create or manage a swarm. Decentralized design: Instead of handling differentiation between node roles at deployment time, the Docker Engine handles any specialization at runtime. You can deploy both kinds of nodes, managers and workers, using the Docker Engine. This means you can build an entire swarm from a single disk image. Declarative service model: Docker Engine uses a declarative approach to let you define the desired state of the various services in your application stack. -
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Container Engine for Kubernetes (OKE) is an Oracle-managed container orchestration service that can reduce the time and cost to build modern cloud native applications. Unlike most other vendors, Oracle Cloud Infrastructure provides Container Engine for Kubernetes as a free service that runs on higher-performance, lower-cost compute shapes. DevOps engineers can use unmodified, open source Kubernetes for application workload portability and to simplify operations with automatic updates and patching. Deploy Kubernetes clusters including the underlying virtual cloud networks, internet gateways, and NAT gateways with a single click. Automate Kubernetes operations with web-based REST API and CLI for all actions including Kubernetes cluster creation, scaling, and operations. Oracle Container Engine for Kubernetes does not charge for cluster management. Easily and quickly upgrade container clusters, with zero downtime, to keep them up to date with the latest stable version of Kubernetes.
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Apache Helix
Apache Software Foundation
Apache Helix is a generic cluster management framework used for the automatic management of partitioned, replicated and distributed resources hosted on a cluster of nodes. Helix automates reassignment of resources in the face of node failure and recovery, cluster expansion, and reconfiguration. To understand Helix, you first need to understand cluster management. A distributed system typically runs on multiple nodes for the following reasons: scalability, fault tolerance, load balancing. Each node performs one or more of the primary functions of the cluster, such as storing and serving data, producing and consuming data streams, and so on. Once configured for your system, Helix acts as the global brain for the system. It is designed to make decisions that cannot be made in isolation. While it is possible to integrate these functions into the distributed system, it complicates the code. -
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Azure Local
Microsoft
Operate infrastructure across distributed locations enabled by Azure Arc. Run virtual machines (VMs), containers, and select Azure services with Azure Local, a distributed infrastructure solution. Deploy modern container apps and traditional virtualized apps side-by-side on the same hardware. Identify the right solution to match your scenario from a validated list of hardware partners. Set up and manage your on-premises and cloud infrastructure with a more consistent Azure experience. Safeguard workloads with advanced security-by-default in all validated hardware solutions. -
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Tencent Cloud EKS
Tencent
EKS is community-driven and supports the latest Kubernetes version as well as native Kubernetes cluster management. It is ready-to-use in the form of a plugin to support Tencent Cloud products for storage, networking, load balancing, and more. EKS is built on Tencent Cloud's well-developed virtualization technology and network architecture, providing 99.95% service availability. Tencent Cloud ensures the virtual and network isolation of EKS clusters between users. You can configure network policies for specific products using security groups, network ACL, etc. The serverless framework of EKS ensures higher resource utilization and lower OPS costs. Flexible and efficient auto scaling ensures that EKS only consumes the amount of resources required by the current load. EKS provides solutions that meet different business needs and can be integrated with most Tencent Cloud services, such as CBS, CFS, COS, TencentDB products, VPC and more. -
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Tencent Kubernetes Engine
Tencent
TKE is fully compatible with the entire range of Kubernetes capabilities and has been adapted to Tencent Cloud's fundamental IaaS capabilities such as CVM and CBS. In addition, Tencent Cloud’s Kubernetes-based cloud products such as CBS and CLB support one-click deployment to container clusters for a variety of open source applications, greatly improving deployment efficiency. Thanks to TKE, you can simplify the management of large-scale clusters and management and OPS of distributed applications without having to use cluster management software or design fault-tolerant cluster architecture. Simply launch TKE and specify the tasks you want to run, and then TKE will take care of all of the cluster management tasks, allowing you to focus on developing Dockerized applications. -
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Amazon EKS Anywhere
Amazon
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. -
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Rocky Linux
Ctrl IQ, Inc.
CIQ empowers people to do amazing things by providing innovative and stable software infrastructure solutions for all computing needs. From the base operating system, through containers, orchestration, provisioning, computing, and cloud applications, CIQ works with every part of the technology stack to drive solutions for customers and communities with stable, scalable, secure production environments. CIQ is the founding support and services partner of Rocky Linux, and the creator of the next generation federated computing stack. - Rocky Linux, open, Secure Enterprise Linux - Apptainer, application Containers for High Performance Computing - Warewulf, cluster Management and Operating System Provisioning - HPC2.0, the Next Generation of High Performance Computing, a Cloud Native Federated Computing Platform - Traditional HPC, turnkey computing stack for traditional HPC -
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SUSE Rancher Prime
SUSE
SUSE Rancher Prime addresses the needs of DevOps teams deploying applications with Kubernetes and IT operations delivering enterprise-critical services. SUSE Rancher Prime supports any CNCF-certified Kubernetes distribution. For on-premises workloads, we offer the RKE. We support all the public cloud distributions, including EKS, AKS, and GKE. At the edge, we offer K3s. SUSE Rancher Prime provides simple, consistent cluster operations, including provisioning, version management, visibility and diagnostics, monitoring and alerting, and centralized audit. SUSE Rancher Prime lets you automate processes and applies a consistent set of user access and security policies for all your clusters, no matter where they’re running. SUSE Rancher Prime provides a rich catalogue of services for building, deploying, and scaling containerized applications, including app packaging, CI/CD, logging, monitoring, and service mesh. -
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K3s
K3s
K3s is a highly available, certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Both ARM64 and ARMv7 are supported with binaries and multiarch images available for both. K3s works great from something as small as a Raspberry Pi to an AWS a1.4xlarge 32GiB server. Lightweight storage backend based on sqlite3 as the default storage mechanism. etcd3, MySQL, Postgres also still available. Secure by default with reasonable defaults for lightweight environments. Simple but powerful “batteries-included” features have been added, such as: a local storage provider, a service load balancer, a Helm controller, and the Traefik ingress controller. Operation of all Kubernetes control plane components is encapsulated in a single binary and process. This allows K3s to automate and manage complex cluster operations like distributing certificates. -
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IBM PowerHA SystemMirror provides a comprehensive high availability (HA) solution that ensures near-continuous application uptime with advanced failure detection, failover, and recovery features. It offers a simplified, integrated configuration that addresses storage and HA needs while allowing users to manage their clusters through a single pane of glass. Available for IBM AIX and IBM i operating systems, PowerHA supports multisite disaster recovery configurations and automation to reduce administrative effort. It incorporates IBM SAN storage systems like DS8000 and Flash Systems into HA clusters for robust data protection. Licensed per processor core with maintenance included for the first year, PowerHA delivers economic value for on-premises deployments. The technology helps enterprises eliminate planned and unplanned outages while monitoring system health proactively.
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HPE Performance Cluster Manager
Hewlett Packard Enterprise
HPE Performance Cluster Manager (HPCM) delivers an integrated system management solution for Linux®-based high performance computing (HPC) clusters. HPE Performance Cluster Manager provides complete provisioning, management, and monitoring for clusters scaling up to Exascale sized supercomputers. The software enables fast system setup from bare-metal, comprehensive hardware monitoring and management, image management, software updates, power management, and cluster health management. Additionally, it makes scaling HPC clusters easier and efficient while providing integration with a plethora of 3rd party tools for running and managing workloads. HPE Performance Cluster Manager reduces the time and resources spent administering HPC systems - lowering total cost of ownership, increasing productivity and providing a better return on hardware investments. -
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MapReduce
Baidu AI Cloud
You can perform on-demand deployment and automatic scaling of the cluster, and focus on the big data processing, analysis, and reporting only. Thanks to many years’ of massively distributed computing technology accumulation, Our operations team can undertake the cluster operations. It automatically scales up clusters to improve the computing ability in peak periods and scales down clusters to reduce the cost in the valley period. It provides the management console to facilitate cluster management, template customization, task submission, and alarm monitoring. By deploying together with the BCC, it focuses on its own business in a busy time and helps the BMR to compute the big data in free time, reducing the overall IT expenditure. -
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ManageEngine DDI Central is designed to streamline network management for enterprises, offering a unified platform for DNS, DHCP, and IPAM. DDI Central as an overlay, discovers and integrates data across both on-premises as well as remote DNS-DHCP clusters. Enterprises gain holistic visibility and control of their network infrastructure, including remote branch offices. With smart automation features, real-time analytics, and advanced security protocols, DDI Central enhances operational efficiency, visibility, and network security, all from a single console. Features: Flexible internal and external DNS and DHCP cluster management Streamlined DNS server and zone management Automated DHCP scope management Targeted IP configurations with DHCP fingerprinting Secure dynamic DNS (DDNS) management DNS aging and scavenging DNS security management Domain traffic surveillance IP lease history insights IP-DNS correlations and IP-MAC identity mapping Built-in failover & auditingStarting Price: $799/year
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Spectro Cloud Palette
Spectro Cloud
Spectro Cloud’s Palette is a comprehensive Kubernetes management platform designed to simplify and unify the deployment, operation, and scaling of Kubernetes clusters across diverse environments—from edge to cloud to data center. It provides full-stack, declarative orchestration, enabling users to blueprint cluster configurations with consistency and flexibility. The platform supports multi-cluster, multi-distro Kubernetes environments, delivering lifecycle management, granular access controls, cost visibility, and optimization. Palette integrates seamlessly with cloud providers like AWS, Azure, Google Cloud, and popular Kubernetes services such as EKS, OpenShift, and Rancher. With robust security features including FIPS and FedRAMP compliance, Palette addresses needs of government and regulated industries. It offers flexible deployment options—self-hosted, SaaS, or airgapped—ensuring organizations can choose the best fit for their infrastructure and security requirements. -
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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.
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AWS ParallelCluster
Amazon
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. -
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NVIDIA Base Command Manager
NVIDIA
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. -
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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.
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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.
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OKD
OKD
In short, OKD is a very opinionated deployment of Kubernetes. Kubernetes is a collection of software and design patterns to operate applications at scale. We add some features directly as modifications into Kubernetes, but mostly we augment the platform by "preinstalling" a large amount of pieces of software called Operators into the deployed cluster. These operators then provide all of our cluster components (over 100 of them) that make up the platform, such as OS upgrades, web consoles, monitoring, and image-building. OKD is intended to be run at all scales from cloud to metal to edge. The installer is fully automated on some platforms (such as AWS) or supports configuration into custom environments (such as metal or labs). OKD adopts developing best practices and technology. A great platform for technologists and students to learn, experiment, and contribute across the cloud ecosystem. -
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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).
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Pipeshift
Pipeshift
Pipeshift is a modular orchestration platform designed to facilitate the building, deployment, and scaling of open source AI components, including embeddings, vector databases, large language models, vision models, and audio models, across any cloud environment or on-premises infrastructure. The platform offers end-to-end orchestration, ensuring seamless integration and management of AI workloads, and is 100% cloud-agnostic, providing flexibility in deployment. With enterprise-grade security, Pipeshift addresses the needs of DevOps and MLOps teams aiming to establish production pipelines in-house, moving beyond experimental API providers that may lack privacy considerations. Key features include an enterprise MLOps console for managing various AI workloads such as fine-tuning, distillation, and deployment; multi-cloud orchestration with built-in auto-scalers, load balancers, and schedulers for AI models; and Kubernetes cluster management. -
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Proxmox VE
Proxmox Server Solutions
Proxmox VE is a complete open-source platform for all-inclusive enterprise virtualization that tightly integrates KVM hypervisor and LXC containers, software-defined storage and networking functionality on a single platform, and easily manages high availability clusters and disaster recovery tools with the built-in web management interface. -
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Foundry
Foundry
Foundry is a new breed of public cloud, powered by an orchestration platform that makes accessing AI compute as easy as flipping a light switch. Explore the high-impact features of our GPU cloud services designed for maximum performance and reliability. Whether you’re managing training runs, serving clients, or meeting research deadlines. Industry giants have invested for years in infra teams that build sophisticated cluster management and workload orchestration tools to abstract away the hardware. Foundry makes this accessible to everyone else, ensuring that users can reap compute leverage without a twenty-person team at scale. The current GPU ecosystem is first-come, first-serve, and fixed-price. Availability is a challenge in peak times, and so are the puzzling gaps in rates across vendors. Foundry is powered by a sophisticated mechanism design that delivers better price performance than anyone on the market. -
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Corosync Cluster Engine
Corosync
The Corosync Cluster Engine is a group communication system with additional features for implementing high availability within applications. The project provides four C application programming interface features. Closed process group communication model with extended virtual synchrony guarantees for creating replicated state machines; a simple availability manager that restarts the application process when it has failed; a configuration and statistics in-memory database that provides the ability to set, retrieve, and receive change notifications of information; and a quorum system that notifies applications when a quorum is achieved or lost. Our project is used as a high-availability framework by projects such as Pacemaker and Asterisk. We are always looking for developers or users interested in clustering or participating in our project.
