Home > Backup and Recovery Blog > OpenStack vs VMware: Virtualization Platform Comparison Guide
Updated 28th June 2025, Rob Morrison

What is OpenStack and How Does It Work? Understanding the OpenStack Cloud Platform

OpenStack is an open-source cloud computing platform that can fundamentally change the way organizations deploy and manage data center infrastructures. Instead of relying on integrated proprietary solutions, OpenStack uses a modular architecture in which specialized components (modules or services) handle distinct infrastructure functions.

At its core, OpenStack is a collection of inter-related software projects that orchestrate computing, storage, and networking resources across data centers. The modular design of the platform allows the specific functions of the entire solution to be managed by different modules; examples such as Nova, Neutron, and Keystone will be explained further below.

OpenStack’s service-oriented architecture creates strong customization capabilities, while eliminating vendor lock-in, but it requires substantial operational expertise as well. Successful OpenStack deployments tend to require team members with deep Linux administration expertise, as well as API automation experience and experience troubleshooting distributed systems.

Enterprises can achieve substantial cost savings and performance optimization at scale with OpenStack, but the initial deployment alone can take significant time-frames, such as around a year,  and requires ongoing investments in development of the skills of specialized personnel. As such, this environment is implemented primarily where the flexibility of OpenStack is considered worth the operational complexity, such as telecommunications providers, large technology companies, research institutions, and other deployments that exceed around 500 virtual machines.

Key Features of OpenStack

OpenStack’s architecture centers on several core modules that work together to deliver impressive cloud functionality, each designed to handle specific infrastructure domains with enterprise-grade capabilities.

Compute Services (Nova) orchestrates the entire virtual machine lifecycle, from initial provisioning to ongoing management and eventual decommissioning. Nova’s hypervisor-agnostic design can work with KVM, Xen, VMware vSphere, and even bare-metal provisioning, making it possible to leverage existing hardware investments while also maintaining flexibility for future technology choices. It handles resource scheduling, instance migration, and capacity management across potentially thousands of physical servers.

Identity Management (Keystone) offers centralized authentication and authorization for the entire OpenStack ecosystem. Rather than working with separate credentials across services, Keystone delivers unified user management, project-based resource isolation, and role-based access controls. It is a priceless module in large deployments, in which companies must enforce consistent security policies across multiple services, regions, and thousands of individual users.

Networking (Neutron) extends above and beyond basic connectivity to support complex network topologies – VLAN, VXLAN, and overlay networks. Organizations can use Neutron to implement complex scenarios, including load balancing, multi-tenant isolation, firewall rules, and virtual private networks, all without specialized hardware appliances. Neutron integrates with both traditional networking equipment and software-defined networking solutions, offering impressive flexibility to satisfy diverse infrastructure requirements.

The storage architecture operates using specialized modules for different use cases. Swift offers massively scalable object storage, ideal for structured data, backups, and content distribution; Cinder delivers high-performance block storage with the ability to be dynamically provisioned and attached to compute instances (supporting practically every storage medium imaginable, from cost-effective disk arrays to NVMe SSDs).

OpenStack Backup Options: What You Should Know

Backup strategies using OpenStack require a high level of knowledge to take advantage of the platform’s distributed service architecture, where different modules manage distinct data types and protection requirements. OpenStack backup is a combination of multiple layers, which must be coordinated to achieve comprehensive data protection; this precise approach is what makes OpenStack so unique, compared to the many monolithic virtualization platforms.

Instance-level backups use Nova’s snapshot capability to create point-in-time copies of VMs, capturing both the instance state and the attached storage. At the same time, these snapshots are only the compute layer, with persistent data stored in Cinder volumes requiring their own backup procedures using dedicated volume backup services.

Volume backup services integrate with Cinder to offer consistent, automated protection for persistent storage. Companies can use Cinder to configure backup schedules, retention policies, and cross-region replication, to guarantee data durability in geographically distributed deployments. Cinder also supports incremental backups that can reduce storage overhead and backup windows at the cost of making the restoration process more complex.

When it comes to mission-critical workloads, app-consistent backup strategies coordinate OpenStack services with guest operating systems. This approach may require database-specific backup tools in certain instances, while generating coordinated volume snapshots at the same time (and maintaining the consistency of recovery points across different app architectures).

The number of third-party backup solutions offering native OpenStack integration using its comprehensive API continues to grow. Solutions like Bacula Enterprise and many others enable organizations to extend existing backup infrastructure to cloud-native workloads, while maintaining centralized management and reporting capabilities.

What is VMware and How Does It Compare?

VMware has established itself as the de-facto enterprise standard for virtualization over the last two decades. VMware is almost the antithesis of OpenStack’s open-source modularity, offering integrated, proprietary solutions with a strong focus on compatibility and enterprise-grade reliability.

VMware vSphere can transform physical servers into pools of logical resources, abstracting hardware into virtual components that can be allocated dynamically across workloads, when necessary. The centralized management model of the platform uses vCenter Server to orchestrate the management of multiple ESXi hosts, while enabling a wide range of advanced features, such as automatic load balancing, high-availability clustering, live migration (vMotion), and more.

What sets VMare apart from its competitors is its combination of enterprise integration and compatibility. Organizations can virtualize existing workloads with little-to-no modification, making it a perfect option for most legacy applications. Mature ecosystem and vendor accountability are both massive advantages of VMware, with a single vendor responsible for the entire stack, providing clear escalation paths and reducing finger-pointing during critical issues.

ESXi and its Features

ESXi is a bare-metal hypervisor of VMware that is installed directly on physical servers, offering better performance and tighter security than in most hosted solutions. Direct access to the hardware for the hypervisor eliminates the overhead of the host operating system, enabling hardware virtualization extensions capable of substantially improving VM performance.

Security hardening comes through ESXi’s minimal footprint: because only essential virtualization components are included in the hypervisor, the potential attack’s surface is substantially reduced. Automated patching mechanisms can deploy updates across massive infrastructures with minimal downtime, a critical advantage for environments with strict change management requirements.

An advanced resource management element monitors VM consumption in real-time, adjusting CPU scheduling, memory allocation, and I/O prioritization automatically, based on workload demands and other factors. These intelligent algorithms prevent resource contention while maximizing overall system utilization.

Storage integration allows organizations to leverage existing investments (via Fibre Channel, iSCSI, NFS, VMware’s vSAN) while also offering clear upgrade paths when relevant. The tight integration with enterprise storage arrays enables usage of more advanced features, such as automated storage tiering and array-based snapshots.

How ESXi Manages Virtual Machines

Virtual machine management in ESXi operates by using multiple abstraction layers and control mechanisms to ensure reliable and fast visualization across diverse workloads. The hypervisor does more than just partition hardware resources; it also actively manages and optimizes VM execution using sophisticated algorithms capable of adapting to workload patterns and changing conditions.

Memory management uses transparent page sharing, memory ballooning, and compression to maximize the use of storage space. If multiple VMs run identical operating systems,  page sharing can eliminate duplicate memory pages, which increases overall VM density. Memory ballooning also reclaims unused memory from idle VMs, redistributing it to active workloads with no noticeable impact on performance.

CPU scheduling uses proportional share algorithms to ensure fair resource distribution while respecting existing priorities. VMs with higher levels of reservation receive guaranteed cycles, while shares determine relative priority during contention situations. Sophisticated scheduling is necessary to prevent resource starvation, while enabling intelligent overcommitment ratios that maximize hardware utilization,  which is particularly valuable for businesses with mixed workload patterns.

Storage I/O control monitors latency and throughput across all virtual machines, with the power to automatically throttle I/O from VMs that have the potential to overwhelm shared storage. This way, “noisy neighbor” problems can be prevented (situations where one VM’s storage activity is a massive detriment to all other systems’ performance). It is a very specific issue that becomes even more relevant in virtualized database environments, where storage performance has a direct impact on user experience and the responsiveness of the application.

Network virtualization through distributed virtual switches maintains consistent policies across ESXi hosts, which enables seamless VM migration from one server to another while also preserving network configurations for either disaster recovery or maintenance. The distributed switch architecture centralizes network policy management efforts, while distributing enforcement to individual hosts, offering a combination of performance scalability and operational simplicity.

OpenStack vs VMware: Which Excels at Backup?

Backup strategies reveal fundamental differences in the ways that VMware and OpenStack approach data protection and recovery. Although each of them supports comprehensive backup solutions, their abundance of architectural distinctions creates many unique opportunities and challenges for businesses that seek resilient architectures with specific goals in mind.

VMware’s integrated ecosystem offers “battle-tested” backup solutions on which large businesses with mission-critical workloads rely, with a significant emphasis on operational simplicity and vendor accountability. OpenStack, on the other hand, uses a service-oriented architecture with granular control over backup processes using API-driven approaches; an approach that is more flexible in comparison, but also presents a higher level of complexity for both planning and implementation.

Backup Architecture Comparison

Aspect OpenStack VMware
Approach Service-specific backup across distributed components Unified, integrated backup via vCenter
Integration API-driven with custom orchestration Mature third-party ecosystem
Recovery Component-level recovery flexibility Complete VM restoration
Complexity More granular control but higher complexity Lower operational overhead
Snapshot approach Instance and volume snapshots separately VM-level snapshots with CBT

Backup Tools in OpenStack

OpenStack’s distributed architecture requires a multi-layered approach that considers compute instances, persistent storage, and metadata separately. This extensive granularity provides unprecedented control over backup policies, but requires very careful and nuanced orchestration to maintain consistency across the entire infrastructure stack.

Freezer is OpenStack’s native backup service, which was designed specifically for cloud-native environments. It operates at a service level, making it very different from traditional solutions that treat VMs as monolithic units. Freezer enables administrators to create backups of Nova instances, Cinder volumes, Swift containers, and even tenant configurations, all while using the same unified policies. The service supports incremental backups, encryption, and cross-region replication, with the latter being extremely important for geographically distributed deployments.

Third-party integration using OpenStack’s REST APIs enables businesses to leverage existing backup infrastructure. Solutions like Commvault, Veeam, and Bacula Enterprise provide OpenStack-aware connectors capable of automatically discovering tenant resources, applying consistent policies, and maintaining backup metadata within the Keystone element for simplified recovery.

The snapshot ecosystem includes both simple point-in-time copies and application-consistent snapshots coordinated between multiple services. For example, Cinder snapshots can be synchronized with Nova instance snapshots and Swift object versioning to create detailed recovery points capable of offering data consistency across distributed application stacks.

Custom backup orchestration using OpenStack API allows businesses to implement dedicated workflows tailored for specific requirements. Python-based automation tools can coordinate backup operations in different availability zones, implement custom retention policies, and integrate with external monitoring systems to offer multifaceted reporting and alerting feature sets.

VMware Backup Strategies: A Closer Look

VMware’s backup ecosystem benefits greatly from its decades of enterprise deployment experience, creating deeply integrated solutions that are simple and impressively reliable. The architecture of the platform enables Changed Block Tracking and Virtual Disk Development Kit integration that can dramatically reduce backup overhead and storage requirements.

vSphere snapshots are the foundation of most backup strategies using VMware: capturing the state of the virtual machine, its memory contents and disk changes in a coordinated manner to guarantee consistency. However, these snapshots were designed for short-term use above all else, which makes them less than suitable for anything but initiating backup.

Enterprise backup integration reaches maturity when used along with solutions that are designed specifically with vSphere in mind. This includes examples like Veeam Backup & Replication, performing image-level backups without requiring installing agents in virtual machines. The backup proxy architecture offloads processing workloads from production ESXi hosts, while using storage snapshots and direct SAN access to optimize network traffic during intensive tasks (such as backup operations).

vCenter integration extends current backup capabilities beyond individual VM protection by providing complete infrastructure recovery scenarios as well. Modern backup solutions can capture vCenter configurations, distributed virtual switch settings, resource pool hierarchies, and vSAN storage policies when needed. It is a complex approach that helps businesses recover entire datacenters’ worth of configurations after massive failures or other issues that are similar in scope.

One of VMware’s significant benefits is application-aware processing.  Integration with Microsoft VSS, Oracle RMAN, and other application-specific APIs provides transactional consistency for database workloads. These integrations are also coordinated with vSphere to create app-consistent recovery points, without conducting lengthy quiesce operations that may impact production performance for a prolonged time period.

Scheduled Backups in OpenStack vs ESXi

These solutions’ scheduling approaches reveal differences in architectural philosophies that extend beyond simple automation. OpenStack’s service-oriented design allows for the implementation of fine-grained scheduling policies that adapt to cloud-native application patterns, while VMware’s more integrated methods provide robust scheduling capabilities with enterprise-grade reliability.

OpenStack scheduling flexibility is possible because of its API-first architecture and integration with orchestration platforms, like Ansible and Heat. Organizations can implement sophisticated backup schedules that track tenant priorities, resource availability, and cross-region replication requirements, all at the same time. Policy-driven scheduling can use resource tags, project membership, and custom metadata to enable backup policy automation, making it possible to set up specific backup timelines and features in specific circumstances. This way, production VMs can receive hourly snapshots with extended retention, while development resources are backed up daily with much shorter retention windows.

VMware’s scheduling complexity leverages its centralized management capabilities to create enterprise-grade backup policies across entire virtual infrastructures. Integration with Distributed Resource Scheduler ensures that backup operations are not conflicting with critical workloads in peak usage hours. Backup schedules can also adjust themselves automatically to respond to changes in:  VM resource utilization patterns, storage performance metrics, and network bandwidth availability.

Resource-aware scheduling in VMware environments works with storage array integration, allowing backup operations to use array-based snapshot features during low-activity segments of the workday. Such coordination can help minimize the performance impact on production workloads, while ensuring the completeness of backup operations within predefined maintenance windows.

Key Takeaways

Choose OpenStack when your backup needs are:

  • API-driven automation and custom workflows;
  • Cost optimization using flexible backup architectures;
  • Granular control over backup policies and procedures;
  • Support for isolated backup strategies in multi-tenant environments.

Choose VMware when your backup needs look more like this:

  • Seamless integration with existing enterprise backup solutions;
  • Comprehensive disaster recovery capabilities;
  • Operational simplicity and vendor accountability;
  • Easy support for legacy applications with minimal backup procedure changes.

How to Migrate Between OpenStack and VMware?

Migration between these platforms is one of the most complex undertakings in modern infrastructure management. The architectural differences between the two create substantial challenges that go beyond simple workload movement, requiring  a combination of careful planning, specialized tooling, and fundamental changes to operational processes. Organizations seem to pursue these migrations when driven by cost optimization or vendor optimization efforts, with a strategic shift toward open-source infrastructure as yet another possibility.

The overall complexity of the process stems from fundamental differences in how each platform abstracts and manages resources. VMware’s integrated approach creates dependencies that are difficult to translate directly into OpenStack’s service-oriented architecture. OpenStack’s modularity can also be challenging to deal with when there is a need to consolidate it with VMware’s unified ecosystem.

Migration Planning Framework

Infrastructure cataloging must extend beyond VMs to include security policies, networking configurations, automation scripts, and operational procedures. This assessment can reveal hidden dependencies that may be important to transfer,  such as backup scripts using platform-specific APIs or load balancer configuration tied to specific network topologies.

Workload classification is what determines migration complexity and approach:

  • Simple migrations: Stateless applications with few-or-no infrastructure dependencies.
  • Complex migrations: Multi-tier applications requiring specialized networking or storage.
  • High-risk migrations: Database servers that require guarantees of data consistency; applications with platform-specific licensing.

Timeline and risk planning processes must account for learning curves, testing phases, and rollback scenarios. VMware-to-OpenStack migrations face steeper operational learning curves, while OpenStack-to-VMware transitions may encounter licensing constraints or architectural limitations.

Migration cost considerations should also be given high priority, because many different factors contribute to the total cost of migration in addition to the upfront licensing fee:

  • Licensing changes;
  • Consulting services;
  • Tool and process reengineering;
  • Staff training and certification;
  • Downtime costs.

VMware to OpenStack Migration

The exact technicalities will vary in most cases, depending on many factors, but a number of major technical elements are common enough to be covered here.

Disk image conversion is the most straightforward path for migration, using qemu-img tools to convert VMDK (VMware) files directly to QCOW2 format (OpenStack). It should be noted, though, that hardware abstraction differences between VMware’s virtual hardware and OpenStack’s KVM-based virtualization require careful and thorough testing.

Network architecture translation is the most difficult part of the migration. All of VMware’s distributed virtual switches, port groups, and VLAN configurations must map to OpenStack’s Neutron networking model. Furthermore, businesses that use advanced VMware networking features (such as load balancers or distributed firewalls) may need to redesign their entire network topologies from scratch.

Storage migration strategies vary dramatically, depending on the complexity of the underlying infrastructure. VMware vSAN users face particular challenges, due to the absence of direct equivalents on the OpenStack side, which requires  transitory migration to Ceph, Swift, or other OpenStack-compatible solution with a potential impact on performance.

Key success factors here include the usage of a pilot project approach, along with parallel environment testing before production is migrated. Conducting application compatibility validation and investing in the development of staff skills are also both highly important here.

OpenStack to VMware Migration

The same logic applies here, as well, with certain key elements of the migration process being common enough to highlight in detail.

Instance conversion requires translating OpenStack’s flexible resource allocation to VMware’s more structured model. Virtual machines with dynamic resizing capability need fixed resource allocations, demanding careful capacity planning  to avoid over- or under-provisioning.

Identity management simplification becomes necessary because OpenStack’s Keystone can offer role-based access control capabilities with more granularity than can VMware’s traditional user management. Organizations must either implement additional identity solutions or simplify their existing access policies to proceed.

Storage consolidation processes can prove beneficial, with multiple OpenStack storage services able to consolidate to VMware’s centralized architecture. However, any applications that use object storage APIs directly would have to be modified accordingly afterwards.

The entire translation process typically requires administrative complexity, while losing a portion of the system’s flexibility. VMware’s GUI-driven tools simplify operations for teams well-versed in OpenStack’s command-line interfaces, but may require staff retraining and updated procedure instructions.

Migration Timeline and Risk Mitigation Steps

A typical system migration timeline should be comprised of the following steps:

  1. Assessment and Planning
    1. Infrastructure discovery and dependency mapping
    2. Staff training and skill development
    3. Workload classification and migration prioritization
  2. Pilot Migration
    1. Non-critical workload testing
    2. Tool and automation development
    3. Process validation and refinement
  3. Production Migration
    1. Phased workload migration based on complexity
    2. Operational procedure implementation
    3. Application testing and validation
  4. Optimization and Stabilization
    1. Performance tuning and optimization
    2. Process documentation and standardization
    3. Staff certification and advanced training

Potentially useful risk mitigation strategies for migration processes include proper testing of rollback procedures for each workload, extended parallel operations during transition periods, comprehensive backup and recovery plans, and vendor support engagement in the most critical migration phases.

Primary Use Cases: OpenStack vs VMware

Detailed examination of real-world deployment scenarios is needed to understand where each platform excels. Enterprise adoption patterns can help reveal distinct sweet spots in which each platform’s architectural decisions can create compelling advantages for specific technical requirements and organizational needs.

VMware’s Enterprise Strongholds

VMware has an uncontested dominant position in traditional enterprise environments in which stability, vendor support, and operational simplicity are more important than flexibility and cost optimization. Large financial institutions, healthcare organizations, and government agencies tend to prefer VMware for  mission-critical applications demanding predictable performance, comprehensive support, and proven disaster recovery capabilities. Environments like these often feature standardized hardware configurations, established operational procedures, and risk-averse IT cultures that value the maturity of VMware’s ecosystem over more experimental methods or approaches.

Legacy application modernization is VMware’s most compelling value proposition. Organizations with existing investments in Windows-based applications, proprietary software with specific virtualization requirements, and complex multi-tier applications may find VMware’s focus on compatibility to be absolutely priceless. The ability to virtualize demanding applications without modification makes VMware  incredibly attractive for businesses that cannot easily refactor their application portfolios. This factor becomes even more important when dealing with enterprise applications that have established licensing agreements tied to specific virtualization platforms.

Enterprise development environments, on the other hand, are where  VMware’s operational advantages are clear. vCenter integration and mature template management tend to appeal to companies that standardize development environments across distributed teams. Features such as linked clones, automated provisioning (through vRealize Automation), and seamless integration with enterprise identity systems help create compelling developer experiences, especially in Windows-centric organizations where reliability and consistency are valued much more than extensive flexibility.

OpenStack’s Innovation Advantages

OpenStack shines brightest in environments where cloud-native development, customization, and cost control drive most infrastructure decisions. Technology companies, organizations building software-as-a-service platforms, and research institutions value OpenStack for its ability to support multifaceted workloads without the fear of vendor lock-in. These deployments frequently feature heterogeneous hardware, custom automation requirements, and development teams that are comfortable handling API-driven infrastructure management processes.

Multi-tenant service providers represent OpenStack’s most natural target customers. Telecommunication companies, managed service providers, and public cloud operators can utilize the full potential of OpenStack’s flexible resource allocation, tenant isolation capabilities, and extensive API ecosystem to build differentiated service offerings. The fact that this platform can easily support thousands of tenants with varying resource requirements and SLAs makes it especially attractive to organizations that monetize infrastructure services. Unlike VMware and its per-socket licensing model, OpenStack allows service providers to scale without the proportional increase in licensing costs.

Cloud-native development environments also benefit from OpenStack’s architectural advantages. The platform’s API-first design and integration with DevOps toolchains make it a great choice for businesses embracing infrastructure-as-code methodologies. Development teams relying on Ansible, Kubernetes, or Terraform often prefer OpenStack for its granular resource control and extensive automation capabilities. It can programmatically provision complex multi-tier environments in support of continuous integration pipelines and automated testing scenarios that would require substantial administrative tooling in any VMware environment.

Hybrid Cloud and Edge Computing Deployments

Hybrid cloud strategies showcase the evolving capabilities of both platforms,  albeit, through different approaches. VMware’s vCloud Director and strategic cloud partnerships enable organizations to extend their on-premises infrastructure to public cloud providers, while maintaining consistent  management interfaces. This particular approach is quite appealing to enterprises that want the benefits of the cloud without fundamental operational changes in their existing environments, creating a migration path that preserves existing skills and procedures.

OpenStack’s role in hybrid scenarios strongly emphasizes private cloud integration with public cloud services. Companies that use OpenStack can implement consistent APIs across both private and public cloud resources, enabling true workload portability with a unified automation feature set. Such flexibility is an absolute deal-breaker for organizations with data sovereignty requirements or specialized compliance needs, in other words, anything that could prevent full public cloud adoption.

The emerging edge computing landscape also introduces its own differentiation patterns for these solutions. VMware has a stronger focus on businesses that deploy standardized configurations across distributed locations, powered by products like VMware Edge Compute Stack. The platform’s capabilities for centralized management (in combination with automated deployment features) appeal greatly to retailers, manufacturers, and telecommunications companies that must manage thousands of edge locations with little-to-no local IT support.

OpenStack has its own share of edge computing advantages, as well, made possible by its modular architecture. It remains a great choice for any company that requires integration with specialized hardware or customized edge configurations (for example, running only Nova and Neutron services), offering immense flexibility that no integrated platform can easily match, while also enabling unique edge solutions for IoT, manufacturing, and research applications.

Storage Management: VMware vs OpenStack

Storage architectures reveal fundamental philosophical differences between these platforms. VMware’s unified storage approach stands out when compared with OpenStack’s service-segregated model, creating distinct advantages for different use cases and organizational needs.

VMware’s storage strategy is focused  on simplification and abstraction. vSphere offers a unified view of storage resources, regardless of underlying architecture, enabling features like Storage vMotion for seamless disk migration and Storage DRS for automatic load balancing. The datastore concept generated by the platform creates operational simplicity by allowing VMs to consume storage from different pools, without exposing administrators to unnecessary  complexity.

OpenStack embraces its service specialization with a variety of distinct components: Swift for object storage, Cinder for block storage, and Glance for image management. Such separation enables  organizations to optimize each storage type completely independently from the rest, while mixing and matching different technologies for the best results in performance and optimization. Multi-tenancy support offers isolated storage resources with granular quote management, which allows tenants to have close control over storage provisioning using self-service interfaces.

Operational complexity is one of the greatest differentiators between the two.

  • VMware offers unified storage management using vCenter, with consistent interfaces across a diverse range of storage systems.
  • OpenStack uses a service-oriented model that enables powerful automation using well-documented REST APIs, but also requires a good grasp of multiple APIs and configuration approaches.

These platforms’ scalability characteristics also differ significantly from one another. VMware tends to scale by expanding datastores or by adding storage arrays with centralized management. OpenStack uses a much more distributed approach, enabling Swift object storage to scale across multiple regions, while Cinder integrates with software-defined solutions, such as Ceph, to scale horizontally across commodity hardware.

Comparative Strengths of OpenStack and VMware

It would be fair to say that this article has explored many of the features and advantages of each platform. However, exploring several additional options will make this comparison more nuanced and detailed.

VMware’s Enterprise Advantages

Talent availability is one of VMware’s substantial operational advantages. That this platform has been on the market for two decades has created a large pool of experienced administrators, architects, and consultants with dedicated expertise. As a result, businesses should have an easier time recruiting staff, accessing training resources, and engaging third-party consulting services, all of which reduce implementation risks and ongoing operational challenges.

Regulatory compliance and security certifications showcase VMware’s significant focus on its enterprise client base. VMare maintains extensive compliance certifications (STIG baselines, Common Criteria, FIPS 140-2) that both government and highly regulated industries require. VMware’s security hardening guides and enterprise security tool integration also can create compliance frameworks that would be much more difficult to establish on the same level in OpenStack.

Change management sophistication makes controlled infrastructure changes possible (with comprehensive rollback mechanisms). Features like distributed resource scheduling, maintenance mode, and automated failover help reduce the risk of change-related outages that sometimes plague more complex, distributed environments.

OpenStack’s Innovation Strengths

Innovation velocity is a massive advantage, in addition to  the technical flexibility that has already been discussed.  The platform’s open development model provides rapid integration capabilities for cutting-edge technologies, like GPU acceleration, container orchestration, and edge computing. These features may take years to appear in proprietary platforms, while OpenStack can integrate them in just a few months.

Global community involvement provides diverse perspectives on the same topics, along with efficient issue resolution capabilities. Problems discovered by an organization can be mitigated or resolved using solutions developed by various community members or companies facing similar challenges. This collaborative approach accelerates troubleshooting and feature development – especially when compared with the way most traditional vendor support models work.

The economics of horizontal scaling enable the more cost-effective growth patterns that traditional platforms often struggle to offer. The ability to add capacity incrementally, using nothing but commodity hardware, is arguably priceless, especially when conducted without being constrained by architectural bottlenecks or proportional increases in licensing costs.

Cost Structures: VMware vs OpenStack

Cost comparisons between these platforms can reveal substantial complexities that extend well beyond simple licensing comparisons. The Total Cost of Ownership in both cases must include both  licensing information itself, hardware requirements, operational expenses, and the hidden costs that often surprise organizations during implementation and even during routine operation.

The Economics of VMware’s Licensing

VMware’s licensing model offers predictable subscription fees based on processor cores, memory capacity, or virtual machine count. These costs are transparent and predictable, but they can scale up significantly as infrastructure grows – creating pressure on organizations to optimize VM density and improve resource utilization to avoid massive cost increases.

Enterprise feature costs add further complexity to VMware’s existing pricing model. Basic vSphere licensing offers fundamental virtualization capabilities, but more advanced features, such as vMotion, Distributed Resource Scheduler, or high-availability clustering, require the purchase of higher-tier licenses. It is completely common for businesses to discover that features assumed to be included actually require expensive add-ons or price increases on top of the existing licensing fee, creating “budget surprises” during implementation.

Support and maintenance fees offer access to technical support, software updates, and extensive knowledge bases that may substantially reduce operational overhead. Vendor support like this is justified for most organizations, due to the reduction in downtime and faster problem resolution it brings.

OpenStack’s Hidden Costs

OpenStack has eliminated licensing fees entirely, but this apparent cost advantage still necessitates a careful analysis of potential implementation and operational expenses that are not exactly apparent. Most companies would need to invest heavily in skilled personnel, training, and even consulting services  to successfully deploy, and then manage, OpenStack-based environments. The unique knowledge required for managing these processes often commands premium salaries that can offset potential licensing savings, especially in smaller deployments.

Hardware flexibility is an undisputed cost advantage of OpenStack, creating  the ability to use commodity hardware to expand infrastructure . Organizations can leverage standard servers, networking equipment, and storage systems without vendor-specific requirements, which enables competitive procurement processes while reducing dependency on specific hardware vendors.

Operational complexity cost is a substantial hidden expense of OpenStack that many businesses tend to underestimate. Deployments like these typically require larger operational teams with diverse skill sets, be it Python scripting, Linux administration, networking, storage expertise, and so on. The complexity of troubleshooting the platform can influence resolution times for many different issues, with potential impact on service availability and sometimes requiring additional staffing or even external support contracts.

Scalability, Break-Even, Market Dynamics, and Vendor Risk

The cost equation varies significantly, depending on the scale of deployment and the organization’s capabilities. Small to medium deployments tend to favor VMware’slower operational overhead, despite its higher licensing costs. Large deployments can achieve substantial cost savings with OpenStack, assuming they can acquire adequate operational expertise and management capabilities beforehand.

Third-party integration costs can impact both platforms, but in different ways. The maturity of VMware’s ecosystem often reduces integration expenses with pre-built connectors and certified solutions. OpenStack deployments, on the other hand, can be notoriously challenging to set up, with custom development or specialized consulting needed in many complex cases to integrate with enterprise applications, backup solutions, and monitoring systems.

Long-term cost considerations, including vendor relationship dynamics, affects pricing over time in their own way. VMware’s 2023 acquisition by Broadcom is a good example of the validity of such concerns, when substantial licensing model changes and significant price increases drove  a mass exodus of enterprise customers to potential alternatives (including OpenStack). The acquisition also eliminated perpetual licensing options, forcing customers into subscription models, while also discontinuing lower-tier products that many smaller organizations had been using.

OpenStack’s open-source nature protects against vendor lock-in, but its price risk is largely concentrated in different factors, such as  skilled labor markets, hardware vendors, and support service providers. Training and certification investments also vary substantially between the two, with VMware offering established programs and predictable costs. Required investments in training for OpenStack are more difficult to evaluate,  due to OpenStack’s rapid evolution and improvement.

VMware vs OpenStack: Final Thoughts

The choice between VMware and OpenStack is largely a function of  organizational priorities, rather than the pure technical superiority of one solution over another. VMware excels in environments that prioritize operational simplicity, vendor accountability, and proven enterprise integration, making it an ideal  solution for risk-averse organizations with established IT processes. VMware’s mature ecosystem offers substantial value for organizations that cannot afford extended downtime or complex troubleshooting scenarios.

OpenStack, on the other hand, shines where flexibility, cost control, and technological innovation are valued more than anything else, even operational simplicity. Theplatform’s open architecture  provides extensive customization options that proprietary solutions cannot even begin to match, appealing heavily to technology companies, service providers, and businesses with specialized requirements. At the same time, this flexibility comes at a steep price: the need to hire and maintain skilled personnel and sophisticated management processes.

Scale plays a crucial role in deciding between the two options. Small to medium deployments may favor VMware’s more integrated approach and lower operational overhead, while large-scale deployments may be able to achieve significant cost savings with the correct implementation of OpenStack. Each business must honestly assess its technical capabilities, operational maturity, and even growth projections, when evaluating these platforms as their preferred  solution.

Neither platform should be considered a perfect – or a permanent – choice:  successful organizations increasingly rely on hybrid strategies that leverage each platform’s strengths for appropriate use cases. VMware may be the better option of the two at  handling mission-critical production workloads, but OpenStack is undoubtedly superior in supporting development environments and/or cost-sensitive deployments.

Regardless of platform choice, robust backup and data protection remain a crucial factor for any business environment. Solutions like Bacula Enterprise can be adapted to both of these platforms, providing comprehensive backup capabilities that offer organizations a range of consistent data protection strategies capable of working in hybrid infrastructure deployments and supporting platform migration scenarios.

Frequently Asked Questions

Which is better for startups or research labs: OpenStack or VMware?

OpenStack’s lack of licensing costs and its ability to run on commodity hardware with minimal upfront investment typically make it  the better choice for  startups and research labs. Research labs particularly value OpenStack’s customization capabilities and integration with dedicated hardware, while the open-source nature of the platform enables unique modifications for achieving various experimental requirements. However, startups that are more focused on rapid development may find VMware’s operational simplicity significantly more valuable if infrastructure management distracts from core business activities.

Can OpenStack be a full replacement for VMware in enterprise environments?

OpenStack can replace VMware in certain enterprise environments, but the success of the replacement depends heavily on the organizaton’s technical maturity and specific use case requirements. Operational transformation is the greatest challenge here: developing new skills, processes, and toolchains, all while addressing legacy application compatibility issues. Successful OpenStack deployments at the enterprise level typically  migrate to OpenStack gradually,  starting with development environments before expanding to production workloads.

How do storage options differ between OpenStack and VMware?

VMware provides unified storage abstraction using datastores that hide its underlying complexity, while enabling management processes with consistent vCenter interfaces, simplifying operations but limiting flexibility. OpenStack uses a service-oriented storage model with dedicated services: Cinder for block storage, Swift for object storage, and Glance for image management, to provide extensive optimization at the cost of more complex management. The choice between the two depends on whether a company prioritizes operational simplicity (VMware) or extensive granularity (OpenStack).

About the author
Rob Morrison
Rob Morrison is the marketing director at Bacula Systems. He started his IT marketing career with Silicon Graphics in Switzerland, performing strongly in various marketing management roles for almost 10 years. In the next 10 years Rob also held various marketing management positions in JBoss, Red Hat and Pentaho ensuring market share growth for these well-known companies. He is a graduate of Plymouth University and holds an Honours Digital Media and Communications degree, and completed an Overseas Studies Program.
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