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A data centre is a physical facility that houses computing equipment; cloud computing is a way to consume computing resources as services, usually over a network. They are not opposites: cloud services run in data centres, and an organisation can run private-cloud services in its own facility. The right choice depends on each workload’s costs, demand, control and compliance needs, performance, security responsibilities, and the team available to operate it. For many organisations, the answer is a considered mix rather than a single location for everything.
What is the difference between a data centre and cloud computing?
A data centre describes a place and the physical infrastructure inside it. Cloud computing describes a service model: an organisation gets computing capabilities such as processing, storage, or databases when needed instead of owning and operating all the infrastructure that provides them. AWS Prescriptive Guidance defines cloud computing as the on-demand delivery of IT resources over the internet with pay-as-you-go pricing.
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| Term | What it describes | What it does not tell you by itself |
|---|---|---|
| Data centre | A facility and the physical infrastructure used to house IT systems. | Whether the equipment is owned by your organisation, a provider, or shared; or how services are delivered to users. |
| On-premises | Systems operated at an organisation’s premises or in its own controlled environment. | That the environment is a private cloud. It may simply be traditional, dedicated infrastructure. |
| Private cloud | A cloud environment dedicated to one organisation. It may be operated on premises. | That the environment is in a public-cloud provider’s facility or that the organisation manages every layer itself. |
| Public cloud | Services supplied by a third party over a network, with infrastructure shared or allocated according to the provider’s model. | That customers have no security, configuration, or application responsibilities. |
| Hybrid cloud | A combination of on-premises or private environments and public-cloud resources. | That systems automatically work together or are simpler to govern because they span environments. |
How do cloud deployment models differ from service models?
Deployment models describe where an environment runs and who controls or uses it. Service models describe how much of the technology stack the provider operates. Treating these as the same classification can lead to a misleading comparison.
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Deployment models: where the environment runs
- On premises: The organisation runs systems in its own environment. It may own the equipment, but the phrase alone does not establish whether the systems are arranged as a cloud.
- Private cloud: Cloud resources are dedicated to one organisation. A private cloud can be on premises; the defining point is dedication to that organisation, not simply the building’s location.
- Public cloud: A provider delivers services over a network. The provider operates the underlying infrastructure, while customers use services within the provider’s architecture.
- Hybrid cloud: On-premises or private environments are combined with public-cloud resources. The organisation chooses which workloads use each environment and must manage the connections and controls between them.
Service models: what the provider manages
Infrastructure as a service (IaaS), platform as a service (PaaS), software as a service (SaaS), and serverless describe different service arrangements and management boundaries. Broadly, the more managed the service, the less of the underlying stack the customer operates directly; the exact division depends on the service. These labels do not tell you whether all of an organisation’s systems are in the cloud, nor do they settle what a particular workload should use.
For a useful comparison, identify both axes for each workload. For example: a system can be hosted in a provider’s public cloud and consumed as IaaS, or run in an on-premises private cloud. A SaaS application is a cloud service, but its user does not thereby own or operate the data centre beneath it.
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Which option should you choose for a workload?
There is no universal winner. Compare the workload’s requirements and the organisation’s ability to meet them in each environment; different applications can have different answers.
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| Decision factor | Questions to ask | What may favour on-premises or private infrastructure | What may favour public cloud |
|---|---|---|---|
| Ownership and control | Which infrastructure and configuration decisions must the organisation control directly? | A need for direct control over equipment, configuration, or the operating environment. | A preference to consume provider-operated infrastructure and services rather than own the underlying facility and equipment. |
| Cost and capacity | What will the workload cost over its expected life, including staffing, maintenance, upgrades, service configuration, and data movement? | Existing infrastructure investment or a workload whose actual utilisation and operating costs support continued use. | Demand that varies, where buying capacity for peaks is unattractive and usage-based services suit the workload. |
| Scaling with demand | How quickly and by how much does demand change, and how much unused capacity is acceptable? | Demand and required capacity that are predictable enough to plan within the organisation’s infrastructure. | A need to obtain or reduce capacity through provider services rather than sizing all capacity around a peak. |
| Data location and requirements | Where must data reside, and which service, region, configuration, and controls meet the organisation’s obligations? | A requirement for direct control over placement or a workload that must remain in a particular environment. | A provider service and region that meet the organisation’s verified requirements. |
| Latency, performance, and legacy dependencies | How close must systems be to users or data? Are there specialised performance needs or dependencies that are hard to move? | Systems that are difficult to migrate, or workloads with location and performance constraints better met in the current environment. | Workloads whose requirements fit the selected service and whose dependencies can be moved or connected appropriately. |
| Security responsibilities | Who will secure the physical infrastructure, operating environment, applications, data, and customer-side configuration? | A team able to operate and secure the hardware and software directly, with the necessary controls. | A service where provider-managed infrastructure is useful and the customer can still meet its responsibilities for data, applications, and configuration. |
| Operational capability | Which skills, processes, visibility, and support can the organisation sustain? | An organisation with the capability and appetite to operate the infrastructure it owns or controls. | An organisation that benefits from provider-managed services and can competently manage its cloud configuration and applications. |
Make the comparison workload by workload
Start with the application or service, not a company-wide label such as “cloud-first.” Record what it does, which data it uses, who depends on it, what it connects to, and what must stay available. Then assess the same requirements against each viable destination. This prevents a good fit for one system from being assumed to fit every system.
- Describe the workload: Identify its users, data, connected systems, demand pattern, operational owner, and any specialised performance or location needs.
- Identify non-negotiable requirements: Separate requirements the environment must meet from preferences. For legal or regulatory obligations, check the applicable rules for the relevant jurisdiction, sector, and data; no location label by itself proves compliance.
- Compare full operating costs: Include infrastructure or service charges, utilisation, support, staffing, maintenance, upgrades, and data movement. Use a realistic time horizon and the actual service configuration rather than an assumed cloud discount.
- Map responsibilities: Write down who will operate and secure each layer in each option. Confirm that the team can carry out the work assigned to it.
- Check dependencies and transition work: Account for connections to other systems, migration effort, and where users and data are located. A technically possible move may still create operational or performance problems.
- Choose a placement and review it: Put the workload where its requirements and operating model fit best. Reassess when its demand, dependencies, controls, or costs materially change.
Is cloud computing always cheaper than owning a data centre?
No. Cloud can reduce the need to buy and maintain infrastructure sized for peak demand, and pay-as-you-go services can suit variable usage. But those advantages do not prove that cloud will cost less for a particular workload. The sources do not establish a universal cost winner or provide a workload-specific estimate.
Build a like-for-like cost comparison
- On-premises or private infrastructure: Account for upfront investment and ongoing operation, including maintenance, security, upgrades, and the staff needed to keep the environment running.
- Public cloud: Estimate the actual service configuration and expected use, plus relevant support, staffing, and data movement. Do not assume that moving a workload eliminates its operating costs.
- Both options: Compare over the same expected period and against the same demand pattern. Include the cost of capacity that sits unused as well as the consequences of not having enough capacity.
Use current prices and terms for the specific services and regions under consideration. Pricing, regional availability, and data-transfer charges can vary; general descriptions of cloud pricing are not a quote for your workload. A comparison that omits configuration, utilisation, data movement, or the people needed to operate the system may produce a false winner.
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Which option is more secure?
Neither is inherently more secure. The meaningful question is whether the organisation and its provider can meet the workload’s security requirements, and whether responsibilities are clearly understood.
In public cloud, the provider manages physical and underlying infrastructure. The customer still has responsibilities for its data and applications and for customer-side configuration. The applicable division depends on the service, so teams must identify the actual boundary rather than assume that “the cloud provider handles security.” On premises, the organisation must operate and secure the hardware and software it runs. Direct control can be valuable, but it also means the organisation has to sustain the work.
Check the responsibility boundary
- List the controls the workload requires and the party responsible for implementing and maintaining each one.
- For a cloud service, check what the provider manages and what remains the customer’s job for that specific service.
- For an on-premises environment, confirm the organisation has the people and operating processes to secure its physical and software layers.
- Check the service and region against the organisation’s data-location and regulatory requirements; do not infer legal suitability from the deployment model alone.
When does hybrid cloud make sense?
Hybrid cloud combines private or traditional on-premises infrastructure with one or more public clouds. It can be useful when different workloads have different constraints, when an organisation is moving systems gradually, or when existing data-centre investments support continued use alongside cloud services.
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Potential fits include regulated workloads, legacy systems that are difficult to move, edge locations, and temporary capacity needs. These are reasons to assess hybrid placement, not guarantees that a hybrid design will be compliant, faster, cheaper, or easier to operate. Google Cloud’s hybrid-cloud guidance, updated 5 October 2026, also describes hybrid use cases and the added complexity of operating across environments.
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| Potential benefit | Operational work to plan for |
|---|---|
| Keep selected workloads in a controlled environment while using public cloud for other needs. | Coordinate identity, access, security controls, and governance across environments. |
| Move applications in stages instead of requiring a single, organisation-wide transition. | Connect systems and manage data movement while applications depend on more than one environment. |
| Continue using existing data-centre investments where they still support a workload. | Maintain visibility and monitoring across both the existing environment and cloud services. |
| Place selected workloads near users or data, or address temporary capacity needs. | Develop the skills and processes to operate the resulting architecture rather than treating each environment as independent. |
A hybrid design is not simply “some systems here and some there.” The organisation needs to decide how environments connect, how people and services are identified, where data moves, which controls apply, and how teams observe and govern the whole system. AWS Prescriptive Guidance advises using managed cloud solutions where practical, considering hybrid when existing data-centre investments support continued use, and reserving multicloud for workloads with requirements one provider cannot meet.
What are the common mistakes when comparing data centres and cloud?
- Comparing a place with a service model: A data centre is a facility; cloud computing is a way to consume resources. Compare where systems run and who operates each layer.
- Calling every on-premises environment a private cloud: On-premises describes location or operation, not whether resources are delivered as cloud services.
- Assuming cloud is automatically cheaper or more scalable: Fit depends on the workload, utilisation, service configuration, data movement, and operating capability.
- Treating provider-managed infrastructure as complete security coverage: Customer responsibilities for data, applications, and configuration remain.
- Assuming a region or deployment label proves compliance: Verify the actual service and region against the rules and requirements that apply to the organisation.
- Moving everything at once because one workload fits: Applications differ in dependencies, performance, data, and operational needs. Assess them individually.
- Choosing hybrid to avoid making a decision: Hybrid can accommodate distinct requirements, but it introduces cross-environment integration and management work that must be owned.
How can you make a practical decision?
For each workload, choose the environment that meets its requirements at an acceptable full-period cost and can be operated securely by the people responsible for it. If different workloads point to different answers, a mixed or hybrid approach may be appropriate—but only if the organisation can manage the added connections and governance.
Before committing, make the decision explainable: record the workload’s non-negotiable requirements, the alternatives considered, the relevant operating responsibilities, and the assumptions behind the cost estimate. That gives the team a basis for revisiting placement if usage, infrastructure investments, provider services, or business requirements change.
Frequently Asked Questions
Does cloud computing require an internet connection?
The AWS definition describes cloud delivery over the internet, while organisations may also connect environments through other network arrangements. What matters for a specific workload is whether its required users and systems can reach the chosen service reliably; the deployment label alone does not establish that.
Can an organisation use cloud services without moving every application?
Yes. Cloud services can be adopted for selected workloads while other systems remain in an existing environment. Each application’s dependencies and operating needs determine whether that split is workable.
Does using a private cloud mean the organisation owns the servers?
Not necessarily. “Private cloud” means an environment dedicated to one organisation; it may be on premises, but the term alone does not establish who owns or operates the underlying equipment.
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