When a business needs IT infrastructure, it faces a fundamental question: do I rent space in a datacenter to house my own hardware, or do I rent virtualised infrastructure and pay as I go? The first option is colocation; the second is public cloud. Both models solve the same problem (I need reliable compute) but they do it in radically different ways.
The trend over the past decade has been to migrate to the cloud. However, more and more businesses are re-evaluating that decision. According to a report by the Uptime Institute, the colocation market continues to grow at double digits, driven by demand for control, data sovereignty and long-term cost optimisation. Cloud is not in retreat, but it is no longer the only answer.
In this article we break down both models in depth, compare their real costs with a TCO analysis at 3 and 5 years, and help you decide which one fits your business better, or whether the answer is a combination of both.
What Is Colocation?
Colocation (also known as housing or colo) means installing your own hardware in a third-party data centre. You purchase the servers, switches, storage arrays and any other equipment you need. The colocation provider supplies the physical space (rack or cage), electrical power with UPS and generator backup, cooling, 24/7 physical security and network connectivity.
In essence, you are renting the environment, not the machine. The hardware is yours, with everything that entails: full control over configuration, operating system, firmware, updates and the equipment lifecycle. You decide when to add RAM, swap disks or replace an entire server.
Colocation data centres are classified according to the Uptime Institute Tier classification. A Tier III datacenter guarantees 99.982% availability with concurrent maintenance, while a Tier IV achieves 99.995% with fault tolerance. At EasyDataHost we operate from Data4 Madrid, a Tier III+ data centre that combines Tier III redundancy with Tier IV elements.
- check_circle Full hardware control: you choose the brand, model, configuration and lifecycle.
- check_circle Space, power and connectivity: the datacenter provides the critical environment.
- check_circle No overcommit: physical resources are exclusively yours.
- check_circle Carrier-neutral connectivity: access to multiple carriers and exchange points.
What Is Public Cloud?
Public cloud is an infrastructure model in which a provider (AWS, Azure, Google Cloud or European providers like EasyDataHost) offers you compute, storage and networking resources in a virtualised, on-demand fashion. You do not buy hardware: you rent capacity by the hour, month, or through long-term reservations.
The underlying infrastructure is managed entirely by the provider. They deliver virtual machines, disk volumes and IP addresses. You handle what runs inside the VM: operating system, applications and data. In more advanced models (PaaS, serverless), even that layer is managed by the provider.
The main appeal of the public cloud is elasticity: you can go from 2 to 200 servers in minutes, then back to 2 when demand drops. This makes it ideal for unpredictable workloads, temporary projects, or businesses that need to scale globally without investing in physical hardware in every region.
- check_circle No upfront investment: everything is OPEX, no hardware purchase.
- check_circle Elastic scalability: resources on demand in minutes.
- check_circle Managed services: databases, Kubernetes, AI and more, managed by the provider.
- check_circle Geographic disaster recovery: replicas across multiple world regions.
Comparison Table: Colocation vs Public Cloud
The following table summarises the key differences between colocation and public cloud across the eight criteria that most impact infrastructure decisions:
| Criterion | Colocation | Public Cloud |
|---|---|---|
| Hardware control | Full: your hardware, your configuration, your firmware | None: abstract hardware managed by the provider |
| Cost model | CAPEX (hardware) + OPEX (fixed monthly housing) | 100% OPEX (pay-as-you-go or reservations) |
| Scalability | Requires purchasing and installing new hardware (days/weeks) | Instant: scale in minutes via API or panel |
| Customisation | Unlimited: GPU, FPGA, custom networking, BIOS, kernel | Limited to the provider's instance catalogue |
| Compliance | Physical isolation, full data control, local sovereignty | Depends on provider and region, shared responsibility |
| Latency | Minimal: bare metal with no virtualisation overhead | Variable: depends on instance type and shared network |
| Vendor dependency | Low: your hardware is portable between datacenters | High: vendor lock-in via proprietary services and egress fees |
| Long-term TCO | Decreases after CAPEX is amortised (tipping point: 18-24 months) | Grows linearly with consumption, no tipping point |
Colocation Advantages
Colocation shines when the business has volume, stability and control requirements that the cloud cannot meet at the same cost. Here are the main advantages:
- arrow_right Amortised CAPEX: once the hardware is paid off (typically 3-5 years), the monthly cost drops dramatically. You only pay for housing, power and maintenance. This makes the cost per vCPU or per TB significantly lower than in the cloud.
- arrow_right Bare-metal performance: no hypervisor in the way, no resource overcommit, no noisy neighbour. Performance is what the hardware can deliver, full stop. Critical for databases, HPC and I/O-intensive workloads.
- arrow_right Compliance and data sovereignty: with colocation, your data resides on identifiable physical hardware in a known location. This enormously simplifies compliance with GDPR, ENS, PCI-DSS and sector-specific regulations that require local data sovereignty.
- arrow_right No egress fees: in public cloud, every GB you move out of the platform has a cost (the infamous egress fees). In colocation, outbound traffic is included or has a fixed, predictable cost through your network connectivity.
Public Cloud Advantages
Public cloud is unbeatable in speed, flexibility and access to managed services. Here are the key advantages:
- arrow_right No upfront investment: you can start with a minimal budget. No need to buy servers or wait weeks for them to arrive. This drastically lowers the barrier to entry for startups and new projects.
- arrow_right Auto-scaling: capacity adjusts automatically to demand. For an e-commerce site with traffic spikes (Black Friday, sales), the cloud can triple resources and then scale back down, without human intervention.
- arrow_right Geographic disaster recovery: with a few clicks you can have a replica of your infrastructure in another region. This is extremely expensive and complex to implement with your own hardware.
- arrow_right Managed services: managed databases, Kubernetes as a service, message queues, machine learning APIs... The cloud offers an ecosystem of services that accelerate development and reduce operational burden.
Cost Model: TCO at 3 and 5 Years
Cost is typically the decisive factor, and it is where the differences between colocation and cloud become most evident. Let us analyse a typical scenario: a business that needs the equivalent of 4 servers with 64 vCPUs, 256 GB of RAM and 10 TB of NVMe storage in total.
In the public cloud, this configuration costs between EUR 4,000 and 8,000 per month depending on the provider, instance type and whether reservations are contracted. The cost is linear: you pay the same in month 1 as in month 60. If you also handle significant outbound traffic volumes, egress fees can add between 10% and 30% to the total cost. Over 3 years, the cumulative TCO can range from EUR 144,000 to 312,000.
In colocation, the initial hardware investment is around EUR 25,000-40,000 (4 Dell PowerEdge servers). The monthly cost for housing, power and connectivity ranges from EUR 800 to 1,500. Over 3 years, the total TCO falls between EUR 53,800 and 94,000, a difference of 60% to 70% compared to cloud. Over 5 years, the gap widens further because the CAPEX has already been amortised.
Tipping point:
For stable workloads, colocation typically becomes more cost-effective than cloud from 18-24 months onwards. The larger the resource volume and the more stable the workload, the sooner that tipping point is reached. If you also handle large outbound data volumes, the colocation advantage multiplies due to the absence of egress fees.
When to Choose Colocation
Colocation is the right choice when one or more of these criteria apply:
- arrow_right Strict regulation: your industry requires data to reside on identifiable hardware, in a specific location, with physical isolation. Healthcare, banking, public administration and any regulation demanding local data sovereignty.
- arrow_right Stable, predictable workloads: if your resource consumption does not fluctuate significantly month to month, colocation offers a lower unit cost than cloud from the second year onwards.
- arrow_right Specific hardware: you need particular GPUs, DPDK network cards, FPGAs, special RAID configurations or any device not available in a cloud provider's standard catalogue.
- arrow_right Large data volumes: if you move terabytes of outbound data every month, cloud egress fees can represent a significant portion of your bill. In colocation, that cost is fixed or non-existent.
When to Choose Public Cloud
Public cloud wins in these scenarios:
- arrow_right Startups and early-stage projects: you need to move fast, test hypotheses and you do not know how much you will grow. Cloud eliminates the risk of over-provisioning (or under-provisioning) your initial infrastructure.
- arrow_right Highly variable workloads: applications with unpredictable spikes that need real auto-scaling. Viral marketing campaigns, streaming platforms with live events, or batch processing systems.
- arrow_right Global presence: you need to deploy infrastructure in multiple world regions (Europe, Americas, Asia) simultaneously. Replicating this with colocation requires contracts at multiple datacenters.
- arrow_right Rapid experimentation: development, testing, proof-of-concept and lab environments that are constantly created and destroyed. Cloud is perfect for ephemeral infrastructure.
EasyDataHost: Colocation and Cloud Under One Roof
One of the great advantages of working with EasyDataHost is that we offer both models in the same data centre. Our colocation service at Data4 Madrid lets you house your own hardware with carrier-neutral connectivity through our AS205081 network, while our Cloud IaaS platform gives you cloud flexibility with data always in Spain.
This enables a true hybrid model: your core infrastructure in colocation (databases, ERP, critical systems) connected at low latency to your cloud infrastructure (frontend auto-scaling, development environments, disaster recovery). One invoice, one provider, zero interconnection complexity.
In addition, we complement both services with managed Veeam backup, 24/7 monitoring and specialist technical support. Whether you choose colocation, cloud or a combination of both, EasyDataHost handles the operations so you can focus on your business.
Conclusion
Colocation and public cloud are not opposing models: they are complementary. The right decision depends on your workload profile, compliance requirements, time horizon and data volumes. The key takeaways from this article:
- arrow_right Colocation for stable workloads, strict compliance, hardware control and long-term TCO optimisation.
- arrow_right Public cloud for startups, variable workloads, global presence and access to managed services.
- arrow_right Hybrid model for most mid-sized and large businesses that need the best of both worlds.
- arrow_right Colocation TCO is lower than cloud from 18-24 months onwards for stable workloads.
- arrow_right Cloud egress fees are a hidden cost that can inflate your bill if you handle large outbound data volumes.
At EasyDataHost we help you design the infrastructure architecture that best suits your business. Contact our team for a no-obligation consultation and we will find the optimal combination of colocation and cloud for your case.