Public Cloud vs Hybrid Cloud: Which Should I Choose?

What Is the Public Cloud?

The public cloud is compute, storage and networking infrastructure provided by an external provider and shared among multiple customers (multi-tenant). The three major hyperscalers are AWS (Amazon Web Services), Microsoft Azure and Google Cloud Platform (GCP), although European and regional alternatives are gaining traction.

The economic model is based on pay-as-you-go: you pay for the compute hours, gigabytes of storage and network traffic consumed. The promise is attractive because it eliminates upfront hardware investment and allows near-unlimited resource scaling. However, this flexibility comes with nuances that are worth understanding before committing.

The shared responsibility model means the provider manages physical infrastructure, virtualisation and networking, while the customer is responsible for security configuration, data, applications and access control. A misconfigured S3 bucket or an overly permissive security group can expose sensitive data, regardless of how robust the provider is.

• check_circle Unlimited scalability: provision resources in minutes, scale globally.
• check_circle Pay-as-you-go: no upfront investment, pure OpEx model.
• check_circle Managed services: databases, AI/ML, serverless, CDN built in.
• warning Vendor lock-in: dependency on provider-specific APIs, services and proprietary formats.
• warning Variable costs: hard to predict, can spike with data traffic (egress fees).

What Is the Private Cloud?

The private cloud is cloud infrastructure dedicated exclusively to a single organisation. It can be hosted in an on-premise data centre, at a colocation provider, or managed by a Cloud IaaS provider that reserves dedicated resources for the customer.

The key differentiator is total control. The customer decides the hardware, network topology, security policies, physical data location and hypervisor configuration. There is no multi-tenancy: resources are not shared with other customers, which eliminates noisy neighbour risk and reduces the attack surface.

Performance is predictable and consistent because there is no resource contention. Disk IOPS, network latency and CPU capacity are guaranteed. This is fundamental for workloads such as transactional databases, ERP systems or financial applications that require deterministic latency.

The trade-off is a higher upfront investment and the need to correctly size capacity. Unlike the public cloud, where you can add a server in minutes, expanding a private cloud requires planning, hardware procurement and deployment, which can take weeks. This is why it is the preferred model for stable, predictable workloads over the long term.

What Is the Hybrid Cloud?

The hybrid cloud combines public cloud infrastructure with private cloud (or on-premise), connected so that workloads can move or be distributed between both environments. It is not simply about having resources in two places, but about them functioning as an integrated system with unified orchestration, connectivity and policies.

A classic example is burst to cloud: the company runs its stable workloads on private infrastructure and, when demand spikes occur (Black Friday, fiscal year-end, marketing campaigns), automatically overflows to the public cloud to absorb excess traffic. When the spike passes, the public resources are released and you stop paying for them.

Another common pattern is keeping sensitive data on private infrastructure (on-premise or colocation) to comply with data sovereignty regulations, GDPR or industry-specific requirements, while less critical services such as public-facing web applications, development environments or data analytics run on public cloud for cost and convenience.

Comparison Table: Public vs Private vs Hybrid

The following table summarises the key differences between the three models across the aspects that matter most when designing your cloud strategy:

When to Choose Public Cloud

The public cloud is the ideal choice when deployment speed, global scalability and access to advanced managed services take priority over control and cost predictability. These are the scenarios where public cloud delivers the most value:

• arrow_right Startups and MVPs: you need immediate infrastructure without upfront investment. Launch, validate the product and scale only if the business requires it. Initial cost is minimal.
• arrow_right Development and testing environments: create and destroy complete environments on demand. Pay only for actual usage hours, not for servers running 24/7.
• arrow_right Global SaaS applications: you need presence in multiple geographic regions with low latency for users distributed around the world.
• arrow_right Stateless applications: microservices, serverless functions and containers that scale horizontally without dependency on local state.
• arrow_right Machine learning and AI: projects requiring on-demand GPUs for model training without investing in permanent specialised hardware.

When to Choose Hybrid Cloud

Hybrid cloud is the preferred choice for businesses that need to combine the control and security of private infrastructure with the flexibility of public cloud. It is the dominant model in regulated industries and in organisations with mixed workloads. These are the scenarios where hybrid wins:

• arrow_right Financial sector: banking, insurance and fintech that must comply with PCI-DSS, DORA and data sovereignty regulations. Critical data stays on private infrastructure; auxiliary services run on public cloud.
• arrow_right Healthcare and pharmaceuticals: clinical records, patient data and research requiring healthcare GDPR compliance and physical data location within the territory.
• arrow_right Public administration: government bodies requiring ENS Alto certification, sovereign data within national territory and physical infrastructure isolation.
• arrow_right Predictable workloads with peaks: a stable compute base (ERP, database, backend) on private, with burst capacity to public cloud for campaigns, month-end closings or high-traffic events.
• arrow_right Data sovereignty: companies that need to guarantee certain data never leaves a specific jurisdiction, while leveraging public cloud for everything else.

Hybrid Connectivity: the Missing Piece

A hybrid architecture is only as good as the connectivity linking its components. If communication between your private cloud and the public cloud runs over the public internet, you are adding unpredictable latency, security risks and a performance bottleneck. Direct, private interconnection is essential.

Services like Megaport (NaaS) enable private, dedicated connections between your datacenter infrastructure and any hyperscaler (AWS Direct Connect, Azure ExpressRoute, Google Cloud Interconnect) with sub-millisecond latency and guaranteed bandwidth. Provisioning is done on demand through a portal, in minutes, without needing long-term contracts with telecom carriers.

This direct interconnection delivers three critical advantages: predictable latency (essential for database replication and API calls between environments), security (traffic does not travel over the public internet) and egress fee savings (data exit costs from hyperscalers are significantly reduced with direct interconnection compared to public traffic).

EasyDataHost as a Hybrid Provider

One of EasyDataHost's competitive advantages is that we offer all the building blocks needed for a hybrid strategy under one roof, with data hosted in Spain and no dependency on a single hyperscaler.

• cloud Cloud IaaS: Proxmox platform with Dell PowerEdge R770 and CEPH NVMe storage with triple replication. Your managed private cloud with enterprise performance.
• home Colocation: if you prefer your own hardware, we host your equipment in our Tier III+ datacenter with carrier-neutral connectivity and redundant power.
• cloud Cloud VPS: virtual servers with dedicated resources from EUR 5/month for development, staging or lightweight applications.
• lan NaaS / Megaport: direct interconnection with AWS, Azure, GCP and other providers. Sub-millisecond latency, on-demand provisioning.

The result is a hybrid architecture where your core workload runs on private infrastructure with predictable performance and data in Spanish territory, directly connected to any public cloud to absorb peaks or access hyperscaler-specific services. No vendor lock-in, data sovereignty guaranteed and a single invoice for the private component.

Conclusion

The choice between public cloud and hybrid cloud is not an isolated technical decision: it affects costs, security, compliance and your organisation's agility. There is no universal model, but there are clear criteria for choosing. The key takeaways from this article are:

• arrow_right Public cloud for startups, dev/test, global SaaS, stateless applications and projects with unpredictable demand.
• arrow_right Hybrid cloud for regulated industries, sovereign data, stable workloads with peaks, and businesses seeking to balance control, cost and flexibility.
• arrow_right Direct connectivity between clouds (Megaport, private interconnection) is the key piece that makes a real hybrid strategy viable.
• arrow_right Avoid vendor lock-in: use open technologies on the private side so you can migrate or redistribute workloads without dependency.
• arrow_right Work with a provider that offers Cloud IaaS + Colocation + NaaS to implement a real hybrid strategy without managing multiple contracts.

At EasyDataHost we help you design the cloud architecture that best suits your business. Contact our team for a no-obligation consultation and we will find the perfect balance between public and private cloud for your case.