How to Compare Cloud Providers: A Practical Guide for Business
To compare cloud providers, score them against your own workloads, not a generic feature list. The criteria that decide most choices are: regions and data residency, the managed services you need, security and compliance evidence, SLA terms, total cost including egress and support, the skills you have, and how easily you can leave. Then prove the shortlist with a pilot.
Key takeaways
- AWS, Microsoft and Google together held 63% of worldwide cloud infrastructure spending in Q2 2026 (28%, 20% and 15%, per Synergy Research Group). Most shortlists start there, but market share does not pick a provider for you.
- Write requirements first: latency, data residency, compliance, recovery targets, budget and the skills of your team.
- Compare SLAs service by service. Headline uptime is a credit formula, not a guarantee of business continuity.
- Model total cost with real usage: on-demand vs committed pricing, egress, support plans and the people needed to run it.
- Run a 4–8 week pilot on a representative workload and score it with weights agreed before anyone sees the results.
- Negotiate the exit at the start: data formats, transfer costs and the EU Data Act switching rules.
Who are the main cloud providers?
Three hyperscalers dominate. In Q2 2026, Synergy Research Group put worldwide cloud infrastructure market share at 28% for Amazon, 20% for Microsoft and 15% for Google, with Microsoft and Google growing faster than Amazon (Synergy Research Group, July 2026). The same release notes fast growth among "tier two" and GPU-focused providers driven by generative AI.
| Provider | Usually strong for | Check carefully |
|---|---|---|
| Amazon Web Services (AWS) | Broadest service catalogue, mature partner ecosystem, many Regions; a common default for SaaS and digital businesses | Cost discipline: many services and pricing options mean bills grow without active optimisation |
| Microsoft Azure | Organisations already on Microsoft 365, Entra ID, Windows Server and SQL Server; hybrid with Azure Arc; licensing benefits | Which services are available in your chosen Region; how support plans map to your incident needs |
| Google Cloud | Data analytics (BigQuery), AI/ML tooling, Kubernetes heritage, network performance | Local partner and support coverage in your country; enterprise features you rely on |
| European and regional providers | Data sovereignty, local contracts and support (for example OVHcloud in Europe) | Breadth of managed services; whether you are rebuilding things a hyperscaler would run for you |
The table describes typical patterns, not a ranking. Your shortlist depends on your workloads and constraints.
What criteria should you use to compare cloud providers?
Seven criteria cover most decisions. Weight them for your business before you look at vendors.
1. Regions, latency and data residency
Check that the provider has Regions where your users and regulators need them, and that the specific services you need run in those Regions. For Nordic organisations that usually means Stockholm or another EU Region; for Indian workloads, Mumbai or Hyderabad. Measure latency from your users' locations at the 95th and 99th percentile, not the average. AWS publishes its Region and Availability Zone map (AWS global infrastructure); Azure and Google Cloud have equivalents.
2. The managed services you will actually use
List the building blocks of your architecture: managed databases, Kubernetes, serverless, data warehouse, identity, AI services. Compare maturity and features for those, not the total number of services. A provider with 200 services is no help if its managed PostgreSQL lacks the extension you depend on.
3. Security, compliance and shared responsibility
Ask for current audit reports (ISO 27001, SOC 2, PCI DSS where relevant) and confirm which services they cover. Then map the shared responsibility model. Microsoft's guidance is explicit that, whatever the deployment type, you always keep responsibility for your data, endpoints, accounts and access management (Microsoft: shared responsibility in the cloud). AWS and Google apply the same principle. For EU organisations in NIS2 scope, the provider becomes part of your supply-chain risk management.
4. SLAs and resilience
Read the SLA for each service you will use. Amazon EC2, for example, commits to 99.99% monthly uptime at Region level, with service credits of 10%, 30% or 100% depending on how far availability falls (Amazon Compute SLA). Google and Microsoft publish their SLAs per service in the same way. Three things to check:
- Scope. Many SLAs require you to deploy across multiple Availability Zones to qualify.
- Remedy. Credits against your bill, usually capped, not compensation for lost revenue.
- Composite availability. An application using five services is less available than any one of them. Design for your own recovery targets; see RTO and RPO explained.
5. Total cost of ownership
List prices are similar across hyperscalers; your bill depends on how you buy and run. Compare:
- On-demand for spiky or experimental workloads.
- Committed pricing for a steady baseline. AWS Savings Plans advertise savings of up to 72% against on-demand (AWS Savings Plans); Azure reservations and Google committed use discounts work in a similar way.
- Spot or preemptible capacity for interruptible work, up to 90% off on AWS (EC2 Spot).
- Hidden lines: data egress, cross-zone and cross-Region traffic, NAT gateways, logging volume, premium support and backup storage.
- People: the engineers or managed service provider needed to run and secure the platform.
Licensing can swing the comparison. If you run many Windows Server or SQL Server licences, price Azure Hybrid Benefit and the equivalent bring-your-own-licence options on other clouds before deciding.
6. Skills and ecosystem
The cloud your team already knows will be cheaper to run in year one. Check the availability of local partners, certified engineers in your hiring market and support for the tools you use: Terraform, your CI/CD, your observability stack.
7. Exit and portability
Agree how you would leave before you sign: export formats, transfer costs, notice periods and help during transition. In the EU, the Data Act, which applies from 12 September 2025, sets a framework for customers to switch between providers of data-processing services (European Commission: Data Act). Infrastructure as code and containers also reduce the cost of moving later.
How to run a cloud provider comparison step by step
- Write a one-page requirements brief: workloads, users and locations, compliance scope, RTO/RPO, budget, team skills, timeline.
- Shortlist two or three providers that meet the hard requirements (Region, compliance, a must-have service).
- Agree weights for the seven criteria with IT, security, finance and the business owner, before any scoring.
- Pick a pilot workload: representative but not business-critical, such as a staging environment or a data pipeline.
- Set pass criteria up front, for example p95 latency, error rate, recovery time in a failover test and monthly cost.
- Run the pilot for 4–8 weeks so you see weekly patterns and at least one full billing cycle.
- Score, negotiate and plan migration waves, including support, commitments, exit terms and training.
Decision matrix template
Score each provider 1–10 per criterion, multiply by the weight and add up. The weights below are an example for a regulated mid-sized company; change them to fit yours.
| Criterion | Example weight | Provider A score | Provider B score | Provider C score |
|---|---|---|---|---|
| Regions and data residency | 15% | |||
| Managed services fit | 15% | |||
| Security and compliance evidence | 20% | |||
| SLA and resilience | 10% | |||
| Three-year total cost | 20% | |||
| Skills and partner ecosystem | 10% | |||
| Exit and portability | 10% | |||
| Weighted total | 100% |
Checklist before you sign
- SLAs for every service in the architecture, with the conditions for credits.
- Audit reports and data processing agreement covering your Regions and services.
- Written data residency commitments, including where support staff can access data from.
- Support plan with response times that match your own incident targets.
- Commitment terms that fit your baseline, with room for growth.
- Exit plan: data export, transfer charges, assistance and timelines.
Single cloud or multi-cloud?
For most mid-sized organisations, one primary cloud plus SaaS is simpler and cheaper to run well. Multi-cloud makes sense when there is a clear reason: a Microsoft-heavy estate alongside an AWS-native product, a specific analytics or AI service, or a regulator asking for an exit strategy you can execute. Running two clouds doubles the security baseline, monitoring and skills you need to maintain.
Example: from one data centre to a multi-AZ AWS setup
ET Network hosted its infrastructure from a single data centre with too little redundancy for a growing customer base. The business needed high security, high availability, scalability and speed to market, and these were becoming hard to achieve with in-house resources alone. Opsio designed and built a cloud-native, multi-AZ architecture on AWS with automated provisioning, working from architecture through deployment and testing, so the in-house team could keep evolving it.
How Opsio helps
Opsio is an AWS Advanced Tier Services Partner and also runs Azure and Google Cloud managed services, so comparisons come from running all three in production. Our cloud consultancy team runs requirements workshops, pilots and TCO models; the migration team then plans the move in waves. For India-specific residency and latency questions, see choosing a cloud provider in India.
Frequently asked questions
Which cloud provider is best for a small or mid-sized business?
The one that fits your existing tools and skills. Microsoft-centric companies often find Azure easiest; product companies building on open-source stacks often pick AWS; data-heavy teams look closely at Google Cloud. Use the criteria above rather than market share.
Is AWS cheaper than Azure or Google Cloud?
Not in general. Unit prices are close, and the bill depends on architecture, commitment discounts, licensing and egress. Model your own workload on each provider's pricing calculator before drawing conclusions.
What is the most important factor when choosing a cloud provider?
For regulated EU and Indian organisations it is usually data residency and compliance evidence, because they rule providers in or out. After that, total cost and the skills to run the platform matter most.
How long should a cloud provider evaluation take?
Four to eight weeks of piloting after a short requirements phase is typical. That captures weekly traffic patterns and a full billing cycle without stalling the project.
Can we switch cloud providers later?
Yes, but it costs time and money. Infrastructure as code, containers and avoiding provider-specific services where they bring little value keep the option open. In the EU, the Data Act adds rules on switching between providers.
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About the Author
Editorial standards: This article was written by a certified practitioner, named in the byline above. We revise it when the technology or regulation it covers changes; the dates above show the latest update. Opsio maintains editorial independence — we recommend solutions on technical merit, not commercial relationships.
