Why Azure dominates in the DR (and why that doesn't mean it's the best option)
Azure's entry point in Dominican companies is almost always the same: the company already has Microsoft 365, the IT team knows Active Directory and Windows Server, and Microsoft has local commercial presence with certified partners. When it's time to move to the cloud, Azure appears as the natural extension of the existing stack.
That logic is valid for specific workloads: if you have Active Directory, SQL Server Enterprise with existing licenses, or .NET applications tightly coupled to the Windows ecosystem, Azure can be the most economical option through Azure Hybrid Benefit (reusing on-premise licenses in the cloud). But for most modern workloads — containers, open source databases, APIs, web applications — that advantage disappears and Azure competes at a pricing and service maturity disadvantage against AWS and GCP.
Price comparison: base infrastructure
Reference prices are for regions closest to the Dominican Republic (us-east-1 on AWS, East US on Azure, us-east1 on GCP). Latency from Santo Domingo to these regions is 25-45ms — perfectly acceptable for business applications.
- General compute instance (2 vCPU, 8GB RAM): AWS t3.large $0.0832/hr (~$60/mo), Azure D2s_v3 $0.096/hr (~$69/mo), GCP e2-standard-2 $0.067/hr (~$48/mo). GCP is 20-30% cheaper for pure compute.
- Memory-optimized instance (4 vCPU, 32GB RAM): AWS r6i.xlarge $0.252/hr (~$182/mo), Azure E4s_v5 $0.252/hr (~$182/mo), GCP n2-highmem-4 $0.237/hr (~$171/mo). These converge — GCP still slightly cheaper.
- Managed PostgreSQL database (2 vCPU, 7.5GB): AWS RDS db.t3.medium $0.068/hr (~$49/mo), Azure Database for PostgreSQL Flexible $0.087/hr (~$63/mo), GCP Cloud SQL db-n1-standard-2 $0.111/hr (~$80/mo). AWS wins clearly on managed databases.
- Managed SSD storage (100GB): AWS EBS gp3 ~$8/mo, Azure Premium SSD P10 ~$19/mo, GCP Persistent Disk SSD ~$17/mo. AWS is significantly cheaper on storage.
- Data egress (100GB/mo): AWS $9, Azure $8.70, GCP $8.50. Similar across all three — this cost scales with volume and is the hardest to predict.
Cost conclusion: GCP wins on pure compute, AWS wins on managed databases and storage, Azure is most expensive in most categories without Microsoft licensing advantages. For mixed workloads without legacy licenses, AWS or GCP are 15-35% cheaper than Azure.
Managed services comparison: where the difference really matters
- Managed Kubernetes: AWS EKS, Azure AKS, and GCP GKE are all competitive. GKE has a historical advantage (Kubernetes was born at Google) and Autopilot is the most operationally simple mode. EKS has the broadest add-on ecosystem. AKS has improved but still has more friction in upgrades and networking.
- Serverless / functions: AWS Lambda remains the industry standard in maturity and ecosystem. GCP Cloud Run is technically superior for serverless containers. Azure Functions works well in the .NET ecosystem but has slower cold starts and fewer runtime options.
- Managed databases: AWS has the broadest catalog (RDS, Aurora, DynamoDB, ElastiCache, Redshift). GCP has unmatched BigQuery for analytics. Azure SQL Managed Instance is excellent if you come from SQL Server, but the rest of the data portfolio is weaker.
- ML and AI: GCP leads clearly with Vertex AI, TPUs, and Google model integration. AWS SageMaker is second most mature. Azure has advantage through OpenAI integration, but the rest of the ML stack is less cohesive.
When each cloud makes sense for a Dominican company
- AWS: first choice for most new projects without Microsoft history. Greatest service maturity, better pricing on databases and storage, broadest tool and partner ecosystem. Recommended for startups, web/mobile applications, APIs, microservices.
- Azure: makes sense when the company has significant investment in Microsoft licenses (SQL Server Enterprise, Windows Server Datacenter, Office 365 E3+) and can leverage Azure Hybrid Benefit. Also when compliance requirements mandate Microsoft (certain government contracts or local financial regulations referencing specific Microsoft products).
- GCP: clear advantage when requirements include analytics at scale (BigQuery), machine learning, or Google workspace integration. Also competitive for pure compute on predictable workloads due to automatic sustained use discounts.
Migrating from Azure to AWS or GCP: what it technically involves
- Low coupling (Linux VMs, PostgreSQL/MySQL databases, containers on AKS): relatively straightforward migration. VMs are rebuilt in the destination cloud, databases migrated via dump/restore or replication, containers run identically on EKS or GKE.
- Medium coupling (Azure Active Directory as IdP, Azure DevOps for CI/CD, Azure Storage): requires planning identity migration (AAD → AWS IAM Identity Center or Okta), replacing pipelines (Azure DevOps → GitHub Actions or AWS CodePipeline), and migrating blob data to S3 or GCS.
- High coupling (SQL Server Managed Instance, Azure Service Bus, Azure Logic Apps, functions with Azure-specific bindings): significantly more costly migration. Each proprietary service needs an equivalent and rewrite effort can be considerable. In these cases, evaluate whether migration cost exceeds projected savings.
bash
# Assess Azure proprietary service dependencies before migrating
# List all resources in a subscription
az resource list --output table | grep -v "Microsoft.Compute\|Microsoft.Network\|Microsoft.Storage"
# Resources that are NOT basic compute/network/storage
# are candidates for proprietary coupling — each requires
# an equivalent in the destination cloud or a rewriteThe real calculation: is migrating from Azure worth it?
- 1Calculate current monthly Azure cost (real bills, not estimates).
- 2Estimate equivalent cost on AWS/GCP for the same workloads (AWS Pricing Calculator, GCP Pricing Calculator).
- 3Calculate projected monthly savings.
- 4Estimate migration project cost based on coupling level.
- 5Divide migration cost by monthly savings = months to breakeven.
For a mid-size company in the DR with an Azure bill of USD$1,500-3,000/month and low proprietary coupling, typical savings on AWS are 20-30% (USD$300-900/month). With a migration project costing RD$600K-1.2M, breakeven is between 12 and 24 months — after that, the savings are recurring indefinitely.
If your company has an active Azure contract with Microsoft, review the terms before migrating. Some companies have minimum consumption commitments (Azure Consumption Commitments) that generate penalties for reducing usage before the contract expires.
Frequently Asked Questions
Can I use multiple clouds simultaneously (multi-cloud)?
Technically yes, and some large companies do. For most Dominican companies it's unnecessary complexity: you duplicate the team's learning curve, complicate inter-cloud networking, and increase egress costs. The most pragmatic strategy is to choose one primary cloud and use specific services from others only when they have a clear advantage (e.g., GCP BigQuery for analytics while everything else runs on AWS).
Does Azure Hybrid Benefit really justify staying on Azure?
Only if you have SQL Server Enterprise or Windows Server Datacenter licenses with active Software Assurance. In that case, the savings can be 40-50% on those specific VMs. If your workloads are primarily Linux and open source databases (PostgreSQL, MySQL, Redis), Hybrid Benefit doesn't apply and Azure loses its cost advantage.
How hard is it to operate AWS or GCP if the team only knows Azure?
The real learning curve is 4-8 weeks for an engineer with Azure experience. The concepts are the same (VMs, networking, IAM, storage, managed databases) — the terminology and consoles are different. AWS has the greatest availability of documentation and courses. The most pragmatic option for companies without training time is to work with an external technical team to operate infrastructure during the transition.
How do I know how much I'm overpaying on Azure?
The first step is reviewing Azure Cost Management + Billing and filtering by service. The most frequently elevated costs are: oversized VMs running 24/7 with low actual usage, Premium SSD disks assigned to VMs that don't need them, unused public IP addresses, and accumulated old snapshots. A 2-3 hour cost review typically finds 15-25% waste in mid-size Azure accounts.
Is there a risk that AWS or GCP will leave the Latin American market?
Both AWS and GCP have been investing heavily in Latin American infrastructure — AWS opened a region in São Paulo in 2011 and has since added regions in Santiago and Bogotá. GCP has a region in Santiago and São Paulo. Both have multi-year commitments to the region. The risk of abandonment is extremely low and comparable to Azure, which also operates its Latin American infrastructure from Brazil and the US.
Is your company evaluating migrating from Azure to AWS or GCP, or do you want to know how much you could save with a more efficient cloud architecture? We do the technical and cost assessment with real numbers from your current infrastructure.
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