Choosing a cloud provider is one of the most consequential infrastructure decisions a business makes. AWS, Azure and GCP each have distinct strengths — and the right choice depends on your workload, existing tooling and long-term strategy.
1 AWS: Market Leader with the Deepest Service Catalogue
Amazon Web Services remains the most widely adopted cloud platform globally. With 200+ managed services, the largest partner ecosystem and the most mature FinOps tooling, AWS is the default choice for greenfield deployments without strong Microsoft or Google dependencies. EC2, S3, RDS and Lambda are battle-tested at massive scale. The primary drawback: complexity. AWS's breadth can overwhelm teams without dedicated cloud architects, and pricing is notoriously opaque.
2 Azure: The Enterprise and Hybrid Choice
Microsoft Azure wins when your organisation is already invested in the Microsoft ecosystem — Active Directory, Microsoft 365, Visual Studio and Windows workloads. Azure AD (Entra ID) integration is unmatched, making it the natural choice for enterprises with complex identity requirements. Azure Hybrid Benefit and on-premises connectivity via ExpressRoute give Azure an edge for organisations that need to bridge data centres with the cloud. For Indian enterprises running SAP, Dynamics or heavy .NET stacks, Azure is typically the lowest-friction path.
3 GCP: The Data and ML Powerhouse
Google Cloud Platform is the strongest choice for data analytics, machine learning and Kubernetes-native workloads. BigQuery is arguably the best cloud data warehouse available, and Vertex AI gives GCP an edge for organisations building ML pipelines. Kubernetes — invented at Google — runs most naturally on GKE. GCP's global fibre network delivers exceptional latency for latency-sensitive applications. The tradeoff: smaller ecosystem, fewer managed services compared to AWS, and GCP has historically had an enterprise sales gap in India.
4 Multi-Cloud and the Indian Context
For Indian enterprises, compliance with data localisation requirements under DPDP Act 2023 and RBI guidelines is increasingly driving cloud decisions. All three providers have data centres in Mumbai and Chennai. AWS's Mumbai region is the most mature, with the widest service availability. Azure's India Central and South regions are strong for enterprise workloads. GCP has Mumbai and Delhi NCR availability zones. Many enterprises are adopting a multi-cloud stance — primary on AWS or Azure, with GCP for analytics and ML workloads.
5 Our Recommendation
For most Indian enterprises starting fresh: AWS for breadth and ecosystem maturity. If you're M365-heavy or have significant on-premises Windows workloads: Azure. If your core differentiation is data or ML: GCP. For complex enterprise scenarios, a hybrid approach with primary on AWS/Azure and GCP for analytics is increasingly common. Regardless of provider, ensure you have FinOps governance from day one — cloud bills grow faster than expected.