Why “It Depends”

The three hyperscalers have converged. All offer capable compute, storage, databases, Kubernetes, serverless services, and AI tools. The choice is therefore rarely about one missing feature; it is about fit across five dimensions:

• Existing estate and licences: What you already operate and pay for.
• Workload type: A data platform, customer application, and legacy ERP have different ideal environments.
• Data residency and compliance: Where data must reside and how it must be controlled.
• Skills and partner ecosystem: What your internal team and implementation partner can operate effectively.
• Commercial terms: Committed-use discounts, existing agreements, and INR billing.

India-Specific Factors That Influence the Decision

Data Residency and the DPDP Act

India’s Digital Personal Data Protection (DPDP) Act and sector-specific regulations influence where personal and regulated data can be stored and processed. For financial services, applicable RBI requirements may also affect data-location decisions.

Confirm each workload’s residency requirements first, then evaluate whether each provider offers the necessary in-country regions and security controls, including encryption, key management, and access logging.

In-Country Regions and Disaster Recovery

All three cloud providers operate regions in India, but their geographical coverage differs. This can affect your ability to design disaster recovery across two separate in-country regions.

• AWS: Asia Pacific (Mumbai) and Asia Pacific (Hyderabad).
• Microsoft Azure: Central India (Pune), West India (Mumbai), and South India (Chennai), along with operator-partnered regions.
• Google Cloud: Mumbai and Delhi NCR.

Always verify current region, service, and paired-region availability in the provider’s documentation. If disaster recovery across two Indian regions is mandatory, regional availability can become the deciding factor.

Local Support, Partners, and Talent

Consider the depth of the local partner ecosystem and the availability of certified engineers for each platform in India. Both directly affect hiring, support quality, and delivery speed. AWS and Azure have very large footprints in India, while Google Cloud’s ecosystem continues to grow.

Commercial Terms and INR Billing

Review INR billing, local invoicing, GST handling, and committed-use or reserved-capacity discounts for steady workloads. Existing enterprise agreements, particularly Microsoft agreements, can materially change the total cost.

AWS, Azure, and Google Cloud: Key Strengths

Amazon Web Services (AWS)

Strengths: A broad and mature service catalogue, supported by a large partner and talent ecosystem.

Best fit: Enterprises seeking maximum service breadth and a deep talent pool without being strongly tied to another vendor’s technology stack.

Microsoft Azure

Strengths: Native integration with Windows, Microsoft Entra ID, SQL Server, and Microsoft 365, along with strong hybrid tooling and enterprise-agreement benefits.

Best fit: Microsoft-centric enterprises and organisations operating hybrid environments.

Google Cloud

Strengths: A data-native heritage, including BigQuery, strong data engineering and AI/ML capabilities, and a Kubernetes-first approach.

Best fit: Data-, analytics-, and AI-first workloads. Organisations should also account for its smaller, although growing, Indian ecosystem.

AWS vs. Azure vs. Google Cloud: Head-to-Head Comparison

This comparison is directional. Confirm current services, regions, and commercial terms using official provider documentation before making a final decision.

How to Choose: A Practical Decision Framework

Evaluate the following questions for each workload:

1. Residency: Must the data remain in India or comply with specific controls? Shortlist providers with suitable in-country regions.
2. Estate fit: Does the workload depend on Microsoft technology, a particular database, or a specific analytics tool? Favour the platform that supports it most naturally.
3. Skills: Which platform can your team and implementation partner operate confidently today? Familiarity lowers execution risk.
4. Commercials: Do existing agreements or committed-use discounts change the financial case? Compare total cost rather than headline prices.
5. Disaster recovery: Do you need two in-country regions? Confirm regional and service availability for your recovery architecture.

Select the platform that performs best against the most heavily weighted criteria for that workload. Document the decision so the process remains consistent and auditable.

Choosing a Cloud Provider by Scenario

• Microsoft-heavy enterprise: Azure may be the strongest fit because of existing agreements and native integration.
• Data- or AI-first team: Google Cloud offers a data-native platform, while AWS or Azure may be preferable when proximity to the wider technology estate matters more.
• Regulated BFSI or public-sector organisation: Lead with residency, in-country disaster recovery, and compliance. Any of the three providers may work if it meets those requirements.
• Fast-scaling product company: Use the platform your engineers know best so they can deliver faster with less operational risk.
• Large, mixed technology estate: Expect a multi-cloud environment and standardise governance, identity, security, and FinOps from the beginning.

The Multi-Cloud Reality

Many large Indian enterprises eventually use multiple cloud platforms, often because of acquisitions, business-unit preferences, or different workload needs.

Multi-cloud can work effectively when it is governed through a common identity model, consistent security guardrails, centralised logging, and unified FinOps. Without these foundations, it can multiply cost and risk. The goal is not necessarily to avoid multi-cloud, but to make it deliberate.