The Short Answer for Most Indian Startups
Start with AWS. It has the largest India presence, the most mature ecosystem, the deepest talent pool, and the best startup credit programme. Move to GCP if you're building AI/ML products heavily. Consider Azure primarily if you're in enterprise sales and your customers are Microsoft shops.
The longer answer depends on what you're building — here's the full breakdown.
India Data Center Presence
AWS: Has two regions in India — Mumbai (ap-south-1) and Hyderabad (ap-south-2). Mumbai is the primary region, one of AWS's busiest globally. Excellent connectivity across India.
GCP: Has one region in India — Mumbai (asia-south1). A second region (Delhi) has been announced but timeline is uncertain. GCP also has a region in Singapore that Indian startups sometimes use as an alternative.
Azure: Has two regions in India — Central (Pune) and South (Chennai). Also has a West region (Mumbai). Good India presence, particularly relevant for enterprise customers already using Microsoft products.
For data residency compliance (required for certain regulated industries like healthcare and finance), all three have Indian data centers. AWS's Mumbai region has the most established compliance certifications.
Startup Credit Programmes
AWS Activate: Up to $100,000 in credits for early-stage startups (through accelerators or VC firms). Foundry programme for very early startups gives $1,000. Credits valid for 2 years.
Google for Startups: Up to $200,000 in GCP credits for eligible startups (typically through accelerators). Credits valid for 2 years. Also includes Google Workspace and Maps credits.
Microsoft for Startups (Founders Hub): Up to $150,000 in Azure credits, plus GitHub Enterprise, Visual Studio, and other Microsoft tool credits. Founders Hub is the easiest to access — direct application without requiring an accelerator connection.
If startup credits are a deciding factor, GCP currently offers the largest headline amount, and Azure's Founders Hub is easiest to access quickly.
Cost Comparison (Rough Estimates for a Typical Startup Stack)
A standard startup stack — 2 application servers, a database, a load balancer, storage, and bandwidth — runs approximately:
- AWS (Mumbai): $300–500/month
- GCP (Mumbai): $250–450/month (slightly cheaper on compute)
- Azure (Pune/Chennai): $280–480/month
The differences are not dramatic for small workloads. At scale, pricing gets complex enough that a proper cost analysis specific to your architecture is needed before making decisions based on price alone.
Developer Ecosystem and Talent
AWS has by far the largest talent pool in India. Finding an AWS-certified developer or DevOps engineer in Bangalore, Mumbai, or Hyderabad is straightforward. GCP and Azure certification holders are rarer — relevant if you're hiring infrastructure engineers.
For the application developer perspective, all three clouds have mature SDKs and documentation. The day-to-day developer experience is similar. The difference shows up in infrastructure configuration, where AWS's years of iteration have produced more polished tooling for common patterns.
When Each Cloud Makes the Most Sense
Choose AWS when:
- You're building a standard web application, SaaS, or mobile backend
- You value ecosystem breadth — if a service exists, AWS has it
- Your team has AWS experience or you're hiring DevOps engineers
- You need the most mature serverless platform (Lambda)
Choose GCP when:
- Your product involves significant ML/AI workloads — GCP's AI infrastructure (TPUs, Vertex AI, BigQuery ML) is genuinely ahead
- You're doing large-scale data analytics — BigQuery is the best managed data warehouse
- You're accepted into Google's startup programme and want to maximise those credits
Choose Azure when:
- Your primary customers are enterprises running Microsoft infrastructure
- You're building on .NET or heavily using Microsoft development tools
- You need Active Directory integration for enterprise authentication
- You want the easiest path to startup credits (Founders Hub)
Our Take at Dharmsy
We deploy most of our client projects on AWS (Mumbai region), with Vercel for Next.js frontends that don't need custom infrastructure. AWS gives us the combination of reliability, service breadth, and operational familiarity that we need to move fast without infrastructure becoming the problem. For AI-heavy projects, we use GCP's AI services alongside AWS for the application infrastructure.
If you're deciding on cloud infrastructure for a new product and want a second opinion on what makes sense for your architecture, we're happy to have that conversation.