AWS, Azure, and Google Cloud (GCP) are the three hyperscale clouds available to Indian businesses. All three have Indian data centres. The "right" choice depends on your existing stack, workload type, and enterprise/SMB context. Here is a 2026 comparison focused on real Indian deployment decisions.
Three reasons: (1) Most Indian developers learn AWS first — the talent pool is largest, (2) AWS's startup credit program (AWS Activate) gives $5,000-
For enterprises already heavily invested in Microsoft 365, Windows Server, and Active Directory — yes, Azure has clear advantages: unified billing with Microsoft enterprise agreement, Azure AD as the natural extension of on-premise AD, and tight integration with Power BI, Dynamics, and Microsoft 365. For greenfield deployments without Microsoft legacy, AWS is often simpler.
GCP wins for data-heavy and ML-heavy workloads: BigQuery is genuinely best-in-class for analytics, Vertex AI is competitive for ML training. GCP also has cleaner Kubernetes (GKE is the original), often cheaper compute for sustained-use workloads, and Looker for BI. For data engineering and ML teams, GCP is a strong choice.
For very small workloads (a single small VM, < 1 GB database, < 5 GB storage), yes — AWS free tier covers t2.micro, 5 GB S3, and 750 hours of compute for 12 months. Azure and GCP have similar offerings. Once you have real traffic and data, you will move to paid usage typically ₹5,000-50,000/month for a small production setup.
For AWS and GCP, buy through an authorised partner in India who bills in INR with GST. AWS has many AWS Partner Network (APN) members in India; GCP has authorised resellers. For Azure, buy through a Cloud Solution Provider (CSP) like Microsoft authorised reseller — they bill in INR with GST. Direct purchases bill in USD with no Indian GST.
Picking the right cloud for India? Free workload assessment and partner sourcing across AWS, Azure, GCP.