Technology

Cloud Migration for Indian Businesses: AWS vs Azure vs GCP in 2025

Intment Technologies · Cloud Team18 November 20249 min read

Moving to the cloud is no longer a question of if for Indian businesses — it's a question of when and which cloud. AWS, Azure, and Google Cloud all have Indian data centres and growing Indian customer bases. Here's how to choose.

Overview of Each Cloud Platform

AWS (Amazon Web Services)

  • **Indian regions**: Mumbai (ap-south-1) and Hyderabad (ap-south-2)
  • **Market share in India**: ~38% (largest)
  • **Strengths**: Widest service catalogue, largest partner ecosystem, most mature in India
  • **Best for**: General web applications, e-commerce, startups, data analytics
  • Microsoft Azure

  • **Indian regions**: Pune, Chennai, Mumbai
  • **Market share in India**: ~32%
  • **Strengths**: Deep Microsoft ecosystem integration, strong enterprise sales support, Teams/Office 365 integration
  • **Best for**: Enterprises already on Microsoft stack (Windows, SQL Server, Active Directory)
  • Google Cloud Platform (GCP)

  • **Indian regions**: Mumbai, Delhi
  • **Market share in India**: ~12%
  • **Strengths**: Best AI/ML tools (Vertex AI, BigQuery, Gemini), competitive pricing
  • **Best for**: Data analytics, AI/ML workloads, media streaming
  • Cost Comparison (Approximate, 2025)

    For a typical web application (2 vCPU / 8GB RAM web server + managed database + 100GB storage + CDN):

    | Cloud | Monthly Cost (est.) |

    |-------|---------------------|

    | AWS | ₹12,000–18,000 |

    | Azure | ₹13,000–19,000 |

    | GCP | ₹10,000–16,000 |

    GCP tends to be 10–15% cheaper for compute. AWS often wins on managed service pricing for specific services.

    Data Residency and Compliance

    Indian businesses handling sensitive data (healthcare, BFSI, government) need to ensure data stays in India. All three clouds offer Indian regions, but configuration matters — ensure your storage, databases, and backups are all in Indian regions.

    For BFSI (banking, financial services), RBI has specific data localisation requirements. AWS and Azure have explicit compliance programs for this.

    Our Recommendation by Use Case

    | Use Case | Recommended Cloud |

    |----------|-------------------|

    | General web/mobile app | AWS |

    | Microsoft enterprise stack | Azure |

    | AI/ML / Data analytics | GCP |

    | Healthcare (ABDM) | AWS or Azure |

    | BFSI compliance | Azure (RBI compliance program) |

    | Startup / cost-sensitive | GCP |

    Cloud Migration Strategy

    Regardless of which cloud you choose, follow these migration patterns in order of risk:

  • **Rehost (Lift & Shift)** — Move VMs as-is. Fast, minimal disruption, but doesn't leverage cloud-native benefits.
  • **Replatform** — Migrate to managed services (e.g., RDS instead of self-managed MySQL). Moderate effort, significant operational benefit.
  • **Re-architect** — Rebuild for cloud-native (containers, serverless, managed services). Most effort, maximum benefit.
  • Start with Rehost for quick wins, then gradually move to Replatform and Re-architect over 12–18 months.

    Final Thoughts

    There's no universally "best" cloud for Indian businesses. The right choice depends on your existing technology stack, team expertise, workload characteristics, and budget.

    What matters more than the cloud you choose is how well you architect and operate on that cloud. A well-managed Azure deployment will outperform a poorly architected AWS setup, and vice versa.

    #Cloud#AWS#Azure#GCP#Cloud Migration#India

    Written by

    IT
    Intment Technologies
    Cloud Team

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