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Microsoft Azure vs Google Cloud (GCP):which should you choose?
Microsoft’s enterprise cloud versus Google’s data-and-Kubernetes cloud, for Indian companies that are not AWS-first.
| Microsoft Azure | Google Cloud (GCP) | |
|---|---|---|
| Indian regions | Pune, Chennai, Mumbai. | Mumbai, Delhi NCR. |
| Strengths | M365/AD/identity, hybrid, Windows licensing, enterprise sales and partners. | BigQuery, Vertex AI, GKE, clean networking, simpler pricing. |
| Data & AI | Fabric, Synapse, Azure OpenAI (GPT models), Databricks. | BigQuery, Vertex AI, Gemini models; strongest analytics ergonomics. |
| Enterprise fit | Very strong in BFSI, government, manufacturing. | Strong in digital-native, media, retail analytics. |
| Weak spots | Portal sprawl; cost of premium services; outages make headlines. | Smaller ecosystem; fewer enterprise integrations. |
| Best fit | Microsoft-centric enterprises; hybrid. | Data/ML products; Kubernetes-first startups. |
Choose Microsoft Azure if…
- Identity and M365 are the backbone of your company
- You want Azure OpenAI with enterprise contracts
- You need hybrid/Arc with on-prem Windows
Choose Google Cloud if…
- Analytics/ML is the product
- You run everything in Kubernetes
- You prefer simpler billing and networking
Our verdict
What we tell clients
Azure for Microsoft-centric enterprises, GCP for data-first products — the overlap is small enough that the decision is usually obvious once you list your top three workloads. Keep identity (Entra ID) on Azure even if compute lives elsewhere.
Written by engineers who run both in production. No vendor paid for this page.
FAQ
Questions we get on calls
Can I use Azure AD with GCP?
Yes — federate Entra ID to Google Cloud Identity; common in mixed estates.
Which is better for Indian government work?
Both are MeitY empanelled; Azure has deeper partner presence in PSU/government projects.
Which AI platform?
Azure OpenAI for GPT-family models under enterprise terms; Vertex AI for Gemini and open models with strong MLOps tooling.
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