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When to Choose GCP Over AWS or Azure, a Decision Framework

In this article

• Quick Answer
• Key Takeaways
• Understanding the Core Differences Between GCP, AWS and Azure
• Strategic Evaluation Framework for Choosing the Right Cloud Platform
• Why Choose Google Cloud Platform, Key Advantages Over AWS and Azure
• Google Cloud Strengths and Weaknesses, a Balanced Evaluation
• When GCP Is the Better Choice, Real World Use Cases
• When AWS or Azure May Be a Better Fit
• How to Select the Ideal Cloud Provider for Your Business
• Should Companies in India Choose Google Cloud?
• Frequently Asked Questions
• Our Recommendation
• Choosing and Running Google Cloud with Unico Connect

In most GCP vs AWS vs Azure decisions, the basics do not settle it. All three are good enough at compute, storage and managed databases. What settles it is the workload that dominates your bill and the licences and skills you already have. This guide sets out when to choose Google Cloud Platform (GCP) over AWS or Azure, and when not to. We are a Google Cloud partner and reseller in Mumbai, so read it knowing where we stand. Further down, we cover what changes for buyers in India.

Understanding the Core Differences Between GCP, AWS and Azure

The platforms come from different starting points. AWS has the broadest catalogue, the longest track record and the deepest enterprise marketplace. Azure is the natural extension of the Microsoft enterprise estate and is strongest where the rest of the stack is Microsoft. GCP comes from Google, which open sourced Kubernetes in 2014 and built TensorFlow, and its strengths sit in data, AI, networking and open source.

That history still shows in what each one does best. For a neutral side by side of all three, our AWS vs Azure vs GCP comparison is the better read. What follows argues for Google Cloud and names the places where it loses.

Strategic Evaluation Framework for Choosing the Right Cloud Platform

Put each candidate cloud through these six questions.

• Workload alignment. Does your application depend heavily on AI, real time analytics, container orchestration, or a specific legacy stack?
• Team skills. Is your team strong in Linux and open source tooling, or does it live in Microsoft, AWS, or a mix?
• Integration ecosystem. Do you need deep integration with Microsoft 365, Google Workspace, Salesforce, SAP, or other major enterprise platforms?
• Cost predictability. Do you want discounts that apply automatically, or are you comfortable planning one and three year commitments?
• Scalability. Do you need global reach across many regions, or focused regional scale with strong container workflows?
• Compliance. What do data residency and sector rules require of your workload?

Do not weight them equally. Workload alignment and team skills settle most decisions, and the other four usually choose between two clouds that are otherwise close. Compliance rarely separates the three in India, because all of them run regions here. What differs is how many regions, and in which cities.

Why Choose Google Cloud Platform, Key Advantages Over AWS and Azure

Three of these advantages are structural. The fourth, automatic discounts, is narrower than it sounds.

BigQuery is the clearest case. It is a serverless warehouse, so there is no cluster to size, storage is billed separately from queries, and the first 1 TiB of querying each month is free. For analytics that run in bursts, paying per query can cost less than a warehouse provisioned around the clock.

AI is the second. The Gemini Enterprise Agent Platform, formerly Vertex AI, gives you Gemini models and a managed platform for building and serving models and agents, and Google Cloud also offers Tensor Processing Units (TPUs), the AI accelerators Google designs itself. We cover Gemini Enterprise Agent Platform use cases in a separate post.

Kubernetes is the third. Google created it, and GKE Autopilot manages the nodes for you. GKE charges $0.10 per cluster hour, and the free tier covers that fee for one Autopilot or zonal cluster per billing account.

Then the discounts. Sustained use discounts apply automatically on self serve Cloud Billing accounts once a VM of an eligible machine series runs for more than a quarter of the month, up to 30 percent on N1, M1 and M2 and up to 20 percent on N2, N2D and C2. E2, N4, C3 and C4 get none, and invoiced billing accounts do not receive them. So choose the machine series before you count on the saving. Committed use discounts, which do need a one or three year commitment, reach up to 55 percent for most machine types. Our Google Cloud cost optimization guide covers when each one pays off.

Google Cloud Strengths and Weaknesses, a Balanced Evaluation

One more strength sits outside BigQuery, Gemini and GKE. A Google Cloud VPC network is global, so a single network can span every region. Google listed 43 regions and 130 zones in September 2026, more regions than the 39 AWS lists, though fewer than Azure.

Now the weaknesses.

• Google Cloud is the smallest of the three, with 15% of worldwide cloud infrastructure spending in Q2 2026 against 28% for AWS and 20% for Azure, according to Synergy Research Group. That usually means fewer partners to choose from and fewer engineers to hire.
• It has two regions in India, Mumbai and Delhi, and nothing in the south. AWS has Hyderabad, and Azure has Chennai and Hyderabad.
• Windows Server is not covered by License Mobility, so most Windows estates pay for Windows again on Google Cloud. The narrow exception is in the section on when Azure fits better.

When GCP Is the Better Choice, Real World Use Cases

AI products are the obvious case, whether that means generative AI, heavy machine learning, or vision and speech. Data driven SaaS is the second, where BigQuery carries the real time analytics, the warehouse or the machine learning features. The third gets less attention. A team that already runs containerised microservices and wants Kubernetes without looking after the nodes is exactly who GKE Autopilot is built for.

Startup credits are a weaker reason than they look. Google for Startups can be generous, as the India section below shows, but AWS and Azure run startup programmes too, so let credits break a tie between two clouds that fit equally well.

Here are three of the systems we built on Google Cloud. Highlands Brain, an AI powered learning platform for a charter school network in California, serves more than 15,000 students. A white label travel insurance microsite runs on Cloud Run, so the client pays for usage rather than for idle servers. For Docmed, a managed queue on Google Cloud holds incoming requests whenever the ERP is down and delivers them once it returns.

None of this means Google Cloud will cost you less. That depends on your architecture and the discounts you use.

When AWS or Azure May Be a Better Fit

AWS is the better call when you need the broadest service catalogue, the most mature marketplace or the largest pool of engineers and partners. AWS also wins when the application is built deep into AWS specific services such as DynamoDB and Step Functions, because moving those means rewriting them.

Azure makes more sense when the company runs on Microsoft 365, Microsoft Entra ID, .NET and Windows Server, or needs strong hybrid capabilities. Licensing usually settles it. Windows Server licences with active Software Assurance or a qualifying subscription keep their value on Azure through Azure Hybrid Benefit. On Google Cloud, Windows Server is not covered by License Mobility, so you can bring your own licence only for versions released before 1 October 2019, under a Microsoft enrollment effective before that date, and only on sole tenant nodes. Every other Windows VM pays for Windows again through a licence included image. If Microsoft licensing is your main constraint, the Azure to Google Cloud migration guide sets out what travels and what does not.

How to Select the Ideal Cloud Provider for Your Business

Here is the order we would do it in.

1. Score each cloud against the six criteria above, weighted by what matters most to your business
2. Talk to engineers who have run production on each platform, and weigh what they say above any sales pitch, ours included
3. Pilot on your top two. Take one representative workload, build it on both, and measure latency, cost and how much effort it took your developers. Piloting all three usually costs more time than it saves

Our Google Cloud engineers can run this evaluation with you, then build or migrate the workload if Google Cloud wins.

Should Companies in India Choose Google Cloud?

Often yes, for data, AI and container workloads, and especially for companies already on Google Workspace, as long as the Mumbai and Delhi regions suit where your users are. The table compares the three clouds on the points we would look at first, as they stood in September 2026, and the notes below it cover regions, data residency, billing, credits, the Workspace link and migration.

Google Cloud vs AWS vs Azure for buyers in India, September 2026

Google Cloud vs AWS vs Azure for buyers in India, September 2026

Compared on	Google Cloud	AWS	Microsoft Azure
Regions in India	Mumbai asia-south1 and Delhi asia-south2	Mumbai ap-south-1 and Hyderabad ap-south-2	Central India in Pune, South India in Chennai, West India in Mumbai and India South Central in Hyderabad
Share of worldwide cloud infrastructure spending, Q2 2026	15%	28%	20%
Managed Kubernetes fee	GKE $0.10 per cluster hour, $0.60 on the Extended channel after standard support ends, with the free tier covering one Autopilot or zonal cluster per billing account	EKS $0.10 per cluster hour in standard support, $0.60 in extended support	AKS Free tier has no cluster management fee, while the Standard and Premium tiers charge per cluster hour
Free data transfer when you leave	Yes, after an Exit Notice, for a move of all your data off Google Cloud or off one Google Cloud service, internet transfers only	Yes, on request through AWS Support, for a move of all your data off AWS or off one AWS service, with 90 days to finish	The first 100 GB a month is free for everyone. For a full exit, Microsoft credits internet egress only, for up to 60 days, if you open an Azure Support request before you move and cancel all subscriptions before you claim the credit

Checked against Google Cloud, AWS and Microsoft documentation and Synergy Research Group data in September 2026. Fees in US dollars as each provider publishes them.

Regions

Google Cloud runs two regions in India, Mumbai as asia-south1 and Delhi as asia-south2. AWS runs Mumbai as ap-south-1 and Hyderabad as ap-south-2, and Azure runs four, Central India in Pune, South India in Chennai, West India in Mumbai and India South Central in Hyderabad. Google Cloud has no region in southern India, so if your users are concentrated in the south, or your disaster recovery design depends on a particular city pair, check the map before the feature list.

Data residency

The DPDP Act 2023 does not require personal data to stay in India, but the Reserve Bank of India circular of 6 April 2018 requires payment system data to be stored only in India. Our Google Cloud migration guide sets out the DPDP timeline and the other sector rules.

Billing in INR

If you buy direct from Google, accounts with an Indian billing address are billed in INR by Google Cloud India Private Limited, with 18 percent GST on the invoice, and a registered business that adds its GSTIN can claim input tax credit.

Startup credits

The Google for Startups Cloud Program gives up to $2,000 on its Start tier, for companies founded in the last 24 months, and up to $200,000 over two years on Scale, or $350,000 for AI first startups, and our guide to Google Cloud credits in India explains who qualifies.

The Google Workspace link

If your company already runs on Google Workspace, Google Cloud has a head start on identity. A Google Cloud organization is tied to your Google Workspace or Cloud Identity account, so the users, groups and sign in policies that already run email and documents also control who can reach your cloud projects. There is no second directory to keep in sync. When the technical case is otherwise even, we would let that decide it.

Moving from AWS or Azure

Moving an existing estate is a different project from choosing a cloud. We run AWS to Google Cloud migrations, and our guide to AWS to Google Cloud migration in India covers the service mapping, the costs and how the waves are sequenced, as our Azure to Google Cloud guide does for Microsoft estates.

Frequently Asked Questions

Our Recommendation

For most Indian product teams whose roadmap depends on data or AI and whose services already run in Linux containers, we would start on Google Cloud in Mumbai, with disaster recovery in Delhi. We would not move a Windows Server and SQL Server estate off Azure while its licences still carry value there. And we would think hard before moving an application built deep into DynamoDB and Step Functions, because that move is a rebuild. When two clouds fit about equally, run the pilot and let the numbers decide.

Choosing and Running Google Cloud with Unico Connect

Unico Connect is a certified Google Cloud partner and reseller in India, based in Mumbai. We sell Google Cloud to Indian businesses and bill the usage in INR with GST, the same way we sell Google Workspace. On top of that we offer value added services when you want them, from cost optimization and FinOps to DevOps and CI/CD setup, migration and managed operations, and when an issue needs Google, we raise and follow up support cases with Google for you.