AWS vs Azure
Both clouds will host your app just fine. The real question is which one fits your team, your existing contracts, and the people you can hire.
Get a free quotePicking a Cloud Without the Hype
AWS and Azure run most of the internet between them, and either one will serve your product well. That's the boring truth nobody selling you a migration wants to say. AWS is the bigger platform with the deeper service catalog; Azure is the natural pick for companies already living inside Microsoft's world.
We deploy client backends to both from India — mostly AWS, some Azure — so this isn't theory. Below is what actually differs for a typical product team, and the situations where we'd argue for one over the other.
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ISO 9001:2015 CertifiedThe Case for AWS
Biggest catalog, biggest share
AWS still leads the market and offers the widest spread of managed services — EC2, Lambda, S3, RDS, DynamoDB and a couple hundred more. Whatever odd thing you need, there's usually a managed version of it.
Hiring and community
More engineers know AWS than any other cloud. Docs, courses, and answered questions exist for nearly every failure mode you'll ever hit at 2 a.m.
A paved road for startups
Amplify, App Runner, and Lightsail let a small team ship without a dedicated DevOps hire, and AWS Activate credits soften the first year's bill considerably.
Regions where our clients are
Mumbai and Hyderabad for Indian users, Sydney for Australia, plenty of US regions. Latency is almost never the deciding problem.
The Case for Azure
Microsoft shops fit naturally
If your company runs on Entra ID, Microsoft 365, and .NET, Azure slots in with far less friction — single sign-on, existing admin skills, familiar support channels.
Enterprise licensing math
Existing Microsoft agreements often carry discounts and committed spend that make Azure meaningfully cheaper than its list price. For many enterprises, that alone settles it.
Genuinely good PaaS
App Service, Azure SQL, and AKS are excellent. Deploying a .NET or Node API to App Service is about as low-drama as hosting gets.
Azure OpenAI Service
GPT models inside your own tenant, with enterprise data terms and regional hosting. For regulated clients adding AI features, that's a real and specific draw.
Which Should You Pick?
Pick AWS if you're a startup or product team with no existing Microsoft estate — the ecosystem, the talent pool, and the startup credits all tilt that way.
Pick Azure if your organization already pays Microsoft. The licensing math plus identity integration usually ends the debate before performance charts ever enter it.
Don't pick from price lists. Both are bafflingly complex to cost, and your architecture choices swing the bill far more than the vendor logo does.
Skip multi-cloud unless a regulator forces it. It sounds safe but doubles your ops surface — pick one, get good at it, and stay portable with containers if exit risk worries you.
Frequently Asked Questions
Which is cheaper, AWS or Azure?
For comparable compute and storage, list prices land close enough that it rarely decides anything. What moves the bill is architecture — serverless versus always-on servers, egress, managed database sizing — plus committed-use discounts. Azure wins on price mainly for orgs with existing Microsoft agreements.
Which is easier to learn?
Azure's portal is friendlier on day one; AWS has more third-party learning material for month six. Honestly, both sprawl. A team that knows one cloud well can pick up the other in a few weeks of real project work.
Which do you recommend for a new SaaS product?
Usually AWS. It's our default stack, the hiring pool is deeper, and startup credits help early on. We'd steer you to Azure if your product is .NET-centric or your buyers are enterprises that already trust Microsoft paper.
Can your team manage our cloud from India?
Yes — that's the normal arrangement. Our dedicated teams handle deployment, monitoring, and cost reviews from India at rates starting around USD 20/hr, with overlap hours matched to US and Australian time zones.
What about Google Cloud?
A solid third option with strong data and ML tooling, and it pairs nicely with Firebase. Its enterprise footprint is smaller, so hiring and third-party integrations take a bit more effort. We're happy to talk through it if GCP is on your shortlist.
What clients say
“GTSInfosoft and team are amazing! They have done so much to improve our systems and are still doing much work for us :) Thank you!.”
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