Microsoft Azure
The cloud you build and run on — Microsoft Azure is a leading public cloud (compute, data, AI/ML) deeply integrated with the Microsoft estate, with hybrid, compliance and India data-residency.
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How it’s rated
Full scoreboard ↓Data residency & processing — per service, not per estate
Stored in
Central India · South India · West India · India South Central (Hyderabad)
Microsoft documents each geography as a fixed data-residency boundary. India is one.
The caveat
“Nonregional” services
Some Azure services are not tied to one region. A few let you choose the geography; others do not.
For regional services the India boundary is a real commitment. But residency on Azure is a per-service question — check the specific services in your architecture, and note that a service running on Azure can still process elsewhere (Microsoft Sentinel stores in an India region but processes in the US). Source: Microsoft’s Azure regions and nonregional-services documentation.
Quick answer
The Microsoft Azure platform family
This page covers Microsoft Azure — the cloud. The other pillars:
Quick facts
30-second orientation- Product
- Microsoft Azure
- Vendor
- Microsoft
- Category
- Public cloud platform (IaaS/PaaS)
- Standing
- One of the two leading public clouds
- Services
- Compute, storage, DB, networking, AI/ML, analytics
- Advantage
- Deep Microsoft-estate & hybrid integration
- AI
- Azure OpenAI and AI services
- Pricing
- Consumption + reserved capacity
- India
- Data-residency regions
- In India via
- TechBag — consumption forecasting, optimisation, GST, support
Understand the cloud platform before you buy it
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
What is it?
Microsoft’s public cloud platform — one of the two leading clouds: compute, storage, databases, AI/ML and hundreds of services to build, run and scale applications, deeply integrated with the Microsoft estate.
On-prem/stitched vs Azure — the honest table
What consolidation actually replaces, dimension by dimension.
| Dimension | On-prem / stitched hosting | Microsoft Azure |
|---|---|---|
| Cloud | On-prem / stitched | Leading public cloud |
| Estate fit | Separate | M365/Entra integrated |
| Build/run apps | On-prem servers | Cloud, full-stack |
| AI | Separate | Azure OpenAI, integrated |
| Hybrid | Hard | Azure Arc, strong |
| Data-residency | Limited | India regions |
| Economics | Fixed CapEx | Consumption + reserved |
| Security | Separate | Defender for Cloud + E5 |
The natural cloud for the Microsoft estate — AWS (breadth) and Google Cloud (data/AI, hub live) are the alternatives.
The five pieces of the platform
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Compute
Virtual machines, containers, Kubernetes (AKS) and serverless functions — run any workload.
Data & Databases
Managed databases (Azure SQL, Cosmos DB, PostgreSQL), storage and analytics — your data platform.
AI & ML
AI and ML services, including Azure OpenAI — build and run AI on the cloud.
Integration
Deep integration with M365, Entra identity and hybrid on-prem — the Microsoft-estate fit.
Enterprise & Hybrid
Strong enterprise, hybrid and compliance capabilities, with India data-residency.
One cloud for compute, data and AI — integrated with Entra identity, Microsoft 365 and hybrid on-premises estates.
Eleven capabilities. Build, run, scale.
Azure gives compute, data, AI/ML and hundreds of services to build and run applications — integrated with the Microsoft estate, hybrid, and India-resident.
Compute (VMs/Containers/Serverless)
Run any workload — VMs, AKS, functions.
Storage
Blob, file and disk storage at cloud scale.
Managed Databases
Azure SQL, Cosmos DB, PostgreSQL and more.
Networking
Virtual networks, load balancing, connectivity.
AI & ML (Azure OpenAI)
AI/ML services and Azure OpenAI models.
Analytics & Data
Data analytics, warehousing and pipelines.
Entra Integration
Shared identity with M365 and the estate.
Hybrid & On-Prem
Azure Arc and hybrid links to on-prem.
Cloud Security
Defender for Cloud, security services.
India Regions
Data-residency and compliance regions.
Consumption + Reserved
Pay-per-use, with reserved savings.
Watch Microsoft Azure in action
The cloud platform, Azure OpenAI and estate integration.
What is Microsoft 365 Copilot?
Copilot across Word, Excel, Teams and more — from Microsoft.
Take a Tour of the Microsoft 365 Copilot App
The Copilot app walked through, feature by feature.
Microsoft Azure Overview
Azure's platform breadth in one official overview.
Want a live, India-context walkthrough for your environment?
Book a guided demo →Build on your own infra? Build on the cloud.
Here’s what genuinely sets Microsoft Azure apart from the alternatives.
A leading public cloud, full-stack
Azure is one of the two leading public clouds, with hundreds of services across compute, storage, databases, networking, AI/ML, analytics and security to build, run and scale almost any workload. For an organisation moving to or expanding in the cloud, it covers essentially any need.
The natural cloud for the Microsoft estate
Azure’s distinctive advantage is integration with the Microsoft estate: shared identity (Entra), deep ties to Microsoft 365, hybrid links to on-premises via Azure Arc, and consistent tooling. For organisations standardised on Office, Windows and Entra, the pieces already fit and skills transfer.
Build and run your own applications and AI
Where M365 is ready-made productivity software, Azure is where you build and run your own software, host data and workloads, and increasingly run AI via Azure OpenAI and AI services — the foundation your custom applications, data platforms and AI initiatives live on.
Strong hybrid, enterprise and compliance
Azure is strong in enterprise, hybrid and regulated scenarios: hybrid cloud for phased migration and workloads that must stay on-prem, strong compliance certifications and in-country Indian data-residency regions — often decisive for BFSI, government and hybrid enterprises.
Consumption pricing — with optimisation levers
Azure is consumption-based, flexible but in need of forecasting and optimisation; reserved instances, savings plans and right-sizing offer substantial savings. Unmanaged cloud spend is a common budget shock. TechBag helps forecast and optimise Azure spend, in INR/GST.
The honest positioning
Azure is a leading public cloud, the natural fit for Microsoft-centric estates (M365/Entra/Windows), with strong hybrid, enterprise and India data-residency. AWS is the broadest infrastructure cloud; Google Cloud (hub live) is strong on data and AI/ML. TechBag compares honestly and optimises consumption, in INR/GST.
The numbers behind the platform
What your Microsoft Azure journey looks like
Cloud scoping
Your workloads, estate (Microsoft?), hybrid needs and data-residency. TechBag scopes it free.
Azure PoC
Stand up a workload on Azure; test integration with your estate; model the consumption.
Migrate & build
Migrate/build workloads; integrate identity and security; set up reserved capacity; optimise.
Cloud steady state
Apps, data and AI on Azure, integrated and optimised. TechBag forecasts and optimises spend in INR/GST.
The review scoreboard
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
Quick poll — what’s driving your evaluation?
Talk to an advisor“As a Microsoft-centric enterprise, Azure fit: shared Entra identity, M365 integration and hybrid links to on-prem.”
“We build and run our applications and data platform on Azure: compute, managed databases and analytics.”
“Azure OpenAI let us build enterprise AI on the cloud we already trust, integrated with our data and identity.”
“As a regulated bank we needed in-country regions and hybrid links, and Azure met compliance where cloud-only couldn’t.”
“Consumption pricing surprised us until TechBag helped forecast; reserved instances and right-sizing cut our spend.”
“We compared AWS and Google Cloud, both strong, but for our Microsoft estate and Entra identity, Azure was the fit.”
“Defender for Cloud integrates with our M365 E5 security, giving one posture across cloud and productivity.”
“As an Indian GCC, Azure is our global parent’s standard; TechBag handled India consumption, optimisation and GST.”
Where everyone sits — the grids
Analyst firms bury this view behind paywalls, and review-site grids score satisfaction, not fit for your estate. So here’s TechBag’s synthesis of the cloud platform market — tap any vendor to see why it sits where it does.
TechBag Cloud Grid
Execution strength vs product vision — the classic market map, minus the paywall.
Microsoft-estate cloud — this page.
Cloud Breadth × Estate Integration
The grid nobody publishes — The grid nobody publishes — breadth of cloud services vs Microsoft-estate integration.
Estate integration — the corner it fills.
Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
Microsoft Azure vs the field
The leading clouds and the on-prem baseline — honest lanes; the edge is estate integration plus hybrid.
| Dimension | Microsoft Azure | Amazon AWS | Google Cloud | On-prem / private cloud | Stitched hosting |
|---|---|---|---|---|---|
| Approach | Microsoft-estate cloud | Broadest infra cloud | Data/AI-strong cloud | Your own infra | Ad-hoc |
| Estate integration | M365/Entra/Windows | Standalone | Google estate | None | None |
| Hybrid | Azure Arc | Outposts | Anthos | Native | None |
| Data / AI | Azure OpenAI | Broad | Strong | DIY | None |
| Best fit | Microsoft-centric orgs wanting the natural, integrated cloud | Broadest infrastructure needs | Data/AI/ML-led | Must stay on-prem | Nobody at scale |
Which cloud fits you?
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Choose Microsoft Azure if…
- ✓You’re Microsoft-centric (M365/Entra/Windows)
- ✓You want the natural, deeply-integrated cloud
- ✓Hybrid and India data-residency matter
- ✓You want to build/run apps and AI on a leading cloud
Choose AWS if…
- ✓You want the broadest infrastructure cloud
Choose Google Cloud if…
- ✓Data, analytics and AI/ML lead — hub live
Choose private cloud if…
- ✓Workloads must stay fully on-premises
Stitched hosting if…
- ✓Never at scale — it doesn’t scale or integrate
What does on-prem / un-optimised cloud cost you?
Drag the sliders (workloads/servers as scale proxy; IT-hour cost as loaded rate). Estimates assume ~30 hours per workload per year of infrastructure overhead and un-optimised spend, with ~50% removed by cloud + optimisation — the agility and scale value is the larger unpriced win. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models your actual environment and modules.
Three ways to consume it
Azure prices by consumption (pay-per-use) with reserved-capacity savings. TechBag forecasts and optimises spend in INR/GST.
Azure Consumption
Best for flexibility
- Pay for what you use
- Compute, storage, DB, AI
- Scale up and down
+ Reserved / Savings
Best for steady workloads
- 1/3-year commitments
- Substantial discounts
- Right-sizing
+ The estate
Best integrated
- M365, Entra, hybrid, security
- One Microsoft estate
- TechBag optimises spend
Buy it for less — TechBag pricing beats list
Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.
Get an India-ready quote
Tell us your requirements and current tools — we’ll model it against what you spend today.
The 8 questions to ask every public-cloud vendor
Take this into your next vendor call — including ours.
Confirm integration with your Microsoft estate (M365, Entra, Windows).
Confirm the compute, data, AI and other services your workloads need.
Test hybrid links (Azure Arc) if you have on-prem workloads.
Confirm India data-residency regions for regulated data.
Consider Azure OpenAI for building AI on your cloud.
Model expected consumption; scope reserved instances/savings plans.
Weigh AWS (breadth) / Google Cloud (data/AI) vs Azure (estate fit).
Forecast and optimise Azure spend — TechBag models it in INR/GST.
Questions buyers ask
Ready to evaluate Microsoft Azure?
Scope an Azure PoC (a workload + consumption model), or let a TechBag advisor forecast and optimise your cloud spend — in INR/GST.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.