Cloud Pricing in India 2026: AWS vs Azure vs GCP in INR

How Does Storage Pricing Compare in India?

Storage pricing in India is more uniform across providers than compute. For standard object storage, all three providers charge between INR 1.60-2.10 per GB/month for the first 50 TB in India regions. According to Google Cloud pricing (2026), GCP Standard Storage in asia-south1 starts at approximately INR 1.72/GB/month, making it marginally cheaper than S3 Standard at INR 1.90/GB/month and Azure Blob Hot at INR 1.85/GB/month.

Block Storage (SSD)

AWS gp3 EBS in ap-south-1: approximately INR 6.70/GB/month. Azure Premium SSD P30 in Central India: approximately INR 9.20/GB/month. GCP pd-ssd in asia-south1: approximately INR 14.20/GB/month. AWS holds a clear pricing advantage on SSD block storage in India. Azure's premium SSD is competitive at mid-range, while GCP's persistent disk pricing is notably higher. For storage-heavy workloads, this difference compounds quickly.

Archive and Cold Storage

For long-term data archival, all three providers offer deep-discount tiers. AWS S3 Glacier Deep Archive: approximately INR 0.15/GB/month. Azure Archive Blob: approximately INR 0.16/GB/month. GCP Archive Storage: approximately INR 0.10/GB/month. Google Cloud offers the lowest archive storage pricing in India. For enterprises with large compliance archives (common in BFSI), this difference is meaningful at petabyte scale.

[IMAGE: Bar chart comparing storage tier pricing across AWS, Azure, and GCP in India regions in INR per GB - cloud storage pricing india comparison]

How Do Managed Database Costs Compare?

Managed databases are a major cost driver for Indian enterprises running SaaS products and transactional applications. Comparing equivalent managed PostgreSQL offerings with 4 vCPUs and 16 GB RAM, pricing varies more than compute. AWS RDS pricing (2026) for db.m6i.xlarge in ap-south-1 is approximately INR 22,800/month on demand, while Azure Database for PostgreSQL equivalent costs approximately INR 19,500/month.

Managed PostgreSQL Comparison

AWS RDS for PostgreSQL (db.m6i.xlarge, ap-south-1): approximately INR 22,800/month on demand. Azure Database for PostgreSQL Flexible Server (D4s_v3, Central India): approximately INR 19,500/month. GCP Cloud SQL for PostgreSQL (db-custom-4-16384, asia-south1): approximately INR 20,800/month. Azure again offers the most competitive pricing for managed relational databases in India, though the gap narrows with reserved pricing.

NoSQL Database Pricing

For NoSQL, Amazon DynamoDB, Azure Cosmos DB, and Google Cloud Bigtable have fundamentally different pricing models, making direct comparison difficult. DynamoDB charges per request unit and storage. Cosmos DB charges per request unit with multi-model support. Bigtable charges per node-hour. For Indian enterprises, DynamoDB's on-demand mode is cheapest for variable workloads, while Cosmos DB's reserved capacity suits predictable throughput.

What About Data Transfer and Egress Costs?

[UNIQUE INSIGHT] Data egress, the cost of moving data out of the cloud, is often overlooked until the first bill arrives. All three providers charge for outbound data transfer to the internet. Google Cloud is generally 5-10% cheaper on inter-region transfers within India. AWS charges approximately INR 7.60/GB for the first 10 TB of internet egress from India regions. Azure and GCP charge comparable rates. The real savings come from architectural decisions: keeping data processing within the same region and using CDNs for content delivery.

Inter-Region Transfer Within India

Moving data between Mumbai and Hyderabad (AWS), or Pune and Chennai (Azure), or Mumbai and Delhi (GCP) incurs charges. AWS inter-region: approximately INR 0.84/GB. Azure inter-region within India: approximately INR 0.84/GB. GCP inter-region within India: approximately INR 0.84/GB. Pricing is essentially identical across providers for intra-India transfers.

Free Inbound and Internal Transfer

All three providers offer free data ingress (inbound to cloud) and free intra-AZ transfer. For Indian enterprises migrating large datasets, the ingress is free but egress from the previous environment (if also cloud-based) may not be. Plan migration data transfer costs carefully. For ongoing operations, design architectures that minimise cross-region and internet-bound data movement.

[CHART: Table - Data transfer pricing comparison: inbound, intra-region, inter-region, and internet egress for India across AWS, Azure, GCP in INR - provider pricing 2026]

Which Discount Mechanisms Offer the Best Savings in India?

Each provider has a distinct discount model that suits different operational styles. AWS Savings Plans offer flexibility across services and regions. Azure Reservations combined with Hybrid Benefit deliver the deepest stacked discounts. Google Cloud's automatic SUDs reduce management burden. The FinOps Foundation (2025) reports that organisations using provider commitment discounts save 30-50% compared to on-demand, regardless of provider.

AWS Discount Model

Compute Savings Plans (up to 66% off, flexible), EC2 Instance Savings Plans (up to 72%, region-locked), Spot Instances (up to 90% off, interruptible). AWS's strength is Savings Plan flexibility across instance families and regions. For Indian companies with evolving architectures or multi-region presence, Compute Savings Plans offer the safest commitment model.

AWS Savings Plans

Azure Discount Model

Reserved Instances (up to 72%), Azure Hybrid Benefit (up to 40% on Windows/SQL), Spot VMs (up to 90%). Azure's unique advantage is Hybrid Benefit stacking. Enterprises with existing Windows Server and SQL Server licences can stack Hybrid Benefit with reservations for total savings up to 80%. This makes Azure significantly cheaper for Microsoft-stack workloads.

Azure Reservations

Google Cloud Discount Model

Sustained Use Discounts (automatic, up to 30%), Committed Use Discounts (up to 57%), Spot VMs (up to 91%). Google's automatic SUDs mean you start saving without any action. CUDs layer on top for deeper savings. The simplicity of Google's model appeals to Indian enterprises that don't have dedicated FinOps teams to manage complex commitment portfolios.

How Should Indian Enterprises Choose a Cloud Provider Based on Cost?

[PERSONAL EXPERIENCE] We've found that the "cheapest provider" question usually has the wrong framing. The right question is: which provider is cheapest for your specific workload mix? An Indian BFSI company running Windows/SQL on Azure with Hybrid Benefit pays dramatically less than the same workload on AWS. An AI startup training models benefits most from AWS Graviton or GCP's TPU pricing. Cost comparison without workload context is misleading.

Decision Framework for Indian Companies

If your stack is primarily Microsoft (Windows, .NET, SQL Server): Azure, with Hybrid Benefit, is almost always cheapest. If you're Linux-native and value flexibility: AWS Compute Savings Plans plus Graviton delivers strong economics. If you want simplicity and automatic discounts: Google Cloud's SUDs plus CUDs require the least management. If you run analytics-heavy workloads: Google BigQuery's pay-per-query model often beats always-on alternatives.

The Multi-Cloud Cost Reality

Many Indian enterprises run multi-cloud by default. In practice, running the same workload type across two providers costs more than concentrating on one, because you lose volume-based discounts and operational efficiency. If multi-cloud is your strategy, segment workloads by provider strength rather than spreading identical workloads across platforms. Use each provider for what it does best and cheapest.

Frequently Asked Questions

Which cloud provider is cheapest in India for general-purpose VMs?

Azure typically offers the lowest on-demand pricing for general-purpose VMs in India regions. With reserved instances, Azure D-series pricing in Central India is approximately 10-15% below AWS equivalent. However, AWS Graviton instances offer the best price-performance for Linux workloads. The cheapest option depends on your OS and commitment willingness.

Do all three providers bill in INR?

AWS bills in USD by default but offers INR invoicing through authorised Indian resellers. Azure bills in INR for accounts set up through Microsoft's India entity. Google Cloud bills in USD but can issue INR invoices through Indian billing channels. For INR billing without currency exposure, confirm the billing arrangement before signing.

How often do cloud prices change in India?

Cloud prices are relatively stable but providers occasionally announce reductions, typically 5-15% on specific services. AWS has made over 100 price reductions since launch. New instance generations (like Graviton or Ampere) often deliver better price-performance than price cuts on existing families. Review pricing quarterly and evaluate new instance types as part of cloud cost optimization services reviews.

Should I use a cloud cost comparison tool?

Third-party tools like Infracost, CloudHealth, and Spot by NetApp can compare pricing across providers. For simple comparisons, each provider's pricing calculator is sufficient. For ongoing multi-cloud cost management, a third-party tool adds value by normalising pricing data and surfacing cross-provider optimisation opportunities.

Making the Right Cloud Pricing Decision for India

Cloud pricing in India is competitive across all three hyperscalers, with differences of 10-35% depending on service category and discount model. Azure offers the strongest pricing for Microsoft-stack workloads. AWS provides the broadest flexibility through Savings Plans and Graviton's price-performance. Google Cloud delivers the simplest discount model with automatic SUDs.

Don't choose a provider based on on-demand list prices alone. Model your actual workload mix with commitment discounts, transfer costs, and managed service pricing. The provider that looks cheapest on a pricing page may not be cheapest for your specific Indian deployment. Build a detailed cost model, run a proof-of-concept on your top two choices, and let real billing data guide your final decision.

cloud cost optimization deep dive

For hands-on delivery in India, see AWS vs Azure vs GCP for Indian Enterprises — Cloud Platform Comparison.