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Cloud Strategy6 min read28 February 2026

AWS Alternatives in India: How Much Can Indian Startups Actually Save?

AWS works. But for Indian startups, the egress fees, dollar-denominated billing, and over-provisioning add up fast. Here's an honest look at the numbers.


AWS is the default choice for most Indian startups. The ecosystem is mature, the documentation is excellent, and it's what most engineers already know. But as cloud bills grow, the question of alternatives comes up — and the financial case is more compelling than many teams realise.

Where Indian Startups Overpay on AWS

The sticker price of AWS compute is not the real cost. Several factors systematically inflate bills for Indian customers:

Egress fees. AWS charges $0.08–$0.12 per GB for data transferred out of their infrastructure. For a media platform streaming video, an API serving mobile clients, or any application moving significant data, this becomes a large line item. On 10 TB of monthly egress, that's $800–$1,200 (₹65,000–₹100,000) just for data transfer — on top of compute costs. Dollar billing. AWS bills in USD. When the rupee depreciates, your cloud bill goes up in rupee terms without any change in usage. Over a 3-year period, exchange rate movement has added 10–20% to the effective rupee cost of dollar-denominated cloud services for Indian companies. Reserved instance commitments. AWS's pricing model incentivises 1-year or 3-year commitments through discounts. Companies that commit often end up over-provisioned as their workloads change — paying for capacity they don't need. Mumbai region premium. The AWS Mumbai (ap-south-1) region carries a slight premium compared to other regions, partly due to the cost of operating Indian infrastructure and data centre leases. Support costs. AWS Business Support starts at $100/month or 10% of usage — whichever is higher. For a startup spending ₹3 lakh/month on AWS, Business Support adds ₹30,000/month, often for a support tier that doesn't include the response times or account management the startup actually needs.

The Real Numbers

Let's model a typical Indian Series A startup:

Profile:
  • 8 vCPUs, 32 GB RAM (primary application)
  • PostgreSQL database (4 vCPUs, 16 GB)
  • 2 TB object storage
  • 5 TB monthly egress
  • 2 staging environments (run 8 hours/day on weekdays)
AWS Mumbai (on-demand, USD converted at ₹84):
  • Compute (m5.2xlarge, on-demand): ~₹28,000/month
  • RDS PostgreSQL (db.m5.xlarge): ~₹22,000/month
  • S3 storage (2 TB): ~₹4,000/month
  • Data transfer (5 TB egress): ~₹35,000/month
  • Staging environments: ~₹12,000/month
  • Total: ~₹1,01,000/month
AWS pricing estimates as of March 2026, converted at ₹84/USD. Check aws.amazon.com for current rates. Indian cloud provider (pay-as-you-go, INR, zero egress):
  • Equivalent compute: ~₹18,000/month
  • Managed PostgreSQL: ~₹14,000/month
  • Object storage (2 TB): ~₹2,500/month
  • Data egress: ₹0
  • Staging (auto-scaled, weekdays only): ~₹5,000/month
  • Total: ~₹39,500/month
Difference: ₹61,500/month. ₹7.4 lakh per year.

The biggest single factor is egress. Zero egress fees alone save ₹35,000/month in this model. For data-intensive applications the savings are even larger.

What You Trade Off

The honest answer: you trade ecosystem breadth and certain advanced services.

AWS has 200+ services. An Indian regional cloud provider has the core infrastructure — compute, storage, networking, managed databases, Kubernetes — without the specialised ML services, IoT platforms, media transcoding pipelines, and hundreds of other services.

For most Indian startups, this is a fine trade. The services you actually run in production are compute, object storage, a managed database, and Kubernetes or a container orchestration service. The specialised AWS services are used by a small minority of workloads.

For the minority of workloads that need AWS-specific services — SageMaker for ML, Kinesis for streaming, Rekognition for computer vision — running those specific services on AWS while moving the bulk of infrastructure to a cost-effective Indian provider is a viable hybrid strategy.

Making the Migration

A cloud migration sounds like a large project. For most Indian startups, the core migration — compute, database, object storage — takes 2–4 weeks for an experienced engineer:

  1. 1Set up infrastructure on the new provider (2–3 days)
  2. 2Configure networking and security groups (1 day)
  3. 3Migrate database with minimal downtime using logical replication (1–2 days)
  4. 4Update application configuration and deploy (1 day)
  5. 5DNS cutover (hours)
  6. 6Monitor and validate (1 week)
The S3 API compatibility of most Indian cloud object storage means application code changes are often zero or minimal — change the endpoint and credentials, everything else stays the same.

The 2–4 week investment pays back in under 2 months at ₹60,000+ monthly savings.

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