AWS vs Oracle Cloud Infrastructure (OCI) for Indian Enterprises: Which Cloud Wins in 2026?

Every Indian enterprise running Oracle databases, Oracle EBS, or Oracle Fusion Cloud faces the same cloud decision: AWS or Oracle Cloud Infrastructure (OCI)? Both have Mumbai and Hyderabad regions. Both meet RBI and SEBI data localisation requirements. But for Oracle workloads specifically, the answer is rarely as simple as "choose the bigger cloud."

Market Reality in India 2026

AWS remains India's largest cloud provider by overall market share (38%), but OCI is the fastest-growing cloud in India for the second consecutive year, driven almost entirely by Oracle database and Oracle ERP workload migrations. Here is why that matters for your decision.

Pricing: The Oracle Database Licensing Effect

This is the single biggest factor most comparison articles miss:

Bottom line on cost: For Oracle Database workloads, OCI is typically 30–60% cheaper than AWS due to Oracle's licensing model and free egress within OCI. If you are running Oracle DB on AWS today, your Oracle license costs are almost certainly higher than they need to be.

Performance: OCI's Architecture Advantage

OCI's network architecture is fundamentally different from AWS:

• Off-box network virtualisation — OCI's network stack runs on dedicated hardware, not on the same CPU as your compute. This gives bare-metal-level network performance on virtual machines.
• RDMA cluster networking — For HPC and AI/ML workloads, OCI's RDMA networking achieves lower latency than AWS EFA
• NVMe local storage — OCI's DenseIO shapes include local NVMe SSDs at no extra cost; on AWS, local NVMe (instance store) requires specific instance families

For typical Oracle OLTP workloads, real-world benchmarks show OCI running Oracle EBS transactions 20–40% faster than equivalent AWS RDS configurations.

Non-Oracle Workloads: AWS Wins Clearly

Where AWS has an undisputed advantage:

• Managed services breadth — 200+ AWS services vs OCI's ~100. Need managed Kafka, Elasticsearch, Redis, or ML pipelines? AWS has more options.
• Serverless and containers — AWS Lambda and EKS ecosystems are more mature than OCI Functions and OKE
• DevOps toolchain — CodePipeline, CodeBuild, and the broader AWS DevOps ecosystem has deeper integrations
• Partner ecosystem — More ISVs, more certified architects, more community knowledge in India
• ML/AI services — SageMaker is ahead of OCI Data Science for custom model training

Data Residency and Compliance (India)

The Recommended Decision Framework

Choose OCI if:

• You run Oracle Database (EE or SE2) — the licensing economics are decisively in OCI's favour
• You are running or planning Oracle Fusion Cloud (ERP, HCM, SCM) — OCI is Oracle's own cloud, updates are tested on OCI first
• You need Oracle Exadata performance without the on-premise capital cost
• Your primary workload is Oracle EBS and you want to lift-and-shift to cloud with minimal re-architecture

Choose AWS if:

• Your workloads are predominantly non-Oracle (Java apps, .NET, PostgreSQL, MySQL)
• You need a broad managed service catalogue (ML, IoT, analytics, serverless)
• Your engineering team is already AWS-certified and the switching cost is not justified
• You need the widest ISV ecosystem and partner support

Consider Multi-Cloud if:

• Oracle workloads go to OCI; everything else stays on AWS
• Use Oracle's OCI-AWS Interconnect (available in Mumbai) for private, low-latency cross-cloud connectivity at approximately $0.02/GB

ROSTAN's Cloud Migration Practice

ROSTAN Technologies helps Indian enterprises migrate Oracle workloads to OCI and builds hybrid architectures connecting OCI with existing AWS or Azure environments. Our team is certified on both AWS and OCI and can provide an independent, workload-specific recommendation — not a one-size-fits-all answer.

Explore our Cloud Migration services or request a cloud cost assessment.