Amazon.com had thousands of Oracle databases across teams, creating significant administration, provisioning, capacity-planning, and licensing overhead at enormous scale.

Amazon moved workloads to purpose-built AWS services including DynamoDB, Aurora, RDS, and S3, supported by AWS Database Migration Service and the AWS Schema Conversion Tool.

Amazon.com migrated 5,000 databases from Oracle to AWS, cutting annual database operating costs by more than half and reducing latency for most critical services by 40 percent.

Nykaa's different business verticals operated with separate databases, making it difficult to access a single source of sales, customer, and product inventory data and slowing analytics.

Nykaa built a common data lake with shared ingestion, governance, and query layers on AWS, creating a scalable foundation for big-data processing and future machine-learning capabilities.

The unified platform reduced report configuration from weeks to 4–5 hours, enabled 48x more frequent daily data refreshes, and delivered a 30% reduction in core software expenses during the proof of concept.

Zalando needed a more scalable and flexible technology foundation for its growing European fashion business while reducing the operational burden of managing SAP infrastructure on premises.

Zalando migrated its SAP systems to AWS and used cloud infrastructure and analytics capabilities to modernize operations and make business information available faster to decision-makers.

Zalando cut IT management time by more than 30% and improved access to near-real-time business performance information, supporting faster and more informed retail decisions.