Business Objective / Goal
To reduce total cost of ownership (TCO), improve scalability and performance, and modernize the analytics environment by migrating from Oracle EDW to a cloud-based PostgreSQL platform with enterprise-grade open-source tools and AWS infrastructure.
Solutions & Implementation
- Assessed legacy Oracle architecture, user base, and application workflows to prepare migration scope.
- Designed cloud-native data lake architecture using AWS infrastructure and open-source tools.
- Used Ora2Pg, AWS SCT, and AWS DMS for automated schema and data migration; manually converted complex procedures.
- Conducted detailed functional and performance testing to ensure parity and resolve any differences between Oracle and PostgreSQL environments.
- Migrated full dataset in two phases—snapshot-based and incremental—and enabled AWS-based backups and recovery processes.
Major Technologies Used
- AWS Platform – Cloud infrastructure foundation
- PostgreSQL – Target open-source database
- Oracle – Legacy source system
- AWS DMS, AWS Schema Conversion Tool (SCT) – For database migration
- Ora2Pg – Schema conversion
- Aptus Data Accelerators – For automation and performance tuning
Business Outcomes
- Significant Cost Savings on Licensing Migrated 9000+ Oracle users to PostgreSQL, eliminating license fees and reducing TCO.
- Streamlined 24x7 Support and Automation Reduced support overhead and enabled alert-driven, automated platform operations.
- 3.2 TB Data and Complex Schema Migration Successfully migrated 900+ tables, 600+ procedures, and 200+ daily job scripts with minimal downtime.
- High-Performance Storage Strategy Implemented hot, warm, and cold data storage tiers for optimized processing and recovery.
