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How an AWS customer in the learning services industry migrated and modernized SAP ASE to Amazon Aurora PostgreSQL

Database Blog

This article details a comprehensive migration strategy for a learning services company moving from SAP ASE to Amazon Aurora PostgreSQL, highlighting key challenges and conversion techniques during database modernization.

  • Major migration challenges included data type compatibility, temporary table handling, cursor implementations, trigger conversion, and cross-database operations
  • Used AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) for migration
  • Implemented careful data type mapping between SAP ASE and PostgreSQL, paying special attention to numeric, date, and binary data types
  • Converted complex triggers and temporary table logic to match PostgreSQL's architecture
  • Addressed collation differences by adopting PostgreSQL's C collation for consistent text processing

The migration strategy focused on maintaining data integrity, performance, and functionality while transitioning from a proprietary database system to an open-source PostgreSQL environment.

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