Author: Sashikanta Pattanayak

One critical aspect during the migration process from Oracle to PostgreSQL is identifying any semantic issues that may arise when translating Oracle-specific code to PostgreSQL. Although Oracle performs both semantic and syntax checks during code compilation, PostgreSQL focuses solely on syntax checks during code compilation, leaving room for potential semantic discrepancies in the converted code […]

Migrating from Oracle to PostgreSQL can involve several steps to ensure a smooth transition. A notable example is an Oracle collection, which is a feature that Oracle database developers commonly use. PostgreSQL does not directly support Oracle collections, and there currently isn’t an extension that adds this capability. There are several decisions you have to […]

An Oracle-to-PostgreSQL migration in the AWS Cloud can be a multistage process with different technologies and skills involved, starting from the assessment stage to the cutover stage. AWS offers services that make PostgreSQL database deployments easy to set up, manage, and scale for the cloud in a cost-efficient manner. These services are Amazon Relational Database Service (Amazon RDS) […]

To migrate an Oracle database to Amazon Aurora with PostgreSQL compatibility, you usually need to perform both automated and manual tasks. The automated tasks involve schema conversion using AWS Schema Conversion Tool (AWS SCT) and data migration using AWS Database Migration Service (AWS DMS). The manual tasks involve post-AWS SCT migration touch-ups for certain database […]

Database migration can be a complicated task. It presents all the challenges of changing your software platform, understanding source data complexity, data loss checks, thoroughly testing existing functionality, comparing application performance, and validating your data. AWS provides several tools and services that provide a pre-migration checklist and migration assessments. You can use the AWS Schema […]