Learn more about

Imagine trying to keep up with the evolving needs of higher education institutions while ensuring your systems are cost-effective and scalable. This was the challenge faced by our client, a company providing a suite of software solutions for educational institutions. They needed to modernize one of their core components—an Operational Data Storage (ODS) system, which essentially served as a Data Warehouse for preparing data for BI (reporting), originally built on Oracle—by migrating to PostgreSQL in AWS. The primary goal of […]

Migrating Oracle databases to PostgreSQL or MySQL with AWS Schema Conversion Tool (AWS SCT) can present a range of challenges, from unsupported data types to limitations in automated code conversion and potential performance issues. AWS SCT offers powerful capabilities to automate these migrations, but it may not always deliver optimal results or handle complex Oracle constructs efficiently. In these cases, manual adjustments and optimizations are required to ensure a seamless transition to the target database. At ABCloudz, our team has […]

When migrating from Oracle to PostgreSQL, one of the most important differences to consider is the treatment of null and empty string values. In Oracle, null and empty string are treated as the same entity, but in PostgreSQL, they are distinct. Failing to account for this distinction during migration can lead to logical errors and unexpected behavior in the database. This post will explore key nuances and demonstrate how to handle these differences effectively. Comparing null and empty string In […]

When working with PostgreSQL, database developers may encounter a limitation when attempting to create routines with more than 100 arguments. PostgreSQL enforces this restriction by setting FUNC_MAX_ARGS to 100 during the server build. Although this limitation is rarely an issue, complex procedures, particularly those migrated from Oracle, may have a significantly higher number of arguments. This blog post outlines a solution to handle such situations by utilizing composite data types to bypass the argument limit, ensuring routine compilation without significant […]

The AWS SCT Extension Pack is designed to emulate Oracle’s system functions, procedures, and other database objects within PostgreSQL. This emulation is achieved by creating a special schema in PostgreSQL, named aws_oracle_ext, where these functions and objects are stored. This pack simplifies migration by replacing Oracle-specific calls with their PostgreSQL equivalents, ensuring that the code functions correctly post-migration. For example, consider the following transformations: Oracle PostgreSQL SELECT sysdate FROM dual; SELECT aws_oracle_ext.sysdate() SELECT to_char(sysdate, ‘dd.mm.yyyy hh24:mi:ss’), to_char(sysdate, ‘dd.mm.rrrr’) FROM dual; […]