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Modernizing Databases with AWS

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Schema Conversion Tool (SCT) vs Database Migration Service (DMS)

As organizations shift from legacy databases to cloud-native or open-source alternatives, one of the biggest challenges is migrating not just the data, but also the underlying schema and business logic. AWS provides two powerful services to simplify this transition: the AWS Schema Conversion Tool (SCT) and the AWS Database Migration Service (DMS). While they are often used together, each has a distinct role in the database modernization journey.

What is AWS Schema Conversion Tool (SCT)?

The AWS Schema Conversion Tool (SCT) is a desktop application designed to convert the schema of a legacy database — including tables, indexes, views, and stored procedures — into a format compatible with modern databases such as Amazon Aurora, Amazon RDS, or Amazon Redshift.

Key Features:

  • Schema translation for heterogeneous migrations (e.g., Oracle to PostgreSQL).
  • Assessment reports highlighting what can be automatically converted and what requires manual changes.
  • Support for procedural code (functions, triggers, stored procedures), though complex logic may require human intervention.
  • Data type mapping between source and target platforms.

Typical Use Case:

You’re migrating a legacy Oracle

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Luca Berton
Luca Berton

Written by Luca Berton

I help creative Automation DevOps, Cloud Engineer, System Administrator, and IT Professional to succeed with Ansible Technology to automate more things everyday