MySQL Data Access Components vs. Oracle Database@AWS vs. Qlik Replicate vs. django-mysql Comparison Chart

Oracle Database@AWS enables customers to migrate Oracle Databases, including Oracle Exadata workloads, to Oracle Exadata Database Service on Dedicated Infrastructure or Oracle Autonomous Database on Dedicated Exadata Infrastructure within AWS. This migration requires minimal to no database or application changes while maintaining full feature and architecture compatibility, performance, and availability. Customers can establish low-latency connections between Oracle Database@AWS and applications deployed in AWS, including on Amazon Elastic Compute Cloud (Amazon EC2). Oracle Database@AWS integrates directly with AWS Analytics services through zero-ETL to unify data across Oracle and AWS, enabling analytics and machine learning. Further, integration with AWS generative AI services is supported to accelerate innovation. It offers a unified experience for collaborative purchasing, management, operations, and support.

Django-MySQL extends Django’s built-in MySQL and MariaDB support their specific features not available on other databases. A new cache backend that makes use of MySQL’s upsert statement and does compression. Named locks for easy locking of e.g. external resources. Extra checks added to Django’s check framework to ensure your Django and MySQL configurations are optimal. Django-MySQL comes with a number of extensions to QuerySet that can be installed in a number of ways - e.g. adding the QuerySetMixin to your existing QuerySet subclass.