EDB Backup and Recovery vs. Toad Data Modeler vs. dbForge Data Compare for PostgreSQL vs. django-mysql Comparison Chart

Visualize database structures and better understand existing databases and relationships. Create high-quality logical and physical data models. Reverse engineer existing database structures to view them in a diagram. Generate detailed HTML, RTF or PDF reports. Create quality database structures or make changes to existing models automatically, and provide documentation on multiple platforms. Build complex logical and physical entity-relationship models, and easily reverse and forward engineer databases. Connect multiple databases natively and simultaneously, including Oracle, SAP, MySQL, SQL Server, PostgreSQL, DB2, Ingres, and Microsoft Access. Synchronize models with existing databases using Change Script Generations and Update Model features. Easily convert data structures from one database platform to another to support business migration initiatives. Easily generate detailed hyperlinked reports on existing database structures in multiple formats like HTML and PDF.

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.