ORMIT™-Analyzer vs. ORMIT™-Forms vs. Oracle Database@AWS vs. django-mysql Comparison Chart

Oracle Forms Code Analysis Tool: Customized Oracle Forms/Reports application development brings high levels of flexibility but with years of code maintenance and modifications, your application code documentation is obsolete 90% of the time. Our state of the art Oracle validated ORMIT-Analyzer tool helps understand the existing development patterns and to find opportunities to simplify the source code. The objective is to obtain detailed information on the possibilities and challenges to enable a more “future-ready” software architecture by separating the software architectural components: User-Interface, Business Logic and Database. ORMIT-Analyzer also helps prepare a potential application modernization project with the objective to protect the investment in the existing business logic and to achieve easier maintainable, more modern software architecture.

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.