Application Development + Integration
No database or AI model brings value by itself. The success of a data strategy relies on how well applications use this information and how effectively systems interact. The connection between Application Development and Integration is about building strong, secure, and fast links between data and the end user.
Application Development With Oracle Apex
Integration With Legacy Or
Third-Party Systems
Support For Development In .Net + Other Languages
Modern
Api
Development
Integration Optimization
Application Architecture Consulting
How it works
1
Agility and Value Delivery (The Engine)
- Low-Code Development (APEX): Enables the creation of robust and intuitive applications in very short timeframes, reducing the need for complex manual coding.
- Acceleration of Critical Projects: Minimizes the consumption of development resources and connects natively to the database for maximum performance.
- Reduced Time-to-Market: Customizes specific business solutions with scalability to support high volumes of users from day one.
2
Interoperability and Connectivity (The Bridges)
- Integration with Heterogeneous Systems: The use of Database Gateways simplifies access to external data without the need to rewrite existing systems.
- Reliable Message Exchange: Ensures that integrated business processes flow without loss of information between Oracle and third-party applications.
- Hybrid and Multicloud Architectures: Strategic planning that connects the database to diverse IT ecosystems, ensuring low latency and high availability.
3
Flexibility of Models and APIs (Adaptability)
- Relational-NoSQL Convergence (MongoDB API): Allows modern applications to use familiar NoSQL APIs while maintaining the robustness and security of the Oracle relational engine.
- Multi-Language Support (.NET, Java, Python): The use of tools such as ODP.NET and stored procedures accelerates business logic and reuses existing code.
- Elimination of Data Silos: Consolidates different data models into a single platform, eliminating the need to maintain separate NoSQL databases.
4
Performance and Communication Stability (Fluidity)
- Connection and Network Optimization: Reduces integration bottlenecks and ensures fast responses even under high transactional load.
- Resource Minimization: Optimizes network traffic between systems, supporting stable integrated business processes.
- Integration Scalability: Supports demand growth and the adoption of new technologies without degradation of system performance.
Tendencies
Agentic AI and “Agentic Applications Builder”
The big change in 2026 is the emergence of AI that not only answers questions but performs tasks. Oracle has launched Agentic Applications Builder within its application and database ecosystem, allowing developers to create flows where AI interacts with APIs, databases, and legacy systems to complete end-to-end processes.
Highlight: Use of the Model Context Protocol (MCP) to enable secure, natural language interactions between agents and the database.
Integration with RPA and Self-Healing Robots
In the integration pillar, Oracle Integration (OIC) has evolved to include robotic process automation (RPA) with self-healing capabilities. In March 2026, version 26.04 introduced robots that detect changes in user interfaces (UI) and automatically adjust, drastically reducing integration maintenance time.
Highlight: AI-powered robots that correct execution flows without human intervention after transient failures.
Total Convergence and “Generative Development”
The trend is “Generative Development,” where Oracle APEX and SQL are powered by AI to generate code, create data schemas, and migrate legacy applications (such as from MongoDB to Oracle) without altering the original logic. The 23ai/26ai database allows treating the same data as JSON, Relational, or Graph, eliminating the complexity of integration between different types of databases.
Highlight: Autonomous AI Vector Database simplifies the creation of vector-based (RAG) apps using intuitive APIs and a web interface.
Native Multicloud (Database@AWS, Azure, Google)
Integration is now physical and low-latency across clouds. By 2026, the general availability of Oracle Database@AWS and @Azure will allow developers to build applications in a cloud (using native AWS tools, for example) with direct and transparent integration with Oracle Exadata.
Highlight: Oracle’s distributed cloud now allows AI and database services to run within other providers’ data centers with native performance.
