Explore Options for Data Integration

Oracle offers multiple integration patterns, including real-time replication, data lake ingestion, and application integration. For each pattern, choosing the right tool delivers optimal results.

Explore Key Integration Patterns

Oracle supports a number of integration patterns, including application and data integration. You can use AI to scale all of them.

Pattern	Description
Real-time data replication	Use Oracle Cloud Infrastructure GoldenGate to ensure maintain data availability, establish continuous integration, and deliver timely insights.
Data lake ingestion and integration	Use the Data Studio in Oracle Autonomous Database to govern access to data, transform and enrich data, and share insights, including to an LLM for training.
Application integration and AI orchestration	Use Oracle Integration to establish connectivity for AI data, automate AI actions, and deliver predictable automation.

Differences Between Application Integration and Data Integration

Familiarize yourself with the typical time requirements, usage, and size of application integration and data integration jobs.

Application integration
- Time requirements: Business applications must be synchronized in real-time.
- Typical usage: Synchronizing enterprise data, bridging the gaps between business processes, or simplifying connectivity.
- Size: Typically smaller-scale synchronization requirements.
Data integration
- Time requirements: Business applications can be synchronized on a scheduled basis (not in real time).
- Typical usage: Evolving your tech stack, such as performing an initial migration that involves downtime, strategic planning, and communication.
- Size: Typically larger-scale synchronization projects.

Can You Use Oracle Integration for Data Integration?

Oracle Integration is designed for application integration, not data integration. However, if using a data integration tool isn't feasible, you might be able to use Oracle Integration to achieve your data integration goals.