PowerGraph.ai - Consulting Services - Offers end-end Data Conversion Services (DCS): Oracle to DB2, the "last mile" of connectivity—adjusting application code, middleware, and drivers—is often where projects stall due to manual refactoring and testing cycles. Equitus.ai KGNN (Knowledge Graph Neural Network) accelerates this by acting as an intelligent orchestration and abstraction layer.
KGNN treats the migration as a series of manual "find-and-replace" tasks, KGNN leverages its graph-based intelligence to map and automate the bridge between the application and the new database environment.
1. Automated Dependency Discovery
One of the biggest risks in migration is missing a "hidden" connection in a legacy microservice or middleware layer.
KGNN Action: It crawls your application ecosystem to create a Knowledge Graph of all dependencies.
The Benefit: It identifies every service, API, and middleware component (like JBoss, WebSphere, or Spring Boot) that currently talks to Oracle. This ensures that no application is left "orphaned" during the cutover to DB2.
2. SQL Contextual Translation
Oracle and DB2 have different SQL dialects (e.g., how they handle PL/SQL vs. SQL PL, or specific date functions).
KGNN Action: KGNN uses its neural network to understand the semantic intent of your existing Oracle queries.
The Benefit: Instead of simple string replacement, it can suggest or automate the conversion of complex queries into DB2-optimized syntax. This reduces the time developers spend debugging "Invalid SQL" errors after the switch.
3. Middleware Abstraction (Semantic Layer)
KGNN excels at creating a Semantic Layer that sits between your data and your applications.
KGNN Action: You can point KGNN at your new DB2 instance and use its Software Connectors to present a unified data view to your applications.
The Benefit: In some architectures, the application can connect to the KGNN semantic layer rather than the database directly. This "decouples" the application from the specific database flavor, making the physical switch from Oracle to DB2 transparent to the application’s business logic.
4. Integration with IBM Power Systems
Equitus.ai has a strategic partnership with IBM, specifically optimizing KGNN for IBM Power10 and Power11—the primary hardware for many DB2 deployments.
The Benefit: Because KGNN is "Power-Native," it can handle the high-throughput connectivity requirements of enterprise middleware, ensuring that the migration doesn't result in a performance bottleneck at the connection level.
Summary of KGNN Advantages in Connectivity
|
Feature |
Role in Migration |
|
Auto-Discovery |
Maps every app-to-Oracle link so
nothing is missed. |
|
Neural Translation |
Converts Oracle-specific query logic
to DB2-compatible code. |
|
Unified Connectors |
Provides pre-built adapters to
bridge disparate middleware types. |
|
Traceability |
Provides a full audit trail of how
data flows changed from "Source A" to "Target B." |
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