MODDB combines migration rules, RAG, LLM-based code generation, automated business use case test generation, and comprehensive validation to deliver a secure, end-to-end SQL/PLSQL migration and testing platform.
Migration rules, RAG & LLM-based SQL/PLSQL transformation with automated validation.
Derives business-oriented test scenarios from SQL/PLSQL workloads and validates functional correctness.
Automates test data creation, source & target execution, and result comparison at scale.
MODDB is a Gen-AI powered database migration and validation platform that enables secure, automated, and intelligent migration of SQL/PLSQL workloads across multiple database platforms. It combines migration rules, RAG, LLM-based code generation, automated validation, and comprehensive monitoring to deliver an end-to-end migration and validation workflow.
✦ Built for enterprises modernizing mission-critical SQL/PLSQL workloads.
End-to-end SQL/PLSQL migration and validation, powered by migration rules, embeddings, RAG, and LLM-based code generation.
Source and target support across the major enterprise and open-source database engines.
Uses AI to automatically derive business-oriented test scenarios from SQL/PLSQL workloads, generate test cases and supporting test data, execute them across database environments, and compare results to validate functional correctness and consistency.
Connects to the source database and identifies required business use cases and database objects.
Extracts relevant SQL/PLSQL code, metadata, procedures, functions, tables, and dependencies.
Parses and analyzes the source code to understand business logic, workflows, inputs, outputs, and dependencies.
Identifies functional scenarios and generates comprehensive test cases covering positive, negative, boundary, and exception conditions.
Creates the required test, reference, and dummy data for executing the generated test cases.
Executes the generated test cases against the source and target database environments.
Compares source and target results to verify functional equivalence and identify discrepancies.
Validates pass/fail status, expected versus actual results, errors, and functional mismatches.
Produces detailed test execution reports, coverage metrics, results, and error information.
Stores test cases, test data, execution results, logs, reports, and audit artifacts for further analysis and traceability.
Automates test case generation, test data creation, execution, and result comparison for database migration validation — ensuring functional equivalence between source and migrated PostgreSQL workloads.
Everything you need to trust, trace, and act on a migration — generated automatically by MODDB.
Validated and optimized PostgreSQL SQL scripts.
Comprehensive test cases with setup, assertions & teardowns for Oracle and PostgreSQL.
Detailed execution results, logs, pass/fail status & error details.
Compatibility assessment, risk identification & recommendations.
High-level migration summary with KPIs and insights.
Complete audit logs, performance metrics & operational insights.
Embeddings and retrieval-augmented generation improve translation accuracy for complex SQL/PLSQL logic.
Test scenarios are derived from real business logic — not just schema-level checks.
Code obfuscation protects sensitive identifiers and logic before any AI processing.
Runs generated test cases against source and target databases and flags functional mismatches automatically.
Every job, artifact, and result is logged and traceable end-to-end for compliance and troubleshooting.
Let's discuss how MODDB can help you migrate SQL/PLSQL workloads across databases and validate functional correctness with AI-generated business use case tests.