Informatica to Data Bricks Migration Tool

Automate the transition from legacy Informatica PowerCenter to Databricks Lakehouse. Convert XML mappings into optimized PySpark and Delta Live Tables with up to 80% automation.

Product Overview

Legacy ETL tools often act as a bottleneck for modern AI and Machine Learning initiatives. GEN Flow is a GenAI-driven migration solution specifically engineered to bridge the gap between Informatica PowerCenter and the Databricks Data Intelligence Platform.

Rather than undertaking a multi-year manual rewrite, GEN Flow parses your Informatica XML repositories and intelligently reconstructs them as high-performance PySpark notebooks or SQL-based Delta Live Tables (DLT). We ensure that your decades of business logic are not just "moved," but modernized for a cloud-native Spark environment, fully integrated with Databricks Unity Catalog for end-to-end governance.

Why Choose GEN Flow?

• Massive Time Savings: Reduce migration timelines by 60-70% compared to manual re-engineering.

• Cost Efficiency: Eliminate expensive legacy licensing and maintenance fees by moving to the scalable, pay-as-you-go Databricks architecture.

• Preserved Business Intelligence: Advanced AI agents accurately translate complex Informatica transformations (Lookups, Expressions, Aggregators, and Routers) into functional Spark code.

• Future-Ready Architecture: Automatically adopt Delta Lake best practices, including Liquid Clustering and Z-Ordering, during the conversion process.

Key Features

• Automated Repository Parsing: Securely ingest Informatica XML exports to map workflows, sessions, and dependencies.

• Intelligent Code Generation: Translates visual mappings into clean, PEP 8-compliant PySpark or Scala code.

• Orchestration Mapping: Converts Informatica Workflows into Databricks Workflows (Jobs), maintaining triggers and parameter propagation.

• Automated Data Validation: Built-in "Side-by-Side" testing compares source (Informatica/Oracle) and target (Databricks/Delta) outputs to ensure 100% data parity.

• Governance Alignment: Seamlessly registers all migrated assets into Unity Catalog to maintain data lineage and security.

Ideal For:

• Data Engineers looking to move away from proprietary, GUI-locked ETL tools to open-source Spark standards.

• IT Leaders aiming to consolidate data engineering and AI/ML on a single platform.

• Enterprises modernizing Hadoop-based data lakes or on-premises Informatica footprints.