Informatica to Databricks Migration
by Kanerika Inc.
Accelerate Your Informatica to Databricks Migration with Kanerika's Data Accelerator
As data volumes grow and analytics requirements become more sophisticated, organizations are reassessing their ETL infrastructure. Databricks offers a compelling alternative to traditional platforms like Informatica—one designed specifically for cloud-scale data processing, real-time analytics, and native machine learning capabilities. The Lakehouse architecture unifies storage and compute, enabling faster insights while reducing the complexity of managing multiple data systems.
Manual migration from Informatica to Databricks typically means months of tedious recoding, resource drain, and the constant risk of losing critical business logic in translation. Kanerika's FLIP eliminates these bottlenecks by turning what's traditionally a manual slog into an intelligent,
automated process.
Here's how FLIP streamlines the migration:
- Intelligent Code Transformation: Connects directly to your Informatica PowerCenter repository, analyzes your mappings and workflows, then converts them into optimized Databricks notebooks—available in either Python Spark or Scala Spark based on your team's preference.
- Zero Logic Loss Guarantee: Every transformation rule, lookup operation, aggregation, and data quality check is preserved and converted into equivalent Spark operations, ensuring your business logic remains intact.
- End-to-End Validation: Automated testing frameworks validate migrated workflows against source systems, catching discrepancies before deployment and ensuring data accuracy throughout the transition.
- Instant Deployment Readiness: Access organized deployment packages immediately after conversion—complete with detailed logs, documented code, migration reports, and test templates that make validation and rollout straightforward.
With FLIP automating up to 80% of the migration effort, organizations cut timelines from months to weeks while eliminating the risk of manual errors. Your team gets battle-tested Databricks pipelines ready for production—without the pain of starting from scratch.