A U.S.-based global manufacturing enterprise modernized its legacy Informatica PowerCenter environment using KPI Partners Informatica-to-Databricks Migration Utility, part of the Data Platform Migration Accelerator in the KPI DataBridge Suite.
The transformation delivered faster analytics, reduced operating costs, and a scalable Databricks Lakehouse foundation built for AI-driven innovation and long-term performance.
Download the full case study to explore the complete Informatica to Databricks modernization roadmap, automation benchmarks, and business outcomes.
As Informatica environments age, modernization becomes critical for enterprises aiming to accelerate insights, control costs, and eliminate legacy dependencies.
The client, a U.S.-based global manufacturer, faced high ETL maintenance costs, performance bottlenecks in large-scale batch processing, and limited scalability for real-time analytics. They needed a faster, automated way to migrate complex Informatica workloads to Databricks while ensuring data accuracy, governance, and compliance.
KPI Partners addressed these challenges using a purpose-built, GenAI-powered Informatica-to-Databricks Migration Utility. The solution automated mapping conversion, applied validation frameworks to maintain functional parity, and established a unified Databricks Lakehouse for analytics and AI.
Through this automation-driven approach, KPI Partners helped the client transition from a rigid ETL setup to a cloud-native, governed, and high-performance data environment, achieving speed, accuracy, and scalability for the future.
KPI Partners delivers Informatica to Databricks migration outcomes that are measurable, outcome-driven, and aligned with real business impact. Here are some of the highlights from this transformation:
| Metric | Outcome |
| 10× Faster Performance | Delivered through cloud-native, distributed Databricks pipelines optimized for scale and speed. |
| 42% Faster Development Cycles | Enabled by reusable frameworks, version-controlled workflows, and CI/CD automation. |
| 50% Better Operational Productivity | Through unified monitoring, automated restarts, and reduced manual intervention. |
| 90% Automation Achieved | Using KPI’s Informatica-to-Databricks Migration Utility for mapping conversion and validation. |
Note: For detailed business impact and quantified results, refer to the full case study.
This isn’t just a story about one enterprise; it’s a modernization roadmap for organizations planning or evaluating an Informatica to Databricks migration.
Here’s what you’ll get inside the full case study PDF:
If you’re exploring Informatica modernization or planning to migrate workloads to Databricks, this case study provides practical insights and proven outcomes from a real manufacturing transformation.