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From Legacy ETL to Modern Lakehouse with a Informatica-to-Databricks Migration Utility

KPI DataBridge Suite

From Legacy ETL to Modern Lakehouse: How a Global Manufacturer Cut Costs by 67% with KPI Partners Informatica-to-Databricks Migration Utility

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. 

 

Project Overview: Modernizing Data Pipelines for the Cloud-Native Era

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. 

 

Key Results Achieved with KPI Partners 

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

 

Why Download This 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:

 

  • Step-by-step modernization roadmap: from assessment to migration and validation.
  • Real-world benchmarks: automation rate, performance gains, and TCO impact.
  • Common Informatica modernization challenges: and how KPI’s migration utility solves them.
  • Practical insights: on accelerating delivery through streamlined automation and DevOps.
  • A blueprint: for building a future-ready, cloud-native Databricks Lakehouse. 


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.  

 

 

 

Informatica to Databricks - From Legacy ETL to Modern Lakehouse

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