Redefine what's
possible
Move from Oracle to Databricks - Faster with AI
Moving from Oracle shouldn't take months of manual rework or leave your budget guessing. KPI Partners' AI-driven accelerator does the heavy lifting for you, so your team focuses on validating output instead of rebuilding pipelines from scratch giving you a quicker path to AI ready Databricks Lakehouse.
Reduce Timeline, Risk, and Cost with AI-Driven Conversion
A decade-old Oracle EDW, ADW or Exadata estate keeps costing you: rising OCI licensing, brittle PL/SQL pipelines, and a platform that slows down every AI initiative built on top of it. A manual rewrite only adds more time, cost and risk. KPI Partners cuts through all three with AI-driven conversion and structured validation, so your team reviews the migration instead of rebuilding it.

From Oracle Source to Databricks-Ready Code
Two engines do the heavy lifting. One reads your Oracle estate and scores every object by
complexity; the other converts each transformation into Databricks-compliant code with Artificial
Intelligence (AI), so your team plans with clarity and migrates with confidence.

A six-step path from Oracle to a governed Lakehouse
The full path the accelerator takes your migration through, from source assessment to a validated, AI-ready Lakehouse.

What Oracle to Databricks Migration Accelerator does
Automated Migration & Validation
Converts complex Oracle PL/SQL stored procedures into optimized PySpark notebooks with minimal manual effort, preserving business logic through structured parsing, standardized output, and review-ready validation.
Logic-Aware Conversion
Decomposes complex PL/SQL logic, including cursors, loops, and conditional flows, into an intermediary representation before generating clean, Pythonic PySpark code for Databricks.
Integrated Code & Data Migration
Migrates schema and historical data alongside code conversion to enable functional validation directly on Databricks, without separate ingestion or replication tooling.
Automated Assessment & Review
Scans Oracle objects to assess complexity and flag low-confidence conversion areas with AI-generated review comments, focusing human effort where it matters most.
Key Business Benefits of the Oracle to Databricks Migration Accelerator
90% cost savings versus a manual re-write, with 90%+ of SQL/ETL code auto-converted by the GenAI accelerator
85% faster migration timeline, with batch load times cut from hours to minutes on Databricks
High logic fidelity through deep Oracle grammar parsing and an intermediary representation layer, minimizing rework
Maintainable, cloud-native output clean, consistent, Pythonic PySpark code aligned with Databricks best practices
Scalable across large estates, handling thousands of Oracle objects and Informatica mappings (8,000+ in production) with predictable delivery
The value of the accelerator
KPI Partners is a Databricks Silver Tier Partner with the Databricks Migrate and Modernize Specialization, giving enterprises confidence that their modernization initiatives are backed by Databricks validated expertise to transform legacy data environments on the Databricks Lakehouse Platform.
.png)
Featured Case Studies & Blogs
Real Qlik to Power BI migrations delivered with the KPI Partners Accelerator.
60% faster month-end
Ready to Modernize Your Oracle Estate?
Book one of our KPI experts for a personalized walkthrough.
Success Stories
Reduced claims turnaround using AI-driven workflow automation, improving speed and consistency across operations.
![]()
Global Financial Services Leader
Enabled self-service access to ERP and analytics using governed GenAI, reducing IT dependency and improving decision speed.
![]()
Leading U.S. Beverage Manufacturer
Improved reliability through predictive intelligence and root-cause analysis embedded into operational workflows.
![]()
Global Manufacturing Leader
Data Platform Migration for Modern Analytics
KPI DataBridge Suite is designed to help enterprises modernize their data and analytics infrastructure across:
BI Modernization 🔗
Data Platform Migration 🔗
Data Products 🔗
