Every data team working with Oracle Fusion Cloud knows the struggle. The data is rich, comprehensive, and mission critical. But getting it out, making sense of it, and turning it into something your business can actually use? That’s where things get complicated.

Oracle Fusion Cloud applications were designed for efficient operations, not for analytics in mind. Its data structures are flattened; its access methods are fragmented across OTBI, BI Publisher, and BICC, and just when you think you’ve built the perfect pipeline, a new custom field appears and breaks everything. For data engineers, it often feels like you’re translating between two languages that were never meant to speak to each other, moving data from Oracle Fusion to Databricks is the gap that Orbit Datajump was built to close.

A Partnership Built on Complementary Strengths 

The vision was clear from the start: combine Oracle’s enterprise application expertise, Databricks’ cutting-edge analytics platform, and Orbit’s deep specialization in Oracle Fusion data modeling. Orbit Analytics partnership with Oracle and Databricks helped create something no single vendor could deliver alone, a seamless bridge from Oracle Fusion Cloud Applications to modern, analytics-ready infrastructure.

Think of it this way: Oracle Fusion Cloud Applications is where your business happens. Databricks is where your insights happen. And Orbit Datajump is the intelligent layer that connects the two, translating complex transactional data into the language of analytics.

How the Solution Actually Works 

Let’s walk through what happens when you deploy Orbit Datajump alongside your Oracle Fusion and Databricks environments.

First, the Data Extraction

Through its partnership with Oracle, Orbit has built native, certified connectors to every major Oracle Fusion data source—OTBI, BI Publisher, BICC, and the APIs that power Fusion’s cloud infrastructure. Instead of writing custom scripts or wrestling with manual exports, your team simply configures Orbit to pull exactly what you need.

The system handles incremental loading automatically. It tracks changes. It schedules itself. And because it’s built specifically for Oracle Fusion, it understands the quirks and complexities that generic ETL tools miss entirely.

Then, the Transformation

This is where the Orbit-Databricks partnership really shines. Once data lands in Databricks, Orbit doesn’t just dump it into tables and walk away. Instead, it builds something far more valuable: pre-engineered, analytics-optimized data models that sit directly on Databricks’ Delta Lake.

These aren’t generic templates. They’re carefully designed star schemas that reflect how finance teams actually think about General Ledger data, how procurement teams analyze spend, how HR teams track workforce metrics. Orbit has done the heavy lifting of translating Oracle Fusion’s complex, denormalized structures into clean, intuitive models—so your Databricks environment immediately understands your business.

And the Ongoing Adaptation

Here’s where most solutions fall apart: change. Your finance team adds a new descriptive flexfield. A custom column appears in a procurement report. An LOV gets updated. In a traditional setup, each of these changes means manual rework, broken pipelines, and urgent tickets for your data engineering team.

Orbit Datajump handles this differently. It continuously monitors schema changes in Oracle Fusion, detects them automatically, and propagates those changes through your Databricks pipeline—version-controlled, documented, and seamless. Your models stay in sync without anyone lifting a finger.

The result? Databricks becomes a resilient, adaptive foundation for your Oracle Fusion analytics—not a brittle integration that requires constant maintenance.

From Weeks to Dashboards 

Because Orbit provides pre-built fusion business models and semantic layers along with pre-built dashboards, your team isn’t starting from scratch. You’re starting from 70–80% complete. That General Ledger dashboard you thought would take three months? With Orbit and Databricks working together, you’re looking at weeks. Maybe days for certain use cases.

And once the data is in Databricks’ Delta Lake format, you get all the benefits that come with it: time-travel for historical analysis, optimized partitioning, elastic scalability, and a foundation ready for not just dashboards, but machine learning, predictive analytics, and advanced data science.

A Real-World Example: MARTA’s Journey

Let’s look at how this played for MARTA, the Metropolitan Atlanta Rapid Transit Authority. They needed to migrate their Oracle Fusion Financial, Supply Chain, and HCM data into Databricks to power enterprise-wide analytics.

The traditional path would have been painful. Data engineers manually extracting BI Publisher reports or BICC extracts. Building custom staging logic from scratch. Spending months sometimes maybe quarters reconstructing General Ledger journal models, reconciling differences, chasing down data quality issues. It’s the kind of project that drags on, burns out teams, and often gets scaled back before it’s finished.

MARTA took a different approach. They deployed Orbit Datajump.

Within weeks, not months, their Oracle Fusion Cloud data was flowing into Databricks. Orbit’s pre-built GL and AP models are deployed automatically. When MARTA’s Fusion instance had custom descriptive flexfields, those notorious DFFs that usually break everything, Orbit detected and handled them without intervention. And because the data was already modeled and ready, MARTA’s team built Power BI dashboards in weeks, not quarters.

The project went from “this is going to take forever” to “wait, we’re already done?”

Why This Partnership’s Matters

Databricks is an exceptional platform. It’s built for scale, for AI, for the future of data engineering. But it wasn’t built specifically for Oracle Fusion—and frankly, it shouldn’t have to be. That’s not its job.

Oracle Fusion Cloud Applications is where millions of transactions happen every day across the world’s largest enterprises. But it wasn’t designed to feed modern data lakehouses and frankly, that wasn’t its job either.

The Orbit’s partnership with Oracle and Databricks recognizes a fundamental truth: specialized expertise matters. Oracle knows enterprise applications. Databricks knows modern analytics platforms and Orbit knows how to translate between the two reliably, intelligently, and at enterprise scale.

Orbit created a solution that treats Oracle Fusion like what it should be: just another analytics-ready data source. No friction, no months of custom development, no fragile pipelines held together with duct tape and hope.

Just your Oracle Fusion Cloud Applications data, flowing seamlessly into Databricks, ready for whatever insights your business needs next.