Oracle Fusion Cloud Applications to Amazon Redshift with Orbit DataJump

Oracle Fusion Cloud Applications to Amazon Redshift: Fast, Cost-Efficient Analytics with Orbit DataJump

Orbit DataJump moves Oracle Fusion Cloud Applications data into Amazon Redshift as trusted, analytics-ready datasets, so teams can run high-performance reporting, isolate workloads, and scale cost-effectively for close and peak demand.

Request a Demo
1st fold image-1

Why Redshift for ERP analytics

Redshift strengths that matter for ERP workloads

Independent compute + storage scaling (RA3 managed storage)

Size for performance without overpaying for storage - RA3 lets you scale compute and storage independently.

Serverless for volatile workloads

Redshift Serverless automatically provisions and scales capacity in seconds—ideal for unpredictable analytics and peak close cycles.

Native S3 data lake access with Redshift Spectrum

Query data in Amazon S3 (including open formats like Parquet) while keeping warehouse performance for curated ERP models.

Share live data across accounts/regions without copying

Enable secure access to live data across clusters/workgroups, accounts, and regions - without manual movement.

Governance aligned with AWS Lake Formation

Apply consistent access controls when querying governed data.

2nd fold image-1

How Orbit DataJump works with Redshift

Step 1

Extract Oracle Fusion Cloud Applications Reliably

In Orbit DataJump, choose Oracle Fusion Cloud Applications as the source. DataJump supports extraction options such as BICC, BI Publisher (BIP), Custom SQL, and REST APIs, handling schema discovery and Oracle-specific realities.

Step 2

Load into Amazon Redshift

Set Amazon Redshift as the destination and map to your target database/schema. DataJump supports bulk + incremental loads, standardizes landing patterns, and prepares Redshift-ready tables for analytics.

Step 3

Automate refresh and monitor runs

Schedule refreshes, validate loads, and monitor pipeline health from the Orbit console—helping ERP analytics stay predictable even as requirements evolve.

Redshift Graphic

Oracle Fusion Cloud Applications + Amazon Redshift + Orbit Datajump

Faster time to usable analytics
get Oracle Fusion Cloud Applications datasets into Redshift quickly, ready for reporting and modeling
Peak-ready performance
scale for close/quarter-end demand using RA3 sizing or Serverless scaling
Lower total cost
decouple storage and compute with RA3 managed storage
Lakehouse flexibility
keep curated ERP models in Redshift while querying broader data in S3 via Spectrum
Simpler collaboration
share live datasets across teams/accounts/regions without copying data

Learn More

Automate and Sync Data with Amazon Redshift Using Orbit’s Oracle Fusion Cloud Data Pipelines

As more companies integrate Oracle Fusion Cloud data into warehouses like Redshift, the need for a reliable Fusion Connector grows. Orbit Data Pipelines meets this demand by seamlessly migrating Oracle Fusion data to Redshift for efficient, streamlined integration.

Read Now >

Unlock the Full Potential of Amazon Redshift and Amazon Athena with Orbit’s Reporting Solution

Orbit’s Reporting Solution enhances Amazon Redshift and Athena by enabling seamless access to multi-source data, self-service real-time reporting, and unified dashboards across hybrid environments.

Read Now >

Actionable Intelligence and Insights from your Amazon Redshift Data

Orbit’s Reporting Solution unlocks actionable intelligence from Amazon Redshift by unifying data from legacy warehouses and cloud sources like Redshift and Athena.

Read Now >

Oracle Fusion for AWS Redshift

Watch our On-Demand Masterclass, Oracle Fusion for Redshift to learn to build robust data pipelines from Fusion to Redshift for enterprise-grade reporting.

Watch Now >