What is Oracle Cloud Infrastructure?

Oracle Cloud Infrastructure (OCI) is Oracle’s cloud computing platform for running and scaling database instances and applications in a secure cloud environment. It supports access management, Oracle integration, and data cleansing to maintain data accuracy and integrity. OCI also integrates with Microsoft Azure, enabling interoperability for multi-cloud strategies and supporting performance optimization and real-time analytics.

Why migrate Oracle EBS to cloud?

Migrating Oracle EBS to the cloud improves system flexibility and scalability, reduces hardware costs, and enhances security through cloud-based access management. It also supports better data quality via advanced cleansing tools and Oracle integration, while providing the agility needed for digital transformation and faster adaptation to business needs.

How do I migrate from EBS to another region?

Migrating Oracle EBS to another region involves backing up the database and application files, transferring them to the target region, and restoring the environment. Tools like Oracle Data Guard can replicate databases in near real-time to minimize downtime. Testing and validation after migration ensure smooth operation and business continuity.

What does EBS cloud stand for?

EBS Cloud refers to running Oracle E-Business Suite (EBS) on a cloud platform, such as Oracle Cloud Infrastructure or AWS. Cloud deployment moves EBS applications, data, and processes from on-premises to the cloud, providing greater flexibility, scalability, and reliability, along with automated updates, easier disaster recovery, and improved ERP performance.

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3 Types of EBS Migration: Best practices & Key Benefits in 2026

Hazal Şimşek

updated on Jan 22, 2026

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Oracle EBS is a well-known suite of business applications that was released by Oracle Corporation in 2001 to manage and automate various business processes. The term “Oracle EBS migration” describes the Oracle EBS migration procedure. This migration could consist of the following types:

Oracle EBS migration refers to the migration process for Oracle EBS. This migration may include types like:

EBS to cloud migration such as:
- EBS to OCI
- EBS to AWS
Data migration for EBS.

1. EBS migration to Cloud

Summarize This Research

Oracle EBS migration to OCI

Strategic planning and familiarity with both EBS and OCI are necessary for the migration of data, workflows, custom configurations, and integrations from Oracle E-Business Suite (EBS) to Oracle Cloud Infrastructure (OCI).

Figure 1: An example of a multi-tier EBS installation on OCI¹

Key Benefits

Improved scalability and flexibility

OCI provides scalable infrastructure, allowing businesses to adjust resources according to demand without costly investments in hardware. This flexibility helps managing fluctuating workloads. As a result, organizations can scale resources up or down as needed seamlessly.

Cost savings

OCI’s pay-as-you-go model can enable organizations to lower capital expenditures by paying only for the resources they use. By moving to OCI, companies can reduce the need for on-premises infrastructure, potentially lowering operational costs significantly.

Continuous updates and innovation

OCI enables access to the latest features and improvements without the need for manual upgrades, helping organizations stay competitive. The cloud environment also integrates with other Oracle Cloud services, enhancing the functionality of EBS.

Simplified maintenance

Migrating to OCI reduces the burden of system maintenance on IT teams, allowing them to focus on strategic initiatives rather than routine tasks. This can improve overall application reliability and performance.

Enhanced security and compliance

OCI offers advanced security features and adheres to industry standards to protect sensitive information. Moving to OCI allows organizations to benefit from Oracle’s robust security measures, reducing data breach risks and ensuring regulatory compliance.

Streamlined migration process

With OCI, organizations can leverage a “lift and shift” migration approach that allows them to retain their existing applications, customizations, and workflows in the cloud. This process minimizes operational disruptions and the need for extensive retraining.

Steps to ensure a successful EBS migration to the cloud

The following steps outline key phases of migration testing:

Pre-migration testing: Before moving to the cloud, it’s crucial to test the current EBS system to identify potential challenges, including customizations, integrations, and third-party applications. This helps prepare the system for migration and reduces the risk of unexpected problems.
Post-migration testing: After the migration, testing verifies that the system operates as expected in the cloud environment. This phase ensures that all components, integrations, and customizations are functioning properly, confirming the success of the migration.
Continuous testing: Throughout the migration process, continuous testing helps to identify issues early. This ensures smooth integration and minimizes downtime. It includes validating data integrity, security, and compatibility with the cloud environment.

Best practices for testing

Collaborative approach: The testing team should work with development, infrastructure, and operations teams to conduct thorough, end-to-end testing.
Iterative methodology: Testing should be performed in small cycles or sprints to address issues quickly before moving forward.
Test environment management: A test environment mirroring the production setup ensures accurate test results and helps identify environmental issues early.
Documentation and reporting: Thorough documentation of testing processes and results keeps stakeholders informed and provides insights into any issues encountered during the migration.
Use of testing tools: Tools like Oracle Application Testing Suite (OATS) and Oracle Real Application Testing (RAT) are valuable for functional, load, and performance testing during migration.

EBS migration on AWS

Oracle E-Business Suite (EBS) migration to AWS refers to the process of transferring an organization’s Oracle EBS system and its associated data, applications, and infrastructure from on-premises or another hosting environment to Amazon Web Services (AWS).

Oracle EBS is an application suite supporting core business functions, including finance, HR, supply chain, manufacturing, and CRM. Migration to AWS provides scalable cloud infrastructure without changing Oracle ERP functionality.

Figure 2: Oracle EBS migration on AWS, customer’s paths²

Key Aspects of Oracle EBS Migration to AWS

Lift-and-shift migration: This approach moves Oracle EBS to AWS largely unchanged, transferring existing virtual machines, storage, and configurations while preserving current customizations and workflows.
Re-platforming: It introduces limited environment changes, such as using managed AWS services for the database layer, to reduce operational overhead while maintaining Oracle EBS compatibility
Modernizing with cloud-native and emerging technologies: It Integrates Oracle EBS with AWS cloud-native services, including AI and ML, to improve automation, analytics, and reporting, often replacing rigid customizations with more flexible solutions.

Benefits of migrating Oracle EBS to AWS

Cost efficiency: AWS’s pay-as-you-go model helps organizations control costs, reducing the need for significant upfront investments in hardware.
Scalability: AWS allows EBS workloads to scale dynamically based on demand, making it easier to handle peak loads.
Enhanced performance and availability: AWS’s global infrastructure provides high availability, disaster recovery, and improved performance, ensuring business continuity.
Access to advanced services: AWS’s wide range of services enables organizations to innovate and enhance Oracle EBS functionalities, such as AI-powered analytics, data warehousing, and security enhancements.

AWS tools for Oracle EBS migration

AWS offers a suite of tools and best practices for managing Oracle EBS migrations, including:

Database migration service (DMS) for smooth database transfers.
Application migration service for automating server migration to AWS.
AWS well-architected framework to ensure that the migrated environment aligns with AWS best practices for reliability, security, and efficiency.

2. Data migration for Oracle EBS

Data migration involves transferring data from legacy systems, spreadsheets, or other sources into Oracle E-Business Suite (EBS) to improve data integrity and accuracy.

Explore strategies and techniques to support a smooth data migration for Oracle EBS:

1. Planning and data preparation

This step helps understanding current data, defining migration objectives, and setting a structured approach. Key steps include:

Data assessment: Identify data sources, formats, and types (such as master and transactional data), and analyze quality to spot gaps, inconsistencies, or duplicates.
Define migration scope: Decide which data to migrate (full datasets or subsets) and outline any transformations needed to match Oracle EBS structures.
Develop a successful migration strategy: Choose a migration approach (such as Big Bang, Phased, or Parallel) based on organizational needs, allocate resources, and set a realistic timeline.
Backup and recovery planning: Ensure that source data is backed up to avoid losses, and establish a disaster recovery plan for unexpected issues.

Case study: SIJ Group

SIJ Group (Slovenia, Steel & Special-Steel Production) struggled with Legacy EBS 12.1.3 on-premises environment as it lacked scalability and readiness for 12.2 upgrade.

SIJ Group planned and executed a structured OCI migration, including full assessment of current data, defining scope, creating migration strategy, and building backup/DR plans to ensure a smooth lift-and-shift and future upgrade path.

Results:

OCI infrastructure provided scalable performance for EBS workloads
Upgrade path to EBS 12.2 accelerated with minimal downtime
Maintenance overhead reduced, lowering costs on database and infrastructure.³

2. Data mapping and transformation

Data mapping aligns fields from the source system with those in Oracle EBS, while transformation ensures data meets EBS formatting and validation standards. Key considerations include:

Understand Oracle EBS data model: Familiarize yourself with tables, columns, data types, and relationships within Oracle EBS.
Data mapping documentation: Document source-to-target mappings for each data element, noting any transformations or validations.
Data transformation and cleansing: Apply necessary transformations to meet EBS requirements and cleanse data to remove duplicates and correct inaccuracies. For more on data cleansing, consider techniques used in data augmentation.

Case study: Global packaging manufacturer

A global packaging manufacturer encountered issues related to its on-premises EBS due ot its data inconsistencies and system bottlenecks across 200+ facilities.

While migrating to OCI, the manufacturer focused on data mapping and transformation to align its legacy structure with EBS standards and optimize operational workflow.

Results included:

Improved system response and reduced bottlenecks globally
Reduced infrastructure costs while improving scalability and availability
Stronger DR and security enabled through OCI.⁴

3. Data validation and pre-load checks

Data validation helps ensure accuracy and integrity before loading data into Oracle EBS. Pre-load checks identify potential issues early on:

Data integrity validation: Run checks to confirm that data relationships are intact and address any referential integrity issues.
Data completeness and accuracy: Ensure mandatory fields are populated and use profiling tools to assess data quality.
Error reporting and handling: Set up error logging and resolution procedures for efficient error management.

Data validation can be achieved through tools like data orchestration tools and data governance tools.

4. Data loading techniques

After preparing and validating data, the next step is to load it into Oracle EBS using appropriate methods based on data volume and complexity:

Oracle data loaders: Use tools like Oracle Data Loader (FNDLOAD) and Forms Data Loader to automate data upload, minimizing manual effort.
Oracle APIs: Leverage Application Programming Interfaces (APIs) for programmatic data insertion, which includes data validation to enforce business rules.
Open interface tables: Some EBS modules provide open interface tables to stage data before validation and processing.

Case study: Americhem

Americhem migrated its cumbersome on-premises EBS environments to OCI, due to non-production instances, production backups, and DR systems.

The firm utilized Oracle APIs and cloud-native loading tools to automate and streamline data transfers, ensuring accurate and fast loading of large datasets.

It achieved results like:

Migration of all workloads completed in under 3 months
DR and backup environments rebuilt in OCI without large capital investment
Faster provisioning of environments and reduced manual effort
Operational efficiency increased with ongoing cloud maintenance simplified.⁵

5. Post-migration verification

After completing migration, verify data accuracy and completeness through:

Data reconciliation: Compare migrated data with the original source data to identify any inconsistencies.
Data audits: Conduct audits to verify data accuracy and completeness.
User acceptance testing (UAT): Engage users to confirm that the migrated data meets their requirements and business processes. Learn more on user accepted testing.
Data archiving and cleanup: Archive source data for historical reference and clear legacy system storage of unneeded data.

Victoria Department of Education

Victoria Department of Education & Training struggled with limitations in their legacy private cloud. The organization migrated to OCI by performing post-migration verification, such as: reconciliation, UAT, and audits.

Results include:

Smooth cutover with minimal post-go-live issues
Higher availability and improved performance of EBS workloads
Faster provisioning and operational efficiency on OCI
Enhanced disaster recovery and monitoring capabilities.⁶

6. Data migration performance

To ensure efficient migration, consider optimization strategies like:

Data partitioning: Partition large datasets for faster loading.
Parallel processing: Use parallel processing to speed up data transfer.
Batch size adjustment: Experiment with batch sizes to balance speed and resource use effectively.

For insights into optimizing data processing, consider strategies used in Serverless Functions.

Case study: Wits University

University of Witwatersrand in South Africa faced problems related to overnight payroll and HR reporting, causing delays in operations. The university migrated Oracle EBS workloads to OCI to leverage cloud scalability and parallel processing for faster data handling.

Results:

Payroll and people-management reports now run in a few hours instead of overnight
Infrastructure footprint reduced to 40% of previous on-premises size while improving performance
Cost savings achieved through optimized cloud resource usage.⁷