OCI Data Integration

OCI Data Integration

Oracle OCI Data Integration excels in cloud-native ETL/ELT capabilities.

Basic Information

Oracle OCI Data Integration is a fully managed, multi-tenant, serverless, native cloud service designed for Extract, Load, and Transform (ETL) and Extract, Transform, and Load (ELT) tasks. It facilitates the ingestion, cleansing, transformation, and loading of large volumes of data into various Oracle Cloud Infrastructure (OCI) target data assets. The service utilizes a low-code approach with a visual designer, enabling users to graphically design data flows and pipelines.

  • Model/Version: As a continuously evolving cloud service, OCI Data Integration does not adhere to traditional versioning. It receives frequent updates and enhancements. Oracle Integration Generation 2 (OIC Gen 2) reached its End of Life (EOL) on August 31, 2025, requiring migration to Oracle Integration 3 (OIC 3). Oracle Integration 3 itself sees regular releases, such as v25.06 in June 2025 and v25.02 in March 2025. OCI Data Integration releases are frequent, with recent updates on February 21, 2025, October 25, 2024, September 27, 2024, July 25, 2024, May 29, 2024, February 14, 2024, January 19, 2024, and December 1, 2023.
  • Release Date: The service was introduced around June-July 2020.
  • Minimum Requirements: For agents (e.g., JMS plug-in, Oracle Management Agent), a minimum of 300 MiB of available disk space and 500 MiB of memory are required.
  • Supported Operating Systems: Client-side agents and related components support a broad range of operating systems, including Oracle Linux (versions 10, 9, 8), Red Hat Enterprise Linux (versions 10, 9, 8), SUSE Linux Enterprise Server (versions 15, 12), Ubuntu (versions 25.04, 24.04 LTS), Windows Server (versions 2025, 2022, 2019, 2016), Windows 11, Windows 10, and macOS (versions 16/26, 15, 14, 13).
  • Latest Stable Version: Oracle OCI Data Integration is a continuously updated cloud service, so a single "latest stable version" is not applicable. Users always access the most current version provided by Oracle. The latest Oracle Integration 3 release mentioned is v25.06 (June 2025).
  • End of Support Date: Oracle Integration Generation 2 reached End of Life on August 31, 2025. Oracle Data Integrator Cloud Service (ODICS) also has an End of Life date of August 31, 2025. OCI Data Integration, as a core OCI service, is under continuous support and development.
  • End of Life Date: Not applicable for the OCI Data Integration service itself, as it is a foundational OCI service with ongoing development.
  • Auto-update Expiration Date: Not applicable, as updates are automatically managed by Oracle as part of the cloud service.
  • License Type: Pay-as-you-go pricing model.
  • Deployment Model: Fully managed, multi-tenant, serverless cloud service within Oracle Cloud Infrastructure (OCI).

Technical Requirements

Oracle OCI Data Integration operates as a managed cloud service, meaning most infrastructure requirements are handled by Oracle. Client-side components, such as agents, have minimal requirements.

  • RAM: For agents, a minimum of 500 MiB is required. For general Oracle software installations, a minimum of 1 GB physical memory is needed, with 4 GB recommended. Database servers typically require 4-8 GB of memory.
  • Processor: Client-side agents support x64 and AArch64 architectures. For general Oracle software, an Intel Core or AMD Opteron at 2Ghz with Dual Core or faster (i386 or x86_64) is specified.
  • Storage: Agents require a minimum of 300 MiB of available disk space. For general Oracle software installations, a minimum of 500 MB is needed, with 10 GB recommended. Database server storage requirements depend on the data volume, roughly 2 GB for every 100,000 documents.
  • Display: Not directly specified for the cloud service. Client tools like Policy Studio on Linux/Solaris may require an X-Windows environment.
  • Ports: Not directly specified for the OCI Data Integration service. Related components may use default ports, such as 8060 for Policy Center and 8040 for Service Monitor.
  • Operating System: The core service runs on Oracle Cloud Infrastructure. Client-side agents are compatible with various Linux distributions (Oracle Linux, RHEL, SUSE, Ubuntu), Windows (Server and desktop versions), and macOS.

Analysis of Technical Requirements

The technical requirements for Oracle OCI Data Integration are primarily focused on the client-side agents and related components, reflecting its nature as a fully managed, serverless cloud service. The minimal requirements for RAM and disk space for agents indicate that the heavy lifting of data processing occurs within Oracle's cloud infrastructure. This design offloads significant operational burden from the user, allowing for scalability and resource management to be handled by Oracle. The broad operating system support for agents ensures flexibility in connecting to diverse on-premises or other cloud environments. The service itself leverages OCI's robust infrastructure, abstracting away underlying hardware specifics for the end-user.

Support & Compatibility

Oracle OCI Data Integration benefits from continuous updates and comprehensive support as a core OCI service.

  • Latest Version: As a cloud service, users always access the latest version. Oracle Integration 3 (OIC 3) has frequent releases, with v25.06 in June 2025 being a recent example. OCI Data Integration itself receives continuous updates.
  • OS Support: Client agents and related components support a wide array of operating systems, including Oracle Linux, Red Hat Enterprise Linux, SUSE Linux Enterprise Server, Ubuntu, Windows Server, Windows 10/11, and macOS.
  • End of Support Date: Oracle Integration Generation 2 reached its End of Life on August 31, 2025. Oracle Data Integrator Cloud Service (ODICS) also has an EOL date of August 31, 2025. OCI Data Integration, as a current OCI service, is actively supported.
  • Localization: Specific localization details are not explicitly available in the provided information.
  • Available Drivers: Not explicitly detailed, but the service connects to a variety of data sources, implying necessary connectivity mechanisms are in place.

Analysis of Overall Support & Compatibility Status

Oracle OCI Data Integration demonstrates strong support and compatibility, primarily due to its nature as a managed cloud service. Oracle handles all updates, ensuring users always have access to the latest features and security patches without manual intervention. The extensive operating system support for client agents allows for broad integration capabilities across hybrid environments. The clear end-of-life dates for older Oracle integration platforms (like OIC Gen 2 and ODICS) highlight Oracle's strategy to evolve its offerings and encourage migration to newer, more performant cloud-native services like OCI Data Integration. This ensures users leverage modern, well-supported technologies. Oracle's consistent recognition as a leader in data integration tools further underscores its commitment to the product.

Security Status

Security is a fundamental aspect of Oracle OCI Data Integration, leveraging the robust security framework of Oracle Cloud Infrastructure.

  • Security Features: The service is fully managed within a secure cloud environment. It integrates with Oracle Cloud Infrastructure Identity and Access Management (OCI IAM) for granular access control and policy enforcement. Data stored within OCI is encrypted, and all connections to Data Integration require SSL encryption. Support for OAuth 2.0 further enhances the security of integration instances. PGP file signing and verification are supported for stage file actions.
  • Known Vulnerabilities: Specific known vulnerabilities for OCI Data Integration are not publicly detailed in the provided information, but continuous updates and security remediations are part of its release cycle.
  • Blacklist Status: Not applicable, as it is a core Oracle service.
  • Certifications: While specific certifications for OCI Data Integration are not listed, it operates within the highly certified Oracle Cloud Infrastructure environment. Oracle is consistently recognized as a leader in data integration tools by Gartner.
  • Encryption Support: Data at rest in OCI is encrypted, and data in transit to and from OCI Data Integration uses SSL encryption. PGP encryption is available for file operations.
  • Authentication Methods: Authentication is managed through OCI IAM, allowing for integration with existing enterprise identity systems. OAuth 2.0 is also supported.
  • General Recommendations: Users are responsible for securing their applications, managing access to workspace resources, and ensuring network access to dependent data. It is recommended to use the latest versions of Oracle Cloud Agent and Oracle Management Agent software for compatibility and access to advanced features.

Analysis on the Overall Security Rating

Oracle OCI Data Integration maintains a strong security posture by inheriting and integrating with the comprehensive security features of Oracle Cloud Infrastructure. This includes robust identity and access management, encryption for data at rest and in transit, and secure connection protocols like SSL and OAuth 2.0. The continuous update cycle for the service, which includes security remediations, ensures that potential vulnerabilities are addressed promptly. While specific certifications for the service itself are not highlighted, its operation within the highly compliant OCI framework provides a solid security foundation. Users retain responsibility for securing their specific data assets and access configurations, adhering to a shared responsibility model typical of cloud services.

Performance & Benchmarks

Oracle OCI Data Integration is engineered for high performance and scalability within the Oracle Cloud Infrastructure ecosystem.

  • Benchmark Scores: Specific public benchmark scores for OCI Data Integration are not available in the provided data.
  • Real-world Performance Metrics: The service is powered by Spark ETL or ELT processes, enabling efficient processing of large data volumes. It features hybrid execution with Spark and SQL push-down capabilities. Oracle Integration Generation 3, which OCI Data Integration is part of, offers improved performance. OCI itself has demonstrated performance increases of 25% for some migrated workloads. It is optimized for Oracle Cloud environments.
  • Power Consumption: Specific power consumption metrics are not publicly disclosed for the cloud service. As a managed cloud offering, efficiency is handled at the infrastructure level by Oracle.
  • Carbon Footprint: Specific carbon footprint data is not publicly disclosed for the service. It benefits from the overall sustainability efforts and energy efficiency of Oracle's global data centers.
  • Comparison with Similar Assets: Oracle OCI Data Integration is rated higher than IBM DataStage in certain categories. It competes with other data integration tools such as SQL Server, StorageMAP, Matillion Data Productivity Cloud, Semarchy xDM, AnalyticsCreator, Google BigQuery, and Declarative Webhooks. Oracle has been recognized as a Leader in Gartner's Magic Quadrant for Data Integration Tools for 16 consecutive years.

Analysis of the Overall Performance Status

Oracle OCI Data Integration is designed for robust performance, leveraging the power of Spark and SQL push-down for efficient ETL/ELT operations. Its serverless and fully managed nature ensures scalability to handle large data volumes without manual resource provisioning by the user. The service's optimization for Oracle Cloud Infrastructure contributes to its efficiency and integration with other OCI services. While specific benchmark numbers are not available, its consistent recognition as a Gartner Magic Quadrant Leader for data integration tools and positive comparisons against competitors like IBM DataStage underscore its strong performance capabilities in real-world enterprise scenarios. The focus on continuous improvement, as seen in the performance enhancements of Oracle Integration Generation 3, indicates a commitment to maintaining a high-performing service.

User Reviews & Feedback

User feedback for Oracle OCI Data Integration highlights its strengths in ease of use and cloud-native capabilities, alongside some areas for improvement in handling highly complex scenarios.

  • Strengths: Users frequently praise its low-code development environment, visual designer, and drag-and-drop interface, which simplify ETL/ELT processes. The ease of integrating and creating SOAP and REST endpoints is a significant advantage. Other appreciated aspects include automation capabilities, support for diverse data sources and transformations, high scalability, increased developer productivity, and enhanced monitoring. The dependability and immediacy of messages and near real-time data transfer are also noted.
  • Weaknesses: Some users report complexity when pulling data from Fusion applications via BICC and occasional slowness during file uploads. Challenges arise with highly complex business processes (BPMs) and limitations in form customization. The manual nature of origin-to-target tracking in complex integrations can be time-consuming. Issues with automapping, native Excel file processing, and a 5-minute database timeout are also mentioned.
  • Recommended Use Cases: OCI Data Integration is recommended for data integration in big data, data lakes, and data science initiatives, as well as for data marts and data warehousing. It is ideal for common ETL tasks, including ingesting, cleansing, transforming, and loading data into OCI target assets. It is also suitable for building end-to-end data-driven orchestrations and integrating third-party data sources into structured Oracle SQL server databases.

Summary of User Reviews & Feedback

Overall, users find Oracle OCI Data Integration to be a powerful and user-friendly tool for cloud-native ETL/ELT, particularly appreciating its visual, low-code interface and strong integration with the OCI ecosystem. Its scalability and managed nature are significant advantages for standard data integration tasks, data lake, and data warehousing scenarios. However, feedback suggests that while it excels in many areas, there can be complexities and performance bottlenecks in highly intricate or specialized integration patterns, such as those involving specific Oracle Fusion applications or very large, complex transformations. The service is best suited for organizations looking for a robust, scalable, and easy-to-use data integration solution within OCI, especially for modern data platforms and analytics initiatives.

Summary

Oracle OCI Data Integration is a comprehensive, fully managed, serverless, and multi-tenant cloud service designed for modern ETL/ELT workloads within Oracle Cloud Infrastructure. It provides a low-code, visual development environment that simplifies the design and orchestration of data flows and pipelines. The service is continuously updated by Oracle, ensuring users always access the latest features and security enhancements without manual intervention. It boasts broad compatibility for client-side agents across various operating systems, facilitating integration with diverse data sources both within and outside OCI. Security is robust, leveraging OCI's inherent framework with strong IAM integration, encryption, and secure connection protocols. Performance is optimized for the cloud, utilizing Spark and SQL push-down capabilities for scalable and efficient data processing, a fact underscored by Oracle's consistent recognition as a Gartner Magic Quadrant Leader in data integration. User feedback highlights its ease of use, visual design, and scalability as key strengths, making it ideal for data lakes, data warehousing, and general data science initiatives. While generally well-received, some users note potential complexities in highly specialized or large-scale custom integrations. Overall, OCI Data Integration is a powerful and strategic asset for organizations seeking to streamline their data integration processes in a cloud-native environment, offering significant operational benefits and accelerating data-driven insights.

The information provided is based on publicly available data and may vary depending on specific device configurations. For up-to-date information, please consult official manufacturer resources.