Oracle Data Integrator offers flexible EL-T architecture, optimizing processing with database capabilities. It supports diverse data sources, automates deployment, and provides efficient data transformations, making it suitable for data warehousing and complex data environments.


| Product | Mindshare (%) |
|---|---|
| Oracle Data Integrator (ODI) | 2.5% |
| SSIS | 3.7% |
| Informatica Intelligent Data Management Cloud (IDMC) | 3.6% |
| Other | 90.2% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Data Integration | May 8, 2026 | Download |
| Product | Reviews, tips, and advice from real users | May 8, 2026 | Download |
| Comparison | Oracle Data Integrator (ODI) vs Informatica Intelligent Data Management Cloud (IDMC) | May 8, 2026 | Download |
| Comparison | Oracle Data Integrator (ODI) vs SSIS | May 8, 2026 | Download |
| Comparison | Oracle Data Integrator (ODI) vs Informatica PowerCenter | May 8, 2026 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Informatica Intelligent Data Management Cloud (IDMC) | 4.0 | 3.6% | 92% | 214 interviewsAdd to research |
| Teradata | 4.1 | 1.0% | 88% | 83 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 21 |
| Midsize Enterprise | 9 |
| Large Enterprise | 36 |
| Company Size | Count |
|---|---|
| Small Business | 287 |
| Midsize Enterprise | 146 |
| Large Enterprise | 602 |
Oracle Data Integrator leverages EL-T architecture to enhance processing by utilizing database strengths. It integrates with a wide array of technologies, including RDBMS, cloud, and big data. The software's Knowledge Modules enable customizable integration strategies, accelerating development. With a user-friendly interface and automation features, it simplifies metadata management and supports real-time data warehousing. Key areas such as UI performance, integration, and real-time data capabilities require enhancements. Challenges include error handling, initial setup, and compatibility with platforms like Git, Azure, and IoT services. Improvements in metadata management, scalability, and user-friendliness are needed.
What are the most important features of Oracle Data Integrator?Organizations utilize Oracle Data Integrator primarily in data warehousing, handling data from ERP systems, EBS, Fusion, and cloud databases. It aids in creating data lakes, OLTP migrations, digital health initiatives, and automation tasks, ensuring seamless integration with databases like MySQL and SQL Server.
Oracle Data Integrator (ODI) was previously known as ODI.
Griffith University, Kansas City Power & Light, Keste, Raymond James Financial, Valdosta State University
| Author info | Rating | Review Summary |
|---|---|---|
| Head of Data Services – Services Partner at 3 As Technologies | 4.0 | I've used Oracle Data Integrator for six years to streamline ETL processes with strong transformation capabilities, metadata integration, and flexible deployment. While stable and fairly priced, it could improve scalability and unify its interface for better usability. |
| Works | 3.5 | I work at an insurance company using Oracle Data Integrator for our data warehouse, which excels in Oracle environments with its ELT system. However, it struggles with diverse infrastructures compared to tools like Informatica PowerCenter or IBM DataStage. |
| DWH Framework Architect at Erste Group | 4.0 | I am using Oracle Data Integrator for mapping data with models created in PowerDesigner, appreciating its robust development environment and support for various programming languages, though its slow interface and costly pricing model for Oracle Cloud pose challenges. |
| Software Engineer at a financial services firm with 10,001+ employees | 4.0 | I use ODI for data integration, appreciating its ELT architecture for optimizing data movement. Setup was straightforward, and it's stable for 500 users. I'd like to see AI capabilities added, but I haven't measured its ROI. |
| Data Engineer at Systems Limited | 3.5 | We utilize Oracle Data Integrator (ODI) for extracting, transforming, and loading data into systems like Azure and Salesforce. Its robust ETL capabilities and user-friendly features improve efficiency, although compatibility with other tools needs enhancement. The platform significantly reduces operational time and costs. |
| Senior Data Archirect at Yettel | 5.0 | I use Oracle Data Integrator for our data warehouse integration. It's a powerful tool, surpassing previous solutions like Amazon Redshift and Informatica. However, I find the error handling in parallel load plan executions could be improved. |
| Technical lead at a transportation company with 10,001+ employees | 3.5 | I use ODI for data warehousing, valuing its strong integration and stability. I find real-time integration and broader publisher support need improvement. Setup was straightforward, and pricing is good, but technical support could be better. |
| Founder at DEN21DS | 4.5 | ODI excels in data integration across diverse sources with efficient metadata handling, offering fast staging and data mark building. It could improve by enhancing feature streamlining and integration with other tools and focusing on consistent software quality and fixes. |