

Oracle Data Integrator and Oracle Integration Cloud Service both compete in the data integration sector. Based on the analysis, Oracle Integration Cloud Service appears to have the upper hand due to its cloud-based integration capabilities and ease of use.
Features: Oracle Data Integrator is noted for its complex data integration process logic, reusable mappings, and design-time automation. It offers powerful data transformation capabilities suited for complex data tasks. Conversely, Oracle Integration Cloud Service excels with a wide range of adapters, a user-friendly integration process, and seamless connectivity with cloud and on-premise applications, focusing on simplicity and speed.
Room for Improvement: Oracle Data Integrator needs better export/import features, improved error handling, enhanced GUI capabilities, and stronger multiuser environment support. Oracle Integration Cloud Service requires improvements in B2B integration, performance handling, message size limits, and more intuitive dashboards.
Ease of Deployment and Customer Service: Oracle Data Integrator primarily focuses on on-premises deployment, requiring considerable setup and configuration. Customer service varies with problem complexity. Oracle Integration Cloud Service operates in the cloud, offering easy deployment and extensive cloud support, with generally responsive technical support.
Pricing and ROI: Oracle Data Integrator has a higher cost, potentially less viable for small businesses, but offers good ROI if well-implemented. Oracle Integration Cloud Service offers competitive, flexible pricing, with a pay-as-you-go model advantageous for large integrations. Both require careful licensing consideration for cost optimization.
The technical support of Oracle is very good; they support the Oracle Data Integrator (ODI) solution effectively.
I can get solutions quickly, and any tickets I submit to Oracle are responded to and resolved rapidly.
The customer support for Oracle Integration Cloud Service is accessible through Service Requests (SR) for unknown problems, with a response expected within 24 hours.
I find the technical support from Oracle to be good.
The scalability and the ability to handle multiple workloads of several parallel ETL jobs could use improvement.
In terms of performance stability, I have not experienced any downtimes, crashes, or performance issues with the Oracle Data Integrator (ODI).
Oracle has provided some fixes, and in my last two to three large engagements, we haven't faced any major challenges with the product.
The reliability of Oracle Integration Cloud Service is strong.
The solution is stable.
Integrating AI with ODI that provides recommendations on how to fix those data quality issues after analyzing and profiling business data would be excellent.
If I use a source system like Oracle and a target system like Teradata, ODI will still run, but it struggles a bit with different infrastructures.
Adding AI capabilities would make Oracle Data Integrator (ODI) even better.
Setup and deployment can be done in OCI, the Oracle Cloud Infrastructure, allowing for role-based access and configuration, managing access levels for Oracle Integration Cloud Service environments such as Dev, Test, and Production.
Most large customers use multiple clouds, and Oracle's partnership with Azure and other hyperscalers needs additional development on the Integration Cloud Service side.
The mapping is a bit complex, so configuration is not very easy for a new user.
ODI is cheaper compared to Informatica PowerCenter and IBM DataStage.
The pricing aspect of Oracle Data Integrator (ODI) is reasonable; it brings significant value to the table.
If integration points exceed 30, I recommend that customers use Oracle Integration Cloud Service as it becomes cost-effective with its pay-as-you-use model and multiple available packages.
Oracle Integration Cloud Service's pricing is affordable and reasonable considering its facilities.
The main benefits that Oracle Data Integrator (ODI) brings to the table include data quality, data completeness functionality, metadata management, and the reverse engineering feature, which allows integrating the metadata of diversified data sources with a single click.
Oracle Data Integrator (ODI)'s ELT architecture has helped optimize my data movement and transformation significantly.
Oracle Data Integrator (ODI) is powerful and strong if my system uses Oracle components for environments like OLTP, enterprise data warehouse, or data marts.
Oracle Integration Cloud Service offers capabilities for data customization and validation, handling different date formats, and API calls using REST and SOAP.
Additionally, it provides a wide variety of built-in adapters for many cloud providers, such as Azure Blob and AWS S3.
Oracle Integration Cloud Service makes it simple to connect any third-party products, and Oracle is key for adding pre-built APIs.
| Product | Mindshare (%) |
|---|---|
| Oracle Data Integrator (ODI) | 2.5% |
| SSIS | 3.7% |
| Informatica Intelligent Data Management Cloud (IDMC) | 3.6% |
| Other | 90.2% |
| Product | Mindshare (%) |
|---|---|
| Oracle Integration Cloud Service | 3.7% |
| Boomi iPaaS | 7.2% |
| MuleSoft Anypoint Platform | 7.0% |
| Other | 82.1% |


| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 12 |
| Large Enterprise | 44 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 8 |
| Large Enterprise | 27 |
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.
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 Integration Cloud Service offers a user-friendly platform for seamless system integration, combining pre-built adapters and intuitive interfaces with robust performance, supporting REST and SOAP APIs for diverse environments.
Oracle Integration Cloud Service stands out for its comprehensive integration capabilities, allowing businesses to effortlessly connect systems like SAP and Salesforce using a low-code platform. Features include an intuitive drag-and-drop interface that simplifies orchestration across on-premises and cloud systems, complemented by extensive pre-built adapters. Users benefit from seamless integration through REST and SOAP API calls, supported by an insightful dashboard for effective monitoring and powerful security features such as OAuth. While the service offers predictable pricing and scalability, documentation and flexibility require attention. Challenges include handling legacy applications, architectural design, and multicloud integration.
What are the key features?Industries employ Oracle Integration Cloud Service extensively in financial, supply chain, and ERP implementations. Businesses utilize it for connecting databases, payment gateways, REST services, and enhancing system automation. Employing prebuilt adapters allows support for hybrid models, facilitating integration within both Oracle and non-Oracle environments, streamlining tasks for efficient operations.
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