

Oracle Data Integrator and Azure Data Factory both compete in the data integration market, focusing on providing solutions for complex and cloud-based data tasks. Oracle Data Integrator seems to have the upper hand due to its robust EL-T capabilities and extensive flexibility in handling complex data integrations.
Features: Oracle Data Integrator offers advanced capabilities like loading slowly changing dimensions, reusable mappings, and design-time automation. Its EL-T architecture leverages the database engine for transformations, reducing hardware needs. ODI integrates with various technologies, including RDBMS, Hadoop, and cloud services. In comparison, Azure Data Factory provides ease of use with an intuitive drag-and-drop interface. It integrates seamlessly within the Azure ecosystem for efficient cloud-based data transformations.
Room for Improvement: Oracle Data Integrator users have identified issues with its cumbersome GUI and steep learning curve. Improvements in error handling and better integration with Oracle products are suggested. Azure Data Factory faces criticism for lagging performance during heavy data processing and requires more advanced monitoring and debugging tools.
Ease of Deployment and Customer Service: Oracle Data Integrator supports various deployment environments, including on-premises and hybrid cloud. Customer service feedback is mixed, with challenges in support for complex issues involving Oracle products. Azure Data Factory is designed for cloud environments and integrates well with the Azure ecosystem. Customer service is generally responsive, but the complexity of Microsoft's offerings can complicate support.
Pricing and ROI: Oracle Data Integrator is considered expensive, justified by its comprehensive features for large enterprises. It offers positive ROI through automation and efficiency. Azure Data Factory's pay-as-you-go model is cost-effective for companies with varying usage needs. Despite some pricing complexity, its competitive costs and scalability options offer a favorable ROI, especially for businesses within the Microsoft ecosystem.
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
The technical support from Microsoft is rated an eight out of ten.
The technical support is responsive and helpful
The technical support for Azure Data Factory is generally acceptable.
I can get solutions quickly, and any tickets I submit to Oracle are responded to and resolved rapidly.
The technical support of Oracle is very good; they support the Oracle Data Integrator (ODI) solution effectively.
Azure Data Factory is highly scalable.
The scalability and the ability to handle multiple workloads of several parallel ETL jobs could use improvement.
The solution has a high level of stability, roughly a nine out of ten.
In terms of performance stability, I have not experienced any downtimes, crashes, or performance issues with the Oracle Data Integrator (ODI).
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
There is a problem with the integration with third-party solutions, particularly with SAP.
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.
It would be excellent not to have to go into different areas to perform different activities but rather have a user-defined interface where we can configure a job, run it, monitor it, link packages, and link subprocesses all in one frame.
The pricing is cost-effective.
It is considered cost-effective.
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.
It connects to different sources out-of-the-box, making integration much easier.
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
Regarding the integration feature in Azure Data Factory, the integration part is excellent; we have major source connectors, so we can integrate the data from different data sources and also perform basic transformation while transforming, which is a great feature in Azure Data Factory.
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) is powerful and strong if my system uses Oracle components for environments like OLTP, enterprise data warehouse, or data marts.
| Product | Market Share (%) |
|---|---|
| Azure Data Factory | 3.2% |
| Oracle Data Integrator (ODI) | 2.4% |
| Other | 94.4% |


| Company Size | Count |
|---|---|
| Small Business | 31 |
| Midsize Enterprise | 19 |
| Large Enterprise | 57 |
| Company Size | Count |
|---|---|
| Small Business | 25 |
| Midsize Enterprise | 12 |
| Large Enterprise | 43 |
Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.
Oracle Data Integrator (ODI) is a data integration software solution that provides a unified infrastructure to streamline data and application integration projects. It uses a powerful design approach to data integration, which separates the declarative rules from the implementation details. The solution is based on a unique ELT (Extract Load Transform) architecture, eliminating the need for a standalone ETL server and proprietary engine.
Oracle Data Integrator Features
ODI has many valuable key features. Some of the most useful ones include:
Oracle Data Integrator Benefits
There are many benefits to implementing ODI. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Below are some reviews and helpful feedback written by PeerSpot users currently using the Oracle Data Integrator (ODI) solution.
Brian D., Business Process and Strategy Specialist Advisor at NTTData, says, “The Knowledge Module (KM) is my favorite feature of ODI. This is where I learned how to use variables to make jobs dynamic. I took that knowledge and created a KM that would go into iTunes and pull the sales of eBooks. Making something that is reusable, like a KM, is important to not only reduce build time but also maintenance in the future.”
Ashok S., Applications Support Manager at a marketing services firm, mentions, "The most valuable features of ODI are the ease of development, you can have a template, and you can onboard transfer very quickly. There's a lot of knowledge modules available that we can use. If you want to connect, for example, a Sibyl, SQL, Oracle, or different products, we don't have to develop them from scratch. They are available, but if it's not, we can go into the marketplace and see if there's a connector there. Having the connector available reduces the amount of hard work needed. We only have to put the inputs and outputs. In some of the products, we use there is already integration available for ODI, which is helpful."
We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.