

Oracle Data Integrator and Azure Data Factory compete in the data integration and transformation category. Azure Data Factory seems to have the upper hand due to its ease of use and strong integration capabilities within the Azure ecosystem.
Features: Oracle Data Integrator provides extensive data transformation capabilities, supports various scripting languages, and integrates with numerous data sources including cloud and big data environments. Its Knowledge Modules facilitate reusable coding, enhancing flexibility and performance. Azure Data Factory offers ease of use and scalability with strong integration within the Azure ecosystem, supporting over 100 connectors and featuring a user-friendly interface for pipelines. It shines in its drag-and-drop features and seamless Azure services integration.
Room for Improvement: Oracle Data Integrator could improve its interface, error handling, and integration with Oracle's ecosystem. Users experience a steep learning curve and need better multi-user support and version control. Azure Data Factory requires better error handling, clearer pricing, and enhanced real-time data processing. It could benefit from more integration with non-Azure services and improved custom transformations support.
Ease of Deployment and Customer Service: Oracle Data Integrator is primarily on-premises and requires significant effort to set up. Customer service has mixed reviews, with swift resolutions for simple issues but challenges with complex scenarios. Azure Data Factory, suitable for public and hybrid cloud, offers straightforward deployment with pay-as-you-go pricing. Microsoft support is generally positive, but complex configurations present challenges.
Pricing and ROI: Oracle Data Integrator is costlier, suitable for larger enterprises with comprehensive licensing and potential for expensive implementations, yet offers good ROI if utilized correctly. Azure Data Factory provides transparent pay-as-you-go pricing, considered affordable and competitive. While users find its flexibility beneficial, they report difficulty understanding costs without prior experience.
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 | 3.0% |
| Oracle Data Integrator (ODI) | 2.2% |
| Other | 94.8% |


| 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.