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- Azure Data Factory-vs-Oracle Data Integrator
Compare Azure Data Factory and Oracle Data Integrator 
- Users report that Azure Data Factory excels in its ease of setup, scoring 9.0 compared to Oracle Data Integrator's 6.2, making it a preferred choice for teams looking to implement data integration solutions quickly.
- Reviewers mention that Azure Data Factory's automation capabilities are highly rated at 9.2, with features like pipeline scheduling and trigger-based execution, which streamline workflows significantly compared to Oracle Data Integrator's lower automation score of 8.4.
- G2 users highlight Azure Data Factory's superior extraction capabilities, scoring 9.1, particularly praising its integration with various data sources and services, while Oracle Data Integrator, although competent, does not match this level of versatility.
- Users on G2 appreciate Azure Data Factory's transformation features, which received a score of 9.3, noting the intuitive data flow design and built-in data transformation activities, whereas Oracle Data Integrator's transformation capabilities are rated lower at 8.6, with some users finding them less user-friendly.
- Reviewers say that Azure Data Factory's scalability is a standout feature, scoring 9.3, allowing businesses to handle increasing data volumes seamlessly, while Oracle Data Integrator, with a score of 8.5, has been reported to face challenges in scaling efficiently for larger enterprises.
- Users report that Azure Data Factory's quality of support is rated at 8.8, with many praising the responsiveness and helpfulness of the support team, while Oracle Data Integrator's support, rated at 8.2, has received mixed reviews regarding response times and issue resolution.
The best features according to me are Hybrid Data Integration, Data Movement, Orchestration and Scheduling and Integration with other Azure Services.
SOmetimes it becomes difficult to comprehend the errors due to which the data pipeline fails. Even after looking on internet doesn't help so may be the error message can be improved which helps users to comprehend and easily resolve it.
Easy to use. Works with the cloud services. I like the data integration. I like that it can be monitored from a single solution along with other Oracle technologies and applications.
The development experience on odi is very complex in comparison to modern technologies like Informatica Cloud or powercenter as well. There too much of code complexity as well when developing even a simple project with odi. Also the setup process and...
The best features according to me are Hybrid Data Integration, Data Movement, Orchestration and Scheduling and Integration with other Azure Services.
Easy to use. Works with the cloud services. I like the data integration. I like that it can be monitored from a single solution along with other Oracle technologies and applications.
SOmetimes it becomes difficult to comprehend the errors due to which the data pipeline fails. Even after looking on internet doesn't help so may be the error message can be improved which helps users to comprehend and easily resolve it.
The development experience on odi is very complex in comparison to modern technologies like Informatica Cloud or powercenter as well. There too much of code complexity as well when developing even a simple project with odi. Also the setup process and...
