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.
Pricing
Entry-Level Pricing
Azure Data Factory
No pricing available
Oracle Data Integrator
No pricing available
Free Trial
Azure Data Factory
No trial information available
Oracle Data Integrator
No trial information available
Ratings
Meets Requirements
9.2
65
8.6
12
Ease of Use
8.9
66
8.2
12
Ease of Setup
9.2
31
6.2
7
Ease of Admin
8.6
23
7.6
7
Quality of Support
8.8
60
8.2
11
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