Users report that Apache NiFi excels in data extraction capabilities, with a score of 9.5, highlighting its robust support for various data sources and formats, making it a preferred choice for complex data ingestion tasks.
Reviewers mention that Azure Data Factory shines in its loading functionality, scoring 9.4, particularly praising its seamless integration with Azure services and the ability to handle large-scale data loads efficiently.
G2 users indicate that while both products have similar transformation capabilities, Apache NiFi's user-friendly interface for building data flows is a standout feature, allowing for easier manipulation of data pipelines.
Users on G2 report that Azure Data Factory's automation features, scoring 9.2, are highly regarded for their scheduling and orchestration capabilities, which streamline data workflows and reduce manual intervention.
Reviewers mention that Apache NiFi's scalability, with a score of 8.3, can be a limitation in very large enterprise environments, whereas Azure Data Factory's scalability, scoring 9.3, is often highlighted as a strong point, especially for organizations looking to scale their data operations.
Users say that the quality of support for Azure Data Factory, rated at 8.8, is generally perceived as superior, with many reviewers appreciating the responsiveness and helpfulness of the support team compared to Apache NiFi's score of 7.5.
Pricing
Entry-Level Pricing
Apache NiFi
No pricing available
Azure Data Factory
No pricing available
Free Trial
Apache NiFi
No trial information available
Azure Data Factory
No trial information available
Ratings
Meets Requirements
9.3
21
9.2
65
Ease of Use
8.3
20
8.9
66
Ease of Setup
8.7
9
9.2
31
Ease of Admin
8.5
9
8.6
23
Quality of Support
7.4
17
8.8
60
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