Users report that Apache NiFi excels in its data extraction capabilities, with a score of 9.5, allowing for seamless integration with various data sources. Reviewers mention that its drag-and-drop interface simplifies the process of building data flows.
Reviewers mention that Informatica Data Engineering shines in its transformation functionalities, scoring 9.3, which is particularly beneficial for complex data manipulation tasks. Users on G2 appreciate the robust set of transformation functions available, making it easier to handle intricate data workflows.
G2 users highlight that Apache NiFi's automation features, rated at 9.3, enable users to set up automated data flows efficiently. Users say that the ability to schedule and trigger data flows based on events is a significant advantage for real-time data processing.
Users report that Informatica Data Engineering has a higher quality of support, with a score of 8.6, compared to Apache NiFi's 7.5. Reviewers mention that the support team is responsive and knowledgeable, which is crucial for enterprises relying on timely assistance.
Reviewers mention that Apache NiFi's scalability, rated at 8.3, can be a limitation for larger enterprises, as some users have experienced challenges when scaling up their data flows. In contrast, users on G2 report that Informatica Data Engineering handles large-scale data operations more effectively.
Users say that while both products have strong reporting capabilities, Apache NiFi's reporting score of 9.3 is particularly praised for its real-time monitoring features, allowing users to visualize data flows and performance metrics easily, which is essential for operational oversight.
Pricing
Entry-Level Pricing
Apache NiFi
No pricing available
Informatica Data Engineering
No pricing available
Free Trial
Apache NiFi
No trial information available
Informatica Data Engineering
No trial information available
Ratings
Meets Requirements
9.3
21
8.9
6
Ease of Use
8.3
20
8.9
6
Ease of Setup
8.7
9
Not enough data
Ease of Admin
8.5
9
Not enough data
Quality of Support
7.4
17
8.6
6
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