Users report that Confluent excels in real-time data collection with a score of 9.0, while Google Cloud Dataflow has a lower score of 8.3, indicating that Confluent may be more effective for applications requiring immediate data insights.
Reviewers mention that Google Cloud Dataflow shines in data processing with a score of 9.7, surpassing Confluent's score of 8.7, suggesting that Dataflow may handle large-scale data transformations more efficiently.
G2 users highlight that Confluent offers superior integration capabilities with Hadoop and Spark, scoring 8.3 and 8.2 respectively, while Google Cloud Dataflow struggles in this area with scores of 6.9 for both, indicating a potential limitation for users needing robust integration with these frameworks.
Users on G2 report that Confluent has a slightly better ease of use rating at 8.4 compared to Google Cloud Dataflow's 7.9, suggesting that Confluent may provide a more user-friendly experience for those new to data streaming technologies.
Reviewers mention that Google Cloud Dataflow has a higher score in workload processing at 9.2 compared to Confluent's 8.3, indicating that Dataflow may be better suited for handling diverse and complex workloads efficiently.
Users say that both platforms have comparable quality of support, each scoring 8.3, but Confluent's overall product direction score of 8.9 suggests a more positive outlook for future enhancements compared to Dataflow's 9.2, which may influence long-term user satisfaction.
Pricing
Entry-Level Pricing
Confluent
No pricing available
Google Cloud Dataflow
No pricing available
Free Trial
Confluent
Free Trial is available
Google Cloud Dataflow
No trial information available
Ratings
Meets Requirements
8.7
87
9.0
24
Ease of Use
8.4
88
8.1
24
Ease of Setup
8.2
38
7.9
7
Ease of Admin
8.1
38
8.0
5
Quality of Support
8.3
81
8.3
21
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