Users report that Hadoop HDFS excels in data distribution with a score of 9.1, making it a strong choice for organizations needing to manage large datasets across multiple nodes. In contrast, Confluent scores 8.7 in this area, indicating it may not be as robust for extensive data distribution needs.
Reviewers mention that Confluent shines in real-time data collection, achieving a score of 9.0, which is higher than Hadoop HDFS's score of 8.5. This makes Confluent a better option for businesses that require immediate data insights and processing.
G2 users highlight that Hadoop HDFS has superior integration capabilities with a score of 9.1 for Hadoop integration, while Confluent scores 8.3. This suggests that users looking for seamless integration with Hadoop ecosystems may prefer HDFS.
Users on G2 report that Confluent offers better ease of use with a score of 8.4 compared to Hadoop HDFS's 7.5. This indicates that Confluent may be more user-friendly, making it suitable for teams with less technical expertise.
Reviewers mention that Hadoop HDFS has a strong performance and reliability score of 8.4, while Confluent outperforms it slightly with a score of 8.8. This suggests that Confluent may provide a more stable experience for critical applications.
Users say that Confluent's quality of support is rated higher at 8.3 compared to Hadoop HDFS's 7.8, indicating that users may find better assistance and resources when using Confluent for their data streaming needs.
Pricing
Entry-Level Pricing
Confluent
No pricing available
Hadoop HDFS
No pricing available
Free Trial
Confluent
Free Trial is available
Hadoop HDFS
No trial information available
Ratings
Meets Requirements
8.7
87
8.6
118
Ease of Use
8.4
88
7.5
120
Ease of Setup
8.2
38
6.9
47
Ease of Admin
8.1
38
7.1
44
Quality of Support
8.3
81
7.8
103
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