Users report that Confluent excels in real-time data collection with a score of 9.0, highlighting its robust capabilities in handling streaming data efficiently, while Spark Streaming, although strong, does not match this level of performance.
Reviewers mention that Spark Streaming shines in data processing with a score of 9.2, indicating its effectiveness in processing large volumes of data quickly, whereas Confluent scores slightly lower at 8.7, suggesting it may not be as optimized for certain high-throughput scenarios.
G2 users note that Confluent has a higher quality of support rated at 8.3, which is crucial for enterprises needing reliable assistance, while Spark Streaming's support is rated higher at 8.7, indicating a more favorable experience for users seeking help.
Users on G2 highlight that Confluent's integration capabilities are rated at 8.8, making it a strong choice for organizations looking to connect various data sources seamlessly, while Spark Streaming matches this score, indicating both products are competitive in this area.
Reviewers say that Confluent's product direction is rated at 8.9, suggesting a positive outlook for future developments, while Spark Streaming leads with a score of 9.3, indicating a stronger commitment to innovation and enhancements.
Users report that Confluent's ease of setup is rated at 8.2, which is favorable, but Spark Streaming's lower score of 7.6 suggests that users may face more challenges during initial implementation.
Pricing
Entry-Level Pricing
Confluent
No pricing available
Spark Streaming
No pricing available
Free Trial
Confluent
Free Trial is available
Spark Streaming
No trial information available
Ratings
Meets Requirements
8.7
87
9.0
29
Ease of Use
8.4
88
8.2
29
Ease of Setup
8.2
38
7.6
9
Ease of Admin
8.1
38
8.0
9
Quality of Support
8.3
81
8.7
26
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