Users report that Apache Flink excels in real-time processing capabilities, with a score of 9.1, making it a preferred choice for applications requiring immediate data insights. In contrast, Apache Kafka, while strong in messaging, does not focus as heavily on real-time analytics.
Reviewers mention that Apache Flink's data processing score of 8.9 highlights its robust capabilities in handling complex event processing, whereas Apache Kafka, with a slightly lower emphasis on data processing, is primarily recognized for its messaging and streaming functionalities.
G2 users indicate that Apache Flink's integration capabilities, scoring 8.9, allow for seamless connections with various data sources, which is crucial for enterprises looking to unify their data streams. Conversely, Apache Kafka, while also strong in integration, scores slightly lower at 8.4, suggesting it may not be as versatile in this area.
Users on G2 report that Apache Flink's asynchronous messaging feature, rated at 9.0, provides a significant advantage for applications that require non-blocking communication, while Apache Kafka's messaging capabilities, although solid, do not match the same level of flexibility.
Reviewers mention that Apache Flink's product direction is rated at a perfect 10.0, indicating strong confidence in its future development and support, while Apache Kafka, with a score of 8.7, still shows promise but may not inspire the same level of assurance among users.
Users say that the quality of support for Apache Flink, rated at 8.3, is generally viewed as responsive and helpful, while Apache Kafka's support, with a score of 7.7, has received mixed reviews, suggesting that users may experience variability in assistance.
Pricing
Entry-Level Pricing
Apache Flink
No pricing available
Apache Kafka
No pricing available
Free Trial
Apache Flink
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Apache Kafka
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Ratings
Meets Requirements
9.6
12
8.9
90
Ease of Use
8.6
12
8.6
90
Ease of Setup
Not enough data
8.0
28
Ease of Admin
Not enough data
7.8
24
Quality of Support
8.3
11
7.8
81
Has the product been a good partner in doing business?
I am using Apache Kafka for event Processing. We use it to capture the new events generated by our application in our database. Currently, Kafka streams is...Read more
What is the maximum limit of the number of partitions in a Kafka topic?
1 Comment
CT
The answer is closely related to the version of the Kafka broker that you are running. A reasonably up to date cluster can hold up to 4,000 partitions per...Read more
What is Apache Kafka used for?
1 Comment
DV
It used this Mnemonic to remember what kafka is and what it is used for -
S - Stream Data in Real-Time:
Handles and processes live data (e.g., Uber car...Read more
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