Users report that Apache Kafka excels in real-time processing with a score of 9.1, making it a preferred choice for applications requiring immediate data handling. In contrast, Azure Queue Storage, while effective, scores lower at 8.3 for asynchronous messaging, indicating it may not be as robust for real-time needs.
Reviewers mention that Apache Kafka's integration capabilities are strong, scoring 8.9, which is crucial for enterprises needing to connect various data sources seamlessly. Azure Queue Storage, however, scores slightly lower at 8.6, suggesting it may not offer the same level of flexibility in application integration.
G2 users highlight that Azure Queue Storage shines in ease of setup and administration, with scores of 9.4, making it user-friendly for teams looking to implement a messaging solution quickly. Conversely, Apache Kafka's setup and admin scores are lower at 7.8 and 7.7, respectively, indicating a steeper learning curve.
Reviewers mention that Apache Kafka provides robust data processing capabilities with a score of 8.9, which is essential for handling large volumes of data efficiently. Azure Queue Storage, while effective, does not match this level of performance, reflecting a more basic data handling approach.
Users on G2 report that Azure Queue Storage offers better security monitoring features, scoring 8.8 compared to Apache Kafka's 8.1. This could be a deciding factor for organizations prioritizing security in their messaging solutions.
Reviewers say that while both products have strong cloud-based messaging capabilities, Azure Queue Storage scores higher at 9.2, indicating a more seamless experience for users operating in cloud environments compared to Apache Kafka's score of 8.4.
Pricing
Entry-Level Pricing
Apache Kafka
No pricing available
Azure Queue Storage
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Free Trial
Apache Kafka
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Azure Queue Storage
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Ratings
Meets Requirements
8.9
90
8.5
9
Ease of Use
8.6
90
8.5
9
Ease of Setup
8.0
28
Not enough data
Ease of Admin
7.8
24
Not enough data
Quality of Support
7.8
81
8.5
9
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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