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Compare Apache Kafka and Azure Event Hubs 
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At a Glance
Market Segments
Enterprise (47.5% of reviews)
Small-Business (66.7% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Apache Kafka
Star Rating
(125)4.5 out of 5
Market Segments
Enterprise (47.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Apache KafkaAzure Event Hubs
Star Rating
(13)4.2 out of 5
Market Segments
Small-Business (66.7% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Azure Event HubsSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- 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 Event Hubs, while still effective, does not match this level of performance.
- Reviewers mention that Apache Kafka's asynchronous messaging capabilities are rated at 9.0, which is particularly beneficial for high-throughput scenarios. Azure Event Hubs, with a score of 8.4 for cloud-based messaging, offers solid performance but lacks the same level of flexibility in messaging patterns.
- G2 users highlight that Apache Kafka has a robust integration capability with a score of 8.9, allowing seamless connections with various data sources. Azure Event Hubs, while also strong in integration at 8.4, may not support as many plugins and integrations as Kafka does.
- Users on G2 report that the quality of support for Azure Event Hubs is rated higher at 9.0 compared to Apache Kafka's 7.7, indicating that users may find more responsive assistance when using Azure's platform.
- Reviewers mention that Apache Kafka's performance and reliability score of 8.9 is a significant advantage for enterprises that require consistent uptime and data integrity. Azure Event Hubs, while reliable, does not quite reach this level of assurance.
- Users say that the ease of use for Apache Kafka is rated at 8.6, which is slightly higher than Azure Event Hubs' 8.3. This suggests that users may find Kafka's interface and functionality more intuitive, especially for complex data streaming tasks.
Pricing
Entry-Level Pricing
Apache Kafka
No pricing availableAzure Event Hubs
No pricing availableFree Trial
Apache Kafka
No trial information availableAzure Event Hubs
No trial information availableRatings
Meets Requirements
8.9
90
9.2
8
Ease of Use
8.6
90
8.3
8
Ease of Setup
8.0
28
Not enough data
Ease of Admin
7.8
24
Not enough data
Quality of Support
7.8
81
9.0
7
Has the product been a good partner in doing business?
8.3
20
Not enough data
Product Direction (% positive)
8.8
87
8.7
9
Features by Category
Data
8.8
33
Not enough data
8.7
35
Not enough data
8.9
35
Not enough data
9.0
35
Not enough data
Analytics
8.3
31
Not enough data
Functionality
8.9
52
Not enough data
8.5
49
Not enough data
8.3
45
Not enough data
8.1
49
Not enough data
Integration
8.8
51
Not enough data
8.4
47
Not enough data
8.1
46
Not enough data
Management
8.2
42
Not enough data
8.0
42
Not enough data
8.3
43
Not enough data
Agentic AI - Message Queue (MQ)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Apache Kafka and Azure Event Hubs are categorized as Stream Analytics
Unique Categories
Apache Kafka is categorized as Message Queue (MQ) and Event Stream Processing
Azure Event Hubs has no unique categories
Reviews
Reviewers' Company Size
Apache Kafka
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Azure Event Hubs
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
25.0%
Information Technology and Services
18.3%
Financial Services
8.3%
Banking
5.8%
Retail
4.2%
Other
38.3%
Marketing and Advertising
16.7%
Entertainment
16.7%
Public Relations and Communications
8.3%
Information Technology and Services
8.3%
Hospital & Health Care
8.3%
Other
41.7%
Alternatives
Discussions
What is Apache Kafka used for?
2 Comments
RS
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
Azure Event Hubs has no discussions with answers
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