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Compare Apache Kafka and KubeMQ 
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At a Glance
Market Segments
Enterprise (47.5% of reviews)
Small-Business (90.9% of reviews)
Entry-Level Pricing
No pricing available
Contact Us 5 Kubernetes clusters Per Year
Apache Kafka
Star Rating
(125)4.5 out of 5
Market Segments
Enterprise (47.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Apache KafkaKubeMQ
Star Rating
(12)4.5 out of 5
Market Segments
Small-Business (90.9% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
Contact Us 5 Kubernetes clusters Per Year
Browse all 2 pricing plansSummary
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 high throughput and low latency. In contrast, KubeMQ also performs well in this area with a score of 9.2, but reviewers mention that its cloud-based messaging capabilities are particularly strong, scoring 9.0.
- Reviewers mention that while both products support asynchronous messaging effectively, KubeMQ has a slight edge with a score of 9.2 compared to Kafka's 9.0. Users appreciate KubeMQ's ease of use, reflected in its higher score of 9.0 for this criterion.
- G2 users highlight that Apache Kafka's integration capabilities are robust, scoring 8.9, which is crucial for enterprises needing to connect various data sources. However, KubeMQ's application integration score of 8.9 indicates it also offers strong support for connecting with other applications, making it a viable option for small businesses.
- Users on G2 report that Kafka's performance and reliability score of 8.9 is a significant factor for enterprises, as it ensures consistent data flow. Conversely, KubeMQ's performance is also commendable, but some users mention that its latency score of 9.2 is particularly impressive for real-time applications.
- Reviewers mention that Apache Kafka's quality of support, with a score of 7.7, could be improved, especially for new users. In contrast, KubeMQ shines in this area with a score of 9.0, indicating a more responsive support team that users find helpful during setup and troubleshooting.
- Users say that while both products have strong data processing capabilities, Apache Kafka's score of 8.9 is indicative of its maturity and extensive use in large-scale applications. KubeMQ, while newer, is praised for its user-friendly interface and cloud-based features, making it appealing for small businesses looking for ease of setup and management.
Pricing
Entry-Level Pricing
Apache Kafka
No pricing availableKubeMQ
Professional
Contact Us
5 Kubernetes clusters Per Year
- Pricing Per Kubernetes Cluster
- Unlimited KubeMQ clusters/nodes
- Unlimited messages/connections
Free Trial
Apache Kafka
No trial information availableKubeMQ
Free Trial is available
Ratings
Meets Requirements
8.9
90
8.5
10
Ease of Use
8.6
90
9.0
10
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
10
Has the product been a good partner in doing business?
8.3
20
Not enough data
Product Direction (% positive)
8.8
87
7.4
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
9.2
6
8.5
49
8.0
5
8.3
45
9.0
5
8.1
49
9.2
6
Integration
8.8
51
8.9
6
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 KubeMQ are categorized as Message Queue (MQ)
Unique Categories
Apache Kafka is categorized as Event Stream Processing and Stream Analytics
KubeMQ has no unique categories
Reviews
Reviewers' Company Size
Apache Kafka
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
KubeMQ
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%
Computer Software
36.4%
Marketing and Advertising
9.1%
Management Consulting
9.1%
Health, Wellness and Fitness
9.1%
Electrical/Electronic Manufacturing
9.1%
Other
27.3%
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
KubeMQ has no discussions with answers
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