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Compare Apache Kafka and Red Hat OpenShift Streams for Apache Kafka 
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At a Glance
Market Segments
Enterprise (47.5% of reviews)
Small-Business (42.3% 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 KafkaRed Hat OpenShift Streams for Apache Kafka
Star Rating
(26)4.4 out of 5
Market Segments
Small-Business (42.3% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Red Hat OpenShift Streams for Apache KafkaSummary
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, Red Hat OpenShift Streams for Apache Kafka scores 8.5 in this area, indicating it may not be as robust for real-time needs.
- Reviewers mention that Apache Kafka has a higher rating for data processing at 8.9 compared to Red Hat's 8.3, suggesting that users find Kafka more efficient in handling large volumes of data seamlessly.
- G2 users highlight that the quality of support for Red Hat OpenShift Streams is rated significantly higher at 9.0, while Apache Kafka's support is rated at 7.7. This indicates that users may find Red Hat's customer service more responsive and helpful.
- Users on G2 report that Apache Kafka has a better score for ease of use at 8.6, while Red Hat OpenShift Streams scores slightly lower at 8.4. This suggests that users may find Kafka more intuitive for everyday operations.
- Reviewers mention that Red Hat OpenShift Streams for Apache Kafka shines in reporting and analytics with a score of 8.7, compared to Apache Kafka's 8.3. This indicates that users may prefer Red Hat for its advanced analytics capabilities.
- Users say that while both products offer strong integration capabilities, Apache Kafka's integration score is 8.9, matching Red Hat's score, but users report that Kafka's flexibility in application integration is often highlighted as a key advantage.
Pricing
Entry-Level Pricing
Apache Kafka
No pricing availableRed Hat OpenShift Streams for Apache Kafka
No pricing availableFree Trial
Apache Kafka
No trial information availableRed Hat OpenShift Streams for Apache Kafka
No trial information availableRatings
Meets Requirements
8.9
90
8.7
21
Ease of Use
8.6
90
8.4
23
Ease of Setup
8.0
28
8.5
10
Ease of Admin
7.8
24
7.8
9
Quality of Support
7.8
81
9.0
21
Has the product been a good partner in doing business?
8.3
20
9.2
10
Product Direction (% positive)
8.8
87
8.3
21
Features by Category
Data
8.8
33
8.3
18
8.7
35
8.6
18
8.9
35
8.9
19
9.0
35
8.5
19
Analytics
8.3
31
8.7
17
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 Red Hat OpenShift Streams for Apache Kafka are categorized as Event Stream Processing
Unique Categories
Apache Kafka is categorized as Message Queue (MQ) and Stream Analytics
Red Hat OpenShift Streams for Apache Kafka has no unique categories
Reviews
Reviewers' Company Size
Apache Kafka
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Red Hat OpenShift Streams for Apache Kafka
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
23.1%
Information Technology and Services
15.4%
Computer & Network Security
11.5%
Telecommunications
7.7%
Retail
3.8%
Other
38.5%
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
Red Hat OpenShift Streams for Apache Kafka has no discussions with answers
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