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- Red Hat OpenShift Streams for Apache Kafka
- Confluent-vs-Red Hat OpenShift Streams for Apache Kafka
Compare Confluent and Red Hat OpenShift Streams for Apache Kafka 
At a Glance
Market Segments
Enterprise (35.2% of reviews)
Small-Business (42.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Confluent
Star Rating
(111)4.4 out of 5
Market Segments
Enterprise (35.2% of reviews)
Entry-Level Pricing
No pricing available
Learn more about ConfluentRed 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 Confluent excels in real-time processing with a score of 9.0, which reviewers mention is crucial for applications requiring immediate data insights. In contrast, Red Hat OpenShift Streams for Apache Kafka has a lower score of 8.5 in this area, indicating it may not be as robust for real-time analytics.
- Reviewers mention that Confluent's integration capabilities are highly rated at 8.8, particularly for its seamless connection with various data sources. On the other hand, Red Hat OpenShift Streams for Apache Kafka scores slightly higher at 8.9, suggesting it may offer a more extensive range of integration options.
- Users on G2 highlight that Confluent's quality of support is rated at 8.3, which is commendable, but Red Hat OpenShift Streams for Apache Kafka shines with a higher score of 9.0, indicating a more responsive and helpful support team according to user feedback.
- Reviewers say that Confluent's ease of setup is rated at 8.2, which some users find satisfactory, but Red Hat OpenShift Streams for Apache Kafka scores better at 8.5, suggesting a more user-friendly installation process.
- G2 users report that Confluent's real-time analytics feature is rated at 8.9, which is praised for its effectiveness in delivering actionable insights. In comparison, Red Hat OpenShift Streams for Apache Kafka has a slightly lower score of 8.7, indicating it may not be as strong in this specific functionality.
- Users say that Confluent's data transformation capabilities are rated at 8.1, which some find adequate, but Red Hat OpenShift Streams for Apache Kafka stands out with a higher score of 8.8, suggesting it offers more advanced features for transforming data efficiently.
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Pricing
Entry-Level Pricing
Confluent
No pricing availableRed Hat OpenShift Streams for Apache Kafka
No pricing availableFree Trial
Confluent
Free Trial is available
Red Hat OpenShift Streams for Apache Kafka
No trial information availableRatings
Meets Requirements
8.7
86
8.7
21
Ease of Use
8.4
87
8.4
23
Ease of Setup
8.2
37
8.5
10
Ease of Admin
8.1
37
7.8
9
Quality of Support
8.3
80
9.0
21
Has the product been a good partner in doing business?
8.5
34
9.2
10
Product Direction (% positive)
8.9
87
8.3
21
Features by Category
Data
8.7
62
8.3
18
8.8
58
8.6
18
8.8
62
8.9
19
9.0
62
8.5
19
Analytics
8.3
56
8.7
17
Database
9.0
18
Not enough data
8.7
17
Not enough data
8.3
15
Not enough data
Integrations
8.3
12
Not enough data
8.2
14
Not enough data
Platform
8.2
17
Not enough data
7.8
16
Not enough data
8.2
14
Not enough data
Processing
8.2
16
Not enough data
8.3
17
Not enough data
Data Transformation
8.9
22
|
Verified
Not enough data
8.4
20
|
Verified
Not enough data
Connectivity
8.2
17
|
Verified
Not enough data
8.6
19
|
Verified
Not enough data
8.3
22
|
Verified
Not enough data
8.1
19
|
Verified
Not enough data
Operations
8.3
22
|
Verified
Not enough data
7.9
21
|
Verified
Not enough data
8.2
18
|
Verified
Not enough data
Feature Not Available
Not enough data
Feature Not Available
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
Confluent and Red Hat OpenShift Streams for Apache Kafka are categorized as Event Stream Processing
Unique Categories
Confluent is categorized as Stream Analytics, Big Data Processing and Distribution, and Big Data Analytics
Red Hat OpenShift Streams for Apache Kafka has no unique categories
Reviews
Reviewers' Company Size
Confluent
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
21.3%
Information Technology and Services
15.7%
Financial Services
13.9%
Retail
5.6%
Banking
5.6%
Other
38.0%
Computer Software
23.1%
Information Technology and Services
15.4%
Computer & Network Security
11.5%
Telecommunications
7.7%
Retail
3.8%
Other
38.5%
Most Helpful Reviews
Confluent
Most Helpful Favorable Review
Verified User in Environmental Services
Confluent provides a platform to easily develop an event driven applications using Apache Kakfa. I like how it also allows for data seamless data integration between on prem and cloud data and how I can either join or transform my data quite easily.
Most Helpful Critical Review
Nicolas E.
Verified User in Higher Education
The cost is a bit prohibitive for the pay per use cluster since ksqldb creates so many internal topics (changelogs, repartitions) and the pricing for managed ksqldb is very constraining, and UDFs are not supported.
Red Hat OpenShift Streams for Apache Kafka
Most Helpful Favorable Review
balaram m.
Verified User in Capital Markets
Serverless Operator, Knative Eventing, and the KnativeKafka custom resource installed on web cluster.
Most Helpful Critical Review
Angad B.
Verified User in Health, Wellness and Fitness
Difficult to understand and implement. It's working fine.
Verified User in Environmental Services
Confluent provides a platform to easily develop an event driven applications using Apache Kakfa. I like how it also allows for data seamless data integration between on prem and cloud data and how I can either join or transform my data quite easily.
balaram m.
Verified User in Capital Markets
Serverless Operator, Knative Eventing, and the KnativeKafka custom resource installed on web cluster.
Nicolas E.
Verified User in Higher Education
The cost is a bit prohibitive for the pay per use cluster since ksqldb creates so many internal topics (changelogs, repartitions) and the pricing for managed ksqldb is very constraining, and UDFs are not supported.
Angad B.
Verified User in Health, Wellness and Fitness
Difficult to understand and implement. It's working fine.
Alternatives
Discussions
Confluent has no discussions with answers
Red Hat OpenShift Streams for Apache Kafka has no discussions with answers
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