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- IBM Event Streams
- Red Hat OpenShift Streams for Apache Kafka
- IBM Event Streams-vs-Red Hat OpenShift Streams for Apache Kafka
Compare IBM Event Streams and Red Hat OpenShift Streams for Apache Kafka 
At a Glance
Market Segments
Enterprise (54.5% of reviews)
Small-Business (42.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
IBM Event Streams
Star Rating
(12)4.3 out of 5
Market Segments
Enterprise (54.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about IBM Event StreamsRed 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 IBM Event Streams excels in real-time processing with a perfect score of 10.0, making it a top choice for organizations that require immediate data handling. In contrast, Red Hat OpenShift Streams for Apache Kafka scores 8.5, indicating it may not be as robust in this critical area.
- Reviewers mention that IBM Event Streams has a higher ease of use rating at 9.5, which suggests that users find it more intuitive and user-friendly compared to Red Hat OpenShift Streams for Apache Kafka, which has a score of 8.4.
- G2 users highlight the superior quality of support for Red Hat OpenShift Streams for Apache Kafka, with a score of 9.0, compared to IBM Event Streams' score of 8.1. This indicates that users may find more reliable assistance when using Red Hat's product.
- Users on G2 appreciate the data processing capabilities of IBM Event Streams, which scored 9.2, while Red Hat OpenShift Streams for Apache Kafka received a lower score of 8.3. This suggests that IBM's solution may handle complex data tasks more effectively.
- Reviewers mention that IBM Event Streams offers better integration capabilities with a score of 9.3, which is crucial for businesses looking to connect various data sources seamlessly. Red Hat OpenShift Streams for Apache Kafka, with a score of 8.9, may not provide the same level of integration ease.
- Users say that the internationalization features of IBM Event Streams, scoring 9.0, are particularly beneficial for global organizations, while Red Hat OpenShift Streams for Apache Kafka scores 8.3, indicating it may not cater as effectively to diverse international needs.
Featured Products
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Pricing
Entry-Level Pricing
IBM Event Streams
No pricing availableRed Hat OpenShift Streams for Apache Kafka
No pricing availableFree Trial
IBM Event Streams
No trial information availableRed Hat OpenShift Streams for Apache Kafka
No trial information availableRatings
Meets Requirements
8.3
11
8.7
21
Ease of Use
9.5
11
8.4
23
Ease of Setup
Not enough data
8.5
10
Ease of Admin
Not enough data
7.8
9
Quality of Support
8.3
10
9.0
21
Has the product been a good partner in doing business?
Not enough data
9.2
10
Product Direction (% positive)
8.9
11
8.3
21
Features by Category
Data
9.3
7
8.3
18
9.3
7
8.6
18
9.4
6
8.9
19
10.0
6
8.5
19
Analytics
8.3
7
8.7
17
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
IBM Event Streams and Red Hat OpenShift Streams for Apache Kafka are categorized as Event Stream Processing
Unique Categories
IBM Event Streams has no unique categories
Red Hat OpenShift Streams for Apache Kafka has no unique categories
Reviews
Reviewers' Company Size
IBM Event Streams
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
Information Technology and Services
27.3%
Banking
18.2%
Textiles
9.1%
Health, Wellness and Fitness
9.1%
Events Services
9.1%
Other
27.3%
Computer Software
23.1%
Information Technology and Services
15.4%
Computer & Network Security
11.5%
Telecommunications
7.7%
Retail
3.8%
Other
38.5%
Most Helpful Reviews
IBM Event Streams
Most Helpful Favorable Review
Richa T.
Verified User in Information Technology and Services
Its based on kafka which is open source so its very different from its competitors also the ui is really nice . Also managing evets is really easy
Most Helpful Critical Review
Verified User in Health, Wellness and Fitness
Very limited capabilities out of the box, and slow in features being released for our dedicated environment.
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.
Richa T.
Verified User in Information Technology and Services
Its based on kafka which is open source so its very different from its competitors also the ui is really nice . Also managing evets is really easy
balaram m.
Verified User in Capital Markets
Serverless Operator, Knative Eventing, and the KnativeKafka custom resource installed on web cluster.
Verified User in Health, Wellness and Fitness
Very limited capabilities out of the box, and slow in features being released for our dedicated environment.
Angad B.
Verified User in Health, Wellness and Fitness
Difficult to understand and implement. It's working fine.
Alternatives
Discussions
IBM Event Streams has no discussions with answers
Red Hat OpenShift Streams for Apache Kafka has no discussions with answers
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