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Compare Apache Kafka and IBM Event Streams 
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At a Glance
Market Segments
Enterprise (47.5% of reviews)
Enterprise (50.0% 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)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Apache KafkaIBM Event Streams
Star Rating
(13)4.3 out of 5
Market Segments
Enterprise (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about IBM Event StreamsSummary
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, while IBM Event Streams achieves a perfect score of 10.0, indicating that IBM's solution may offer superior capabilities for time-sensitive data handling.
- Reviewers mention that IBM Event Streams has a higher ease of use rating at 9.5 compared to Apache Kafka's 8.6, suggesting that users find IBM's interface more intuitive and user-friendly.
- G2 users highlight that Apache Kafka has a strong performance and reliability score of 8.9, but IBM Event Streams outperforms it with a score of 9.3, indicating that IBM may provide a more stable and dependable service.
- Users on G2 report that IBM Event Streams shines in data transformation and data modeling, both scoring 8.7, while Apache Kafka lags behind with scores of 8.0 and 7.7 respectively, suggesting that IBM offers more robust tools for data manipulation.
- Reviewers say that while both products have strong integration capabilities, IBM Event Streams scores higher in application integration (9.3) compared to Apache Kafka (8.9), indicating a more seamless experience when connecting with other applications.
- Users report that Apache Kafka has a solid score for asynchronous messaging at 9.0, but IBM Event Streams does not have a specific score listed, which may imply that Kafka is more recognized for its messaging capabilities, though IBM's overall performance in other areas may compensate for this.
Pricing
Entry-Level Pricing
Apache Kafka
No pricing availableIBM Event Streams
No pricing availableFree Trial
Apache Kafka
No trial information availableIBM Event Streams
No trial information availableRatings
Meets Requirements
8.9
90
8.3
12
Ease of Use
8.6
90
9.6
12
Ease of Setup
8.0
28
Not enough data
Ease of Admin
7.8
24
Not enough data
Quality of Support
7.8
81
8.3
11
Has the product been a good partner in doing business?
8.3
20
Not enough data
Product Direction (% positive)
8.8
87
9.0
12
Features by Category
Data
8.8
33
9.4
8
8.7
35
9.4
8
8.9
35
9.5
7
9.0
35
10.0
7
Analytics
8.3
31
8.3
8
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 IBM Event Streams are categorized as Event Stream Processing
Unique Categories
Apache Kafka is categorized as Message Queue (MQ) and Stream Analytics
IBM Event Streams has no unique categories
Reviews
Reviewers' Company Size
Apache Kafka
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Event Streams
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%
Information Technology and Services
25.0%
Banking
16.7%
Consulting
8.3%
Textiles
8.3%
Health, Wellness and Fitness
8.3%
Other
33.3%
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
IBM Event Streams has no discussions with answers
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