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Compare Amazon Kinesis and Apache Kafka 
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At a Glance
Market Segments
Mid-Market (40.0% of reviews)
Enterprise (47.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Amazon Kinesis
Star Rating
(26)4.7 out of 5
Market Segments
Mid-Market (40.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Amazon KinesisApache 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 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 high throughput and low latency. In contrast, Amazon Kinesis also performs well but has a slightly lower score in this area, indicating that while it is effective, it may not match Kafka's performance in extremely demanding scenarios.
- Reviewers mention that Apache Kafka's integration capabilities are robust, scoring 8.9, which allows seamless connections with various data sources and applications. On the other hand, Amazon Kinesis, while still strong with an integration score of 8.4, may not offer the same breadth of options as Kafka, particularly for complex enterprise environments.
- G2 users highlight that Amazon Kinesis shines in quality of support, achieving a score of 9.1, which is significantly higher than Kafka's 7.7. This suggests that users may find more responsive and helpful support when using Kinesis, which can be crucial for businesses relying on timely assistance.
- Users on G2 report that Apache Kafka has a slightly lower ease of setup score (7.8) compared to Amazon Kinesis (8.3). This indicates that Kinesis may be more user-friendly for new users or those without extensive technical expertise, making it a better option for teams looking for quick deployment.
- Reviewers mention that both platforms have strong asynchronous messaging capabilities, with Kafka scoring 9.0 and Kinesis slightly lower at 8.4. However, users note that Kafka's messaging system is particularly praised for its durability and fault tolerance, which are critical for mission-critical applications.
- Users say that while both platforms offer data transformation features, Apache Kafka's score of 8.0 is seen as less favorable compared to Kinesis's overall functionality. This suggests that Kinesis may provide more intuitive tools for users looking to manipulate and analyze data effectively.
Pricing
Entry-Level Pricing
Amazon Kinesis
No pricing availableApache Kafka
No pricing availableFree Trial
Amazon Kinesis
No trial information availableApache Kafka
No trial information availableRatings
Meets Requirements
9.1
23
8.9
90
Ease of Use
8.7
24
8.6
90
Ease of Setup
8.3
7
8.0
28
Ease of Admin
8.6
7
7.8
24
Quality of Support
9.1
23
7.8
81
Has the product been a good partner in doing business?
9.3
7
8.3
20
Product Direction (% positive)
9.0
24
8.8
87
Features by Category
Data
Not enough data
8.8
33
Not enough data
8.7
35
Not enough data
8.9
35
Not enough data
9.0
35
Analytics
Not enough data
8.3
31
Functionality
Not enough data
8.9
52
Not enough data
8.5
49
Not enough data
8.3
45
Not enough data
8.1
49
Integration
Not enough data
8.8
51
Not enough data
8.4
47
Not enough data
8.1
46
Management
Not enough data
8.2
42
Not enough data
8.0
42
Not enough data
8.3
43
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
Amazon Kinesis and Apache Kafka are categorized as Stream Analytics
Unique Categories
Amazon Kinesis has no unique categories
Apache Kafka is categorized as Message Queue (MQ) and Event Stream Processing
Reviews
Reviewers' Company Size
Amazon Kinesis
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
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
20.0%
Consulting
8.0%
Consumer Services
8.0%
Computer Software
8.0%
Retail
4.0%
Other
52.0%
Computer Software
25.0%
Information Technology and Services
18.3%
Financial Services
8.3%
Banking
5.8%
Retail
4.2%
Other
38.3%
Alternatives
Discussions
Amazon Kinesis has no discussions with answers
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
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