Compare Amazon Kinesis Data Streams and Apache Kafka 
At a Glance
Market Segments
Mid-Market (37.0% of reviews)
Enterprise (46.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Amazon Kinesis Data Streams
Star Rating
(90)4.3 out of 5
Market Segments
Mid-Market (37.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Amazon Kinesis Data StreamsApache Kafka
Star Rating
(129)4.5 out of 5
Market Segments
Enterprise (46.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Apache KafkaAmazon Kinesis Data Streams vs Apache Kafka
When assessing the two solutions, reviewers found Apache Kafka easier to use. However, Amazon Kinesis Data Streams is easier to set up and administer. Reviewers also preferred doing business with Amazon Kinesis Data Streams overall.
- Reviewers felt that Amazon Kinesis Data Streams meets the needs of their business better than Apache Kafka.
- When comparing quality of ongoing product support, reviewers felt that Amazon Kinesis Data Streams is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Apache Kafka over Amazon Kinesis Data Streams.
Pricing
Entry-Level Pricing
Amazon Kinesis Data Streams
No pricing availableApache Kafka
No pricing availableFree Trial
Amazon Kinesis Data Streams
No trial information availableApache Kafka
No trial information availableRatings
Meets Requirements
9.1
53
8.9
93
Ease of Use
8.3
53
8.6
94
Ease of Setup
8.5
20
8.1
32
Ease of Admin
8.4
18
7.8
24
Quality of Support
8.6
48
7.8
82
Has the product been a good partner in doing business?
8.6
18
8.3
20
Product Direction (% positive)
8.1
44
8.8
90
Features by Category
Data
9.0
19
8.9
35
9.1
17
8.7
35
8.7
19
8.9
37
9.4
19
9.1
37
Analytics
8.9
12
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 Data Streams and Apache Kafka are categorized as Event Stream Processing and Stream Analytics
Unique Categories
Amazon Kinesis Data Streams has no unique categories
Apache Kafka is categorized as Message Queue (MQ)
Reviews
Reviewers' Company Size
Amazon Kinesis Data Streams
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
14.8%
Computer Software
14.8%
Financial Services
12.3%
Consumer Services
4.9%
Banking
4.9%
Other
48.1%
Computer Software
24.2%
Information Technology and Services
19.4%
Financial Services
8.1%
Banking
5.6%
Computer & Network Security
4.0%
Other
38.7%
Alternatives
Discussions
Amazon Kinesis Data Streams 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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