Compare Apache Kafka and Confluent 
Featured Products
At a Glance
Market Segments
Enterprise (46.8% of reviews)
Enterprise (35.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Apache 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 KafkaConfluent
Star Rating
(114)4.4 out of 5
Market Segments
Enterprise (35.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about ConfluentApache Kafka vs Confluent
When assessing the two solutions, reviewers found Apache Kafka easier to use. However, Confluent is easier to set up and administer. Reviewers also preferred doing business with Confluent overall.
- Reviewers felt that Apache Kafka meets the needs of their business better than Confluent.
- When comparing quality of ongoing product support, reviewers felt that Confluent is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Confluent over Apache Kafka.
Pricing
Entry-Level Pricing
Apache Kafka
No pricing availableConfluent
No pricing availableFree Trial
Apache Kafka
No trial information availableConfluent
Free Trial is available
Ratings
Meets Requirements
8.9
93
8.7
89
Ease of Use
8.6
94
8.4
90
Ease of Setup
8.1
32
8.3
40
Ease of Admin
7.8
24
8.1
39
Quality of Support
7.8
82
8.3
83
Has the product been a good partner in doing business?
8.3
20
8.5
36
Product Direction (% positive)
8.8
90
9.0
90
Features by Category
Data
8.9
35
8.8
64
8.7
35
8.8
59
8.9
37
8.8
64
9.1
37
9.1
65
Analytics
8.3
31
8.3
57
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
Database
Not enough data
9.0
18
Not enough data
8.7
17
Not enough data
8.3
15
Integrations
Not enough data
8.3
12
Not enough data
8.2
14
Platform
Not enough data
8.2
17
Not enough data
7.8
16
Not enough data
8.2
14
Processing
Not enough data
8.2
16
Not enough data
8.3
17
Data Transformation
Not enough data
8.9
22
|
Verified
Not enough data
8.4
20
|
Verified
Connectivity
Not enough data
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
Operations
Not enough data
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
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 Confluent are categorized as Event Stream Processing and Stream Analytics
Unique Categories
Apache Kafka is categorized as Message Queue (MQ)
Confluent is categorized as Big Data Processing and Distribution and Big Data Analytics
Reviews
Reviewers' Company Size
Apache Kafka
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Confluent
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
24.2%
Information Technology and Services
19.4%
Financial Services
8.1%
Banking
5.6%
Computer & Network Security
4.0%
Other
38.7%
Computer Software
21.6%
Information Technology and Services
15.3%
Financial Services
13.5%
Banking
5.4%
Retail
5.4%
Other
38.7%
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
Confluent has no discussions with answers
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