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Compare Apache Kafka and Cloudera 
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At a Glance
Market Segments
Enterprise (47.5% of reviews)
Enterprise (51.5% 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)
Entry-Level Pricing
No pricing available
Learn more about Apache KafkaCloudera
Star Rating
(38)4.0 out of 5
Market Segments
Enterprise (51.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about ClouderaApache Kafka vs Cloudera
When assessing the two solutions, reviewers found Apache Kafka easier to use, set up, and administer. Reviewers also preferred doing business with Apache Kafka overall.
- Reviewers felt that Apache Kafka meets the needs of their business better than Cloudera.
- When comparing quality of ongoing product support, reviewers felt that Apache Kafka is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Apache Kafka over Cloudera.
Pricing
Entry-Level Pricing
Apache Kafka
No pricing availableCloudera
No pricing availableFree Trial
Apache Kafka
No trial information availableCloudera
No trial information availableRatings
Meets Requirements
8.9
90
8.2
30
Ease of Use
8.6
90
7.7
30
Ease of Setup
8.0
28
7.8
18
Ease of Admin
7.8
24
7.2
18
Quality of Support
7.8
81
6.9
26
Has the product been a good partner in doing business?
8.3
20
7.8
15
Product Direction (% positive)
8.8
87
7.0
31
Features by Category
Data
8.8
33
Not enough data
8.7
35
Not enough data
8.9
35
Not enough data
9.0
35
Not enough data
Analytics
8.3
31
Not enough data
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
Data Management
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
Integration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Availability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Not enough data
Feature Not Available
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Support
Not enough data
Not enough data
Not enough data
Not enough data
Database
Not enough data
7.8
10
Not enough data
8.8
10
Not enough data
8.1
8
Integrations
Not enough data
8.7
10
Not enough data
8.1
9
Platform
Not enough data
9.2
6
Not enough data
7.5
8
Not enough data
8.1
9
Processing
Not enough data
7.8
6
Not enough data
8.1
8
Data Transformation
Not enough data
7.0
9
|
Verified
Not enough data
8.3
6
|
Verified
Connectivity
Not enough data
9.0
10
|
Verified
Not enough data
9.1
9
|
Verified
Not enough data
8.5
9
|
Verified
Not enough data
9.0
8
|
Verified
Operations
Not enough data
7.5
8
|
Verified
Not enough data
8.0
9
|
Verified
Not enough data
7.9
7
|
Verified
Not enough data
Feature Not Available
Not enough data
8.7
5
|
Verified
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
Database Features
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 Cloudera share no categories
Unique Categories
Cloudera is categorized as Big Data Processing and Distribution, Key Value Databases, Big Data Analytics, Data Warehouse, and Big Data Integration Platforms
Reviews
Reviewers' Company Size
Apache Kafka
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Cloudera
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
21.2%
Telecommunications
12.1%
Computer Software
12.1%
Retail
9.1%
Marketing and Advertising
6.1%
Other
39.4%
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
Cloudera has no discussions with answers
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