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Compare Apache Kafka and Google Cloud Pub/Sub

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At a Glance
Apache Kafka
Apache Kafka
Star Rating
(126)4.5 out of 5
Market Segments
Enterprise (47.1% of reviews)
Information
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Apache Kafka
Google Cloud Pub/Sub
Google Cloud Pub/Sub
Star Rating
(37)4.5 out of 5
Market Segments
Small-Business (43.8% of reviews)
Information
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Google Cloud Pub/Sub

Apache Kafka vs Google Cloud Pub/Sub

When assessing the two solutions, reviewers found them equally easy to use. However, Google Cloud Pub/Sub is easier to set up and administer. Reviewers also preferred doing business with Google Cloud Pub/Sub overall.

  • Reviewers felt that Google Cloud Pub/Sub meets the needs of their business better than Apache Kafka.
  • When comparing quality of ongoing product support, reviewers felt that Google Cloud Pub/Sub is the preferred option.
  • For feature updates and roadmaps, our reviewers preferred the direction of Apache Kafka over Google Cloud Pub/Sub.
Pricing
Entry-Level Pricing
Apache Kafka
No pricing available
Google Cloud Pub/Sub
No pricing available
Free Trial
Apache Kafka
No trial information available
Google Cloud Pub/Sub
No trial information available
Ratings
Meets Requirements
8.9
90
9.2
27
Ease of Use
8.6
91
8.6
28
Ease of Setup
8.0
29
8.9
9
Ease of Admin
7.8
24
7.9
7
Quality of Support
7.8
81
8.8
24
Has the product been a good partner in doing business?
8.3
20
8.9
6
Product Direction (% positive)
8.8
87
8.3
27
Features by Category
Event Stream ProcessingHide 5 FeaturesShow 5 Features
8.7
36
Not enough data
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
8.4
54
8.6
18
Functionality
8.9
52
9.1
13
8.5
49
8.5
11
8.3
45
9.3
14
8.1
49
7.4
12
Integration
8.8
51
9.0
13
8.4
47
9.0
12
8.1
46
8.6
11
Management
8.2
42
8.3
13
8.0
42
8.8
12
8.3
43
8.8
12
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
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
Apache Kafka
Google Cloud Pub/Sub
Google Cloud Pub/Sub
Apache Kafka and Google Cloud Pub/Sub are categorized as Message Queue (MQ) and Stream Analytics
Unique Categories
Apache Kafka
Apache Kafka is categorized as Event Stream Processing
Google Cloud Pub/Sub
Google Cloud Pub/Sub has no unique categories
Reviews
Reviewers' Company Size
Apache Kafka
Apache Kafka
Small-Business(50 or fewer emp.)
19.8%
Mid-Market(51-1000 emp.)
33.1%
Enterprise(> 1000 emp.)
47.1%
Google Cloud Pub/Sub
Google Cloud Pub/Sub
Small-Business(50 or fewer emp.)
43.8%
Mid-Market(51-1000 emp.)
25.0%
Enterprise(> 1000 emp.)
31.3%
Reviewers' Industry
Apache Kafka
Apache Kafka
Computer Software
24.8%
Information Technology and Services
18.2%
Financial Services
8.3%
Banking
5.8%
Retail
4.1%
Other
38.8%
Google Cloud Pub/Sub
Google Cloud Pub/Sub
Computer Software
21.9%
Education Management
15.6%
Marketing and Advertising
9.4%
Retail
6.3%
Information Services
6.3%
Other
40.6%
Alternatives
Apache Kafka
Apache Kafka Alternatives
Confluent
Confluent
Add Confluent
MuleSoft Anypoint Platform
MuleSoft Anypoint Platform
Add MuleSoft Anypoint Platform
IBM MQ
IBM MQ
Add IBM MQ
Amazon Kinesis Data Streams
Amazon Kinesis Data Streams
Add Amazon Kinesis Data Streams
Google Cloud Pub/Sub
Google Cloud Pub/Sub Alternatives
MuleSoft Anypoint Platform
MuleSoft Anypoint Platform
Add MuleSoft Anypoint Platform
IBM MQ
IBM MQ
Add IBM MQ
Confluent
Confluent
Add Confluent
Amazon Kinesis Data Streams
Amazon Kinesis Data Streams
Add Amazon Kinesis Data Streams
Discussions
Apache Kafka
Apache Kafka Discussions
What is Apache Kafka used for?
2 Comments
Rahul S.
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
Chirag T.
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
Darshika V.
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
Google Cloud Pub/Sub
Google Cloud Pub/Sub Discussions
Monty the Mongoose crying
Google Cloud Pub/Sub has no discussions with answers