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- Apache Kafka-vs-Google Cloud Pub/Sub
Compare Apache Kafka and Google Cloud Pub/Sub 
At a Glance
Market Segments
Enterprise (47.9% of reviews)
Small-Business (36.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Apache Kafka
Star Rating
(122)4.5 out of 5
Market Segments
Enterprise (47.9% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Apache KafkaGoogle Cloud Pub/Sub
Star Rating
(54)4.6 out of 5
Market Segments
Small-Business (36.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Google Cloud Pub/SubSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud Pub/Sub excels in real-time processing with a score of 9.1, making it a preferred choice for applications requiring immediate data delivery. In contrast, Apache Kafka, while still strong, has a slightly lower score of 8.1 for latency, indicating it may not be as fast in certain scenarios.
- Reviewers mention that Google Cloud Pub/Sub offers superior ease of setup with a score of 8.8, which is beneficial for teams looking to implement a messaging solution quickly. Apache Kafka, however, has a lower score of 7.8, suggesting that its setup may require more time and technical expertise.
- G2 users highlight that Google Cloud Pub/Sub provides robust cloud-based messaging capabilities, scoring 9.2, which is particularly advantageous for businesses leveraging cloud infrastructure. Apache Kafka, with a score of 8.4, may not be as seamless in cloud environments, as it is traditionally more suited for on-premises deployments.
- Users on G2 report that both products perform well in asynchronous messaging, each scoring 9.0. However, reviewers mention that Google Cloud Pub/Sub's integration with other Google Cloud services enhances its functionality, making it a more attractive option for users already within that ecosystem.
- Reviewers mention that Google Cloud Pub/Sub has a higher quality of support with a score of 8.3, which can be crucial for businesses needing reliable assistance. In comparison, Apache Kafka's support score of 7.7 indicates that users may experience more challenges when seeking help.
- Users say that Google Cloud Pub/Sub's data integration capabilities are rated at 8.9, which is slightly better than Apache Kafka's 8.4. This suggests that Google Cloud Pub/Sub may offer more seamless connections with various data sources, making it easier for users to manage their data flows.
Featured Products
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Pricing
Entry-Level Pricing
Apache Kafka
No pricing availableGoogle Cloud Pub/Sub
No pricing availableFree Trial
Apache Kafka
No trial information availableGoogle Cloud Pub/Sub
No trial information availableRatings
Meets Requirements
9.0
87
9.2
44
Ease of Use
8.6
87
8.6
45
Ease of Setup
7.9
25
8.9
25
Ease of Admin
7.7
22
8.8
15
Quality of Support
7.8
78
8.5
41
Has the product been a good partner in doing business?
8.3
18
8.9
14
Product Direction (% positive)
8.8
84
8.9
44
Features by Category
Data
8.9
30
Not enough data
8.7
32
Not enough data
8.9
32
Not enough data
9.1
32
Not enough data
Analytics
8.3
28
Not enough data
Functionality
9.0
49
9.1
13
8.5
46
8.5
11
8.4
42
9.2
13
8.1
46
7.4
12
Integration
8.8
48
9.0
12
8.4
44
9.0
12
8.1
43
8.6
11
Management
8.2
39
8.2
12
8.0
39
8.6
11
8.3
40
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
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 Google Cloud Pub/Sub are categorized as Message Queue (MQ) and Stream Analytics
Unique Categories
Apache Kafka is categorized as Event Stream Processing
Google Cloud Pub/Sub has no unique categories
Reviews
Reviewers' Company Size
Apache Kafka
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud Pub/Sub
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
23.9%
Information Technology and Services
17.9%
Financial Services
8.5%
Banking
6.0%
Retail
4.3%
Other
39.3%
Computer Software
32.0%
Education Management
10.0%
Marketing and Advertising
8.0%
Retail
6.0%
Information Technology and Services
6.0%
Other
38.0%
Most Helpful Reviews
Apache Kafka
Most Helpful Favorable Review
Swagat S.
Verified User in Computer Software
Apache Kafka is the most powerful and scalable streaming framework on the market. We have used Apache Kafka as a part of many real-time analytics solutions. It has a great performance [and is] easy to integrate with big data technologies like Spark. Due to...
Most Helpful Critical Review
Sahil M.
Verified User in Real Estate
The official sink and source connectors, from debezium have issues with some advanced data types, especially arrays and son, when reading from postgres WAL files.
Google Cloud Pub/Sub
Most Helpful Favorable Review
Preetham M.
Verified User in Music
The setup is almost nothing. You dont have to worry about provisioning machines and its utilization. Everything is taken care of.
Most Helpful Critical Review
Verified User in Medical Practice
Can be difficult to use once started with the program. It’s very concise and concrete.
Swagat S.
Verified User in Computer Software
Apache Kafka is the most powerful and scalable streaming framework on the market. We have used Apache Kafka as a part of many real-time analytics solutions. It has a great performance [and is] easy to integrate with big data technologies like Spark. Due to...
Preetham M.
Verified User in Music
The setup is almost nothing. You dont have to worry about provisioning machines and its utilization. Everything is taken care of.
Sahil M.
Verified User in Real Estate
The official sink and source connectors, from debezium have issues with some advanced data types, especially arrays and son, when reading from postgres WAL files.
Verified User in Medical Practice
Can be difficult to use once started with the program. It’s very concise and concrete.
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
Google Cloud Pub/Sub has no discussions with answers
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