Introducing G2.ai, the future of software buying.Try now

Compare Apache Kafka and Google Cloud Pub/Sub

Save
    Log in to your account
    to save comparisons,
    products and more.
At a Glance
Apache Kafka
Apache Kafka
Star Rating
(125)4.5 out of 5
Market Segments
Enterprise (47.5% of reviews)
Information
Entry-Level Pricing
No pricing available
Learn more about Apache Kafka
Google Cloud Pub/Sub
Google Cloud Pub/Sub
Star Rating
(36)4.5 out of 5
Market Segments
Small-Business (41.9% of reviews)
Information
Entry-Level Pricing
No pricing available
Learn more about Google Cloud Pub/Sub
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.
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
26
Ease of Use
8.6
90
8.6
27
Ease of Setup
8.0
28
9.0
8
Ease of Admin
7.8
24
7.8
6
Quality of Support
7.8
81
8.8
23
Has the product been a good partner in doing business?
8.3
20
8.7
5
Product Direction (% positive)
8.8
87
8.2
26
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
17
Functionality
8.9
52
9.1
13
8.5
49
8.5
11
8.3
45
9.2
13
8.1
49
7.4
12
Integration
8.8
51
9.0
12
8.4
47
9.0
12
8.1
46
8.6
11
Management
8.2
42
8.2
12
8.0
42
8.6
11
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.)
19.2%
Mid-Market(51-1000 emp.)
33.3%
Enterprise(> 1000 emp.)
47.5%
Google Cloud Pub/Sub
Google Cloud Pub/Sub
Small-Business(50 or fewer emp.)
41.9%
Mid-Market(51-1000 emp.)
25.8%
Enterprise(> 1000 emp.)
32.3%
Reviewers' Industry
Apache Kafka
Apache Kafka
Computer Software
25.0%
Information Technology and Services
18.3%
Financial Services
8.3%
Banking
5.8%
Retail
4.2%
Other
38.3%
Google Cloud Pub/Sub
Google Cloud Pub/Sub
Computer Software
22.6%
Education Management
16.1%
Marketing and Advertising
9.7%
Retail
6.5%
Information Services
6.5%
Other
38.7%
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