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Compare Apache Kafka and Pusher 
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At a Glance
Market Segments
Enterprise (47.5% of reviews)
Small-Business (63.6% 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 KafkaPusher
Star Rating
(11)4.3 out of 5
Market Segments
Small-Business (63.6% of reviews)
Entry-Level Pricing
No pricing available
Learn more about PusherSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Pusher excels in real-time processing with a score of 9.1, making it a preferred choice for applications requiring instant data updates. In contrast, Apache Kafka, while robust, has a slightly lower score in this area, indicating it may not be as optimized for real-time scenarios.
- Reviewers mention that Pusher's ease of integration is rated at 8.9, which is higher than Apache Kafka's 8.1. This suggests that users find Pusher more straightforward to implement within their existing systems, particularly for small businesses.
- G2 users highlight that Apache Kafka shines in data processing with a score of 8.9, which is crucial for handling large volumes of data efficiently. Pusher, while effective, does not match this level of performance in data processing capabilities.
- Users on G2 report that Pusher's asynchronous messaging feature is rated at 9.0, indicating strong performance in handling messages without blocking processes. This is particularly beneficial for applications that require high responsiveness.
- Reviewers mention that while both products have solid support ratings, Apache Kafka's quality of support is slightly better at 7.7 compared to Pusher's 7.6. This could be a deciding factor for users who prioritize ongoing assistance and community engagement.
- Users say that Pusher's cloud-based messaging feature is rated at 8.4, which is beneficial for developers looking for scalable solutions. However, Apache Kafka's strength lies in its enterprise-level capabilities, making it more suitable for larger organizations with complex data needs.
Pricing
Entry-Level Pricing
Apache Kafka
No pricing availablePusher
No pricing availableFree Trial
Apache Kafka
No trial information availablePusher
No trial information availableRatings
Meets Requirements
8.9
90
8.3
9
Ease of Use
8.6
90
8.5
9
Ease of Setup
8.0
28
Not enough data
Ease of Admin
7.8
24
Not enough data
Quality of Support
7.8
81
7.6
7
Has the product been a good partner in doing business?
8.3
20
Not enough data
Product Direction (% positive)
8.8
87
8.7
9
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
Communication Platform as a Service (CPaaS)Hide 6 FeaturesShow 6 Features
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Support
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 Pusher are categorized as Stream Analytics
Unique Categories
Apache Kafka is categorized as Message Queue (MQ) and Event Stream Processing
Pusher is categorized as API Marketplace and Communication Platform as a Service (CPaaS)
Reviews
Reviewers' Company Size
Apache Kafka
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Pusher
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%
Computer Software
18.2%
Telecommunications
9.1%
Restaurants
9.1%
Pharmaceuticals
9.1%
Marketing and Advertising
9.1%
Other
45.5%
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
Pusher has no discussions with answers
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