Compare Apache Kafka and Hazelcast Platform 
At a Glance
Market Segments
Enterprise (46.8% of reviews)
Small-Business (50.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Apache Kafka
Star Rating
(129)4.5 out of 5
Market Segments
Enterprise (46.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Apache KafkaHazelcast Platform
Star Rating
(13)4.3 out of 5
Market Segments
Small-Business (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Hazelcast PlatformApache Kafka vs Hazelcast Platform
- Reviewers felt that Apache Kafka meets the needs of their business better than Hazelcast Platform.
- When comparing quality of ongoing product support, reviewers felt that Hazelcast Platform is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Apache Kafka over Hazelcast Platform.
Pricing
Entry-Level Pricing
Apache Kafka
No pricing availableHazelcast Platform
No pricing availableFree Trial
Apache Kafka
No trial information availableHazelcast Platform
Free Trial is available
Ratings
Meets Requirements
8.9
93
8.8
8
Ease of Use
8.6
94
8.5
9
Ease of Setup
8.1
32
8.0
5
Ease of Admin
7.8
24
8.0
5
Quality of Support
7.8
82
8.7
5
Has the product been a good partner in doing business?
8.3
20
Not enough data
Product Direction (% positive)
8.8
90
7.4
9
Features by Category
Data
8.9
35
Not enough data
8.7
35
Not enough data
8.9
37
Not enough data
9.1
37
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
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
Solution Provision
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
Availability
Not enough data
Not enough data
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
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
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
Availability
Not enough data
Not enough data
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
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
Data Indexing
Not enough data
Not enough data
Not enough data
Not enough data
Filters
Not enough data
Not enough data
Not enough data
Not enough data
Query latency
Not enough data
Not enough data
Not enough data
Not enough data
Data latency
Not enough data
Not enough data
Not enough data
Not enough data
Connectors
Not enough data
Not enough data
Not enough data
Not enough data
Scale
Not enough data
Not enough data
Not enough data
Not enough data
Architecture
Not enough data
Not enough data
Not enough data
Not enough 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
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integrations
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
Processing
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
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 Hazelcast Platform are categorized as Event Stream Processing and Stream Analytics
Unique Categories
Apache Kafka is categorized as Message Queue (MQ)
Hazelcast Platform is categorized as Data Replication, Big Data Processing and Distribution, Key Value Databases, Document Databases, Real-time Analytic Database, Time Series Databases, and Vector Database
Reviews
Reviewers' Company Size
Apache Kafka
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Hazelcast Platform
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
24.2%
Information Technology and Services
19.4%
Financial Services
8.1%
Banking
5.6%
Computer & Network Security
4.0%
Other
38.7%
Financial Services
16.7%
Computer Software
16.7%
Transportation/Trucking/Railroad
8.3%
Telecommunications
8.3%
Retail
8.3%
Other
41.7%
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
Hazelcast Platform has no discussions with answers
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
