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Compare Apache Kafka and Azure Logic Apps 
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At a Glance
Market Segments
Enterprise (47.5% of reviews)
Enterprise (39.1% 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 KafkaAzure Logic Apps
Star Rating
(102)4.3 out of 5
Market Segments
Enterprise (39.1% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Azure Logic AppsSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Apache Kafka excels in real-time processing with a score of 9.1, making it a preferred choice for applications requiring immediate data handling. In contrast, Azure Logic Apps, while strong in cloud-based messaging (8.7), does not match Kafka's real-time capabilities.
- Reviewers mention that Apache Kafka's asynchronous messaging feature scores 9.0, highlighting its effectiveness in decoupling data streams. Azure Logic Apps, with a score of 8.2 in the same category, offers solid performance but lacks the same level of robustness for high-throughput scenarios.
- G2 users indicate that Apache Kafka's integration capabilities are impressive, scoring 8.9, which is crucial for enterprises needing to connect various data sources seamlessly. Azure Logic Apps, however, shines in application integration with a perfect score of 9.0, making it ideal for users focused on integrating diverse applications.
- Users on G2 report that Azure Logic Apps provides a more user-friendly experience with an ease of setup score of 8.2 compared to Kafka's 7.8. This makes Azure Logic Apps a better option for teams looking for quick deployment without extensive technical expertise.
- Reviewers mention that Apache Kafka's quality of support scores 7.7, which some users find lacking compared to Azure Logic Apps' score of 8.2. This difference suggests that Azure Logic Apps may offer more reliable customer support for troubleshooting and guidance.
- Users say that while both products have strong data integration capabilities, Apache Kafka's focus on big data processing (8.5) gives it an edge for organizations dealing with large volumes of data, whereas Azure Logic Apps is more suited for standard integration tasks with a balanced score of 8.4.
Pricing
Entry-Level Pricing
Apache Kafka
No pricing availableAzure Logic Apps
No pricing availableFree Trial
Apache Kafka
No trial information availableAzure Logic Apps
No trial information availableRatings
Meets Requirements
8.9
90
8.6
66
Ease of Use
8.6
90
8.2
65
Ease of Setup
8.0
28
8.2
36
Ease of Admin
7.8
24
8.5
34
Quality of Support
7.8
81
8.2
64
Has the product been a good partner in doing business?
8.3
20
8.7
35
Product Direction (% positive)
8.8
87
8.4
65
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
8.2
15
8.5
49
8.1
15
8.3
45
8.7
15
8.1
49
8.2
16
Integration
8.8
51
9.0
16
8.4
47
8.4
16
8.1
46
7.9
13
Management
8.2
42
8.4
15
8.0
42
8.7
15
8.3
43
8.8
15
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
Development
Not enough data
8.2
36
Not enough data
8.0
16
|
Verified
Not enough data
8.7
17
|
Verified
Not enough data
8.6
17
|
Verified
Not enough data
8.3
15
|
Verified
Not enough data
7.9
14
Not enough data
7.4
13
Management
Not enough data
8.2
18
|
Verified
Not enough data
7.9
16
|
Verified
Not enough data
7.8
16
|
Verified
Not enough data
8.2
15
|
Verified
Not enough data
8.0
14
Security
Not enough data
7.6
14
|
Verified
Not enough data
8.0
16
|
Verified
Not enough data
8.0
14
|
Verified
Integration Options
Not enough data
7.9
13
|
Verified
Not enough data
8.1
15
|
Verified
Not enough data
8.2
12
|
Verified
Not enough data
8.1
12
|
Verified
Deployment
Not enough data
8.2
12
Not enough data
8.6
11
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 Azure Logic Apps are categorized as Message Queue (MQ)
Unique Categories
Apache Kafka is categorized as Event Stream Processing and Stream Analytics
Azure Logic Apps is categorized as iPaaS
Reviews
Reviewers' Company Size
Apache Kafka
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Azure Logic Apps
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%
Information Technology and Services
22.7%
Computer Software
12.5%
Health, Wellness and Fitness
5.7%
Insurance
4.5%
Internet
3.4%
Other
51.1%
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
Azure Logic Apps has no discussions with answers
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