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- Apache Kafka-vs-MuleSoft Anypoint Platform
Compare Apache Kafka and MuleSoft Anypoint Platform 
At a Glance
Market Segments
Enterprise (47.9% of reviews)
Enterprise (58.1% 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 KafkaMuleSoft Anypoint Platform
Star Rating
(701)4.4 out of 5
Market Segments
Enterprise (58.1% of reviews)
Entry-Level Pricing
No pricing available
Learn more about MuleSoft Anypoint PlatformSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that MuleSoft Anypoint Platform excels in API Management, with a score of 9.4, highlighting its robust features for Traffic Control and API Monitoring. In contrast, Apache Kafka, while strong in messaging, scores lower in this area, indicating a less comprehensive API management capability.
- Reviewers mention that MuleSoft's Data Mapping and Data Transformation functionalities are particularly user-friendly, scoring 9.2 and 9.1 respectively. Users on G2 appreciate the intuitive interface that simplifies complex data workflows, whereas Apache Kafka's data transformation capabilities are perceived as more technical and less accessible.
- G2 users highlight MuleSoft's superior Real-Time Processing capabilities, scoring 9.1, which is crucial for businesses needing immediate data insights. Users report that Apache Kafka, while strong in asynchronous messaging, does not match the same level of real-time integration ease.
- Reviewers say that MuleSoft Anypoint Platform's Ease of Setup is rated at 8.6, making it more approachable for teams without extensive technical expertise. In comparison, Apache Kafka's setup process, rated at 7.8, is often described as complex and requiring more technical knowledge.
- Users report that MuleSoft's Quality of Support is rated at 8.2, with many praising the responsiveness and helpfulness of the support team. Conversely, Apache Kafka's support, rated at 7.7, is noted to be less comprehensive, leading to frustrations among users seeking timely assistance.
- Reviewers mention that MuleSoft Anypoint Platform shines in Integration Options, particularly with its high scores in Third Party Integration (9.4) and BI Tools Integration (9.3). Users appreciate the extensive library of pre-built connectors, while Apache Kafka, with lower integration scores, is seen as more limited in this aspect.
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Pricing
Entry-Level Pricing
Apache Kafka
No pricing availableMuleSoft Anypoint Platform
No pricing availableFree Trial
Apache Kafka
No trial information availableMuleSoft Anypoint Platform
Free Trial is available
Ratings
Meets Requirements
9.0
87
8.8
490
Ease of Use
8.6
87
8.6
494
Ease of Setup
7.9
25
8.6
311
Ease of Admin
7.7
22
8.4
278
Quality of Support
7.8
78
8.2
447
Has the product been a good partner in doing business?
8.3
18
8.7
269
Product Direction (% positive)
8.8
84
9.1
473
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
8.8
79
8.5
46
8.3
71
8.4
42
8.7
75
8.1
46
8.3
73
Integration
8.8
48
9.1
80
8.4
44
8.8
79
8.1
43
8.7
76
Management
8.2
39
8.8
75
8.0
39
8.8
73
8.3
40
8.7
71
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
8.3
14
Not enough data
8.3
16
Functionality
Not enough data
8.1
18
Not enough data
8.7
17
Not enough data
8.3
21
Not enough data
8.8
15
Not enough data
8.9
16
Development
Not enough data
8.7
78
Not enough data
8.9
78
Not enough data
8.8
76
Not enough data
8.9
76
Collaboration
Not enough data
8.9
79
Not enough data
8.9
79
Not enough data
8.8
79
Functionality
Not enough data
9.4
18
|
Verified
Not enough data
9.2
18
|
Verified
Management
Not enough data
8.4
18
|
Verified
Not enough data
9.3
18
|
Verified
Not enough data
8.7
18
|
Verified
Integrations
Not enough data
9.4
18
|
Verified
Not enough data
9.3
18
|
Verified
Security
Not enough data
9.0
18
|
Verified
Not enough data
9.0
18
|
Verified
Support
Not enough data
Feature Not Available
Development
Not enough data
8.9
219
Not enough data
9.1
33
|
Verified
Not enough data
9.0
32
|
Verified
Not enough data
9.0
32
|
Verified
Not enough data
8.5
31
|
Verified
Not enough data
9.1
31
Not enough data
8.9
29
Management
Not enough data
9.1
33
|
Verified
Not enough data
9.0
33
|
Verified
Not enough data
8.8
32
|
Verified
Not enough data
9.0
31
|
Verified
Not enough data
9.4
30
Security
Not enough data
8.7
32
|
Verified
Not enough data
8.8
32
|
Verified
Not enough data
8.8
32
|
Verified
Integration Options
Not enough data
8.9
29
|
Verified
Not enough data
9.0
30
|
Verified
Not enough data
8.0
32
|
Verified
Not enough data
8.6
28
|
Verified
Deployment
Not enough data
9.1
32
Not enough data
9.2
31
Development - API Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Collaboration - API Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
API Management - API Platforms
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
API Construction
Not enough data
8.5
179
Not enough data
8.4
169
Not enough data
8.5
169
Not enough data
8.7
177
API Management
Not enough data
8.6
166
Not enough data
8.1
177
Not enough data
8.5
172
Not enough data
7.9
131
Not enough data
8.3
163
Data Integration
Not enough data
8.9
173
Not enough data
8.9
181
Not enough data
8.3
168
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 MuleSoft Anypoint Platform are categorized as Message Queue (MQ)
Unique Categories
Apache Kafka is categorized as Event Stream Processing and Stream Analytics
MuleSoft Anypoint Platform is categorized as API Development, iPaaS, ETL Tools, API Management, API Marketplace, Electronic Data Interchange (EDI), Java Integrated Development Environments (IDE), and API Platforms
Reviews
Reviewers' Company Size
Apache Kafka
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
MuleSoft Anypoint 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
23.9%
Information Technology and Services
17.9%
Financial Services
8.5%
Banking
6.0%
Retail
4.3%
Other
39.3%
Information Technology and Services
35.7%
Computer Software
11.8%
Financial Services
4.1%
Telecommunications
3.4%
Retail
2.7%
Other
42.2%
Most Helpful Reviews
Apache Kafka
Most Helpful Favorable Review
north w.
Verified User in Computer Software
Kafka is great when you want to enhance your software system and make it asynchronous. It's like the best most enhanced version of having a queue with partitions that you can leverage.
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.
MuleSoft Anypoint Platform
Most Helpful Favorable Review
Daniel B.
Verified User in Computer Software
Mule ESB comes out of the box with a great suite of enterprise-level connectors, allowing quick, no-hassle wire-ups of standards-based processes. If your solutions are more custom, Mule is Spring-backed, meaning wiring up custom protocols is almost as easy...
Most Helpful Critical Review
Raviraj R.
Verified User in Information Technology and Services
Comprehensive Documentation which helps us getting started up with the pre-requisite and configurations is missing.
north w.
Verified User in Computer Software
Kafka is great when you want to enhance your software system and make it asynchronous. It's like the best most enhanced version of having a queue with partitions that you can leverage.
Daniel B.
Verified User in Computer Software
Mule ESB comes out of the box with a great suite of enterprise-level connectors, allowing quick, no-hassle wire-ups of standards-based processes. If your solutions are more custom, Mule is Spring-backed, meaning wiring up custom protocols is almost as easy...
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.
Raviraj R.
Verified User in Information Technology and Services
Comprehensive Documentation which helps us getting started up with the pre-requisite and configurations is missing.
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
What is an Anypoint Connector?
4 comments
Official Response from MuleSoft Anypoint Platform
As the name suggests, iPaaS is a development platform for building integration applications. It provides a set of services and capabilities for integrating...Read more
MuleSoft Anypoint Platform has no more discussions with answers
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