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Compare Apache Kafka and meshIQ 
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At a Glance
Market Segments
Enterprise (47.5% of reviews)
Enterprise (44.7% 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)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Apache KafkameshIQ
Star Rating
(94)4.6 out of 5
Market Segments
Enterprise (44.7% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about meshIQSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Apache Kafka excels in "Workload Processing" with a score of 9.4, making it a strong choice for handling high-throughput data streams, while meshIQ's performance in this area is not rated, indicating a potential gap in this critical functionality.
- Reviewers mention that meshIQ shines in "Quality of Support" with a score of 9.3, significantly higher than Apache Kafka's 7.7, suggesting that users may find more responsive and helpful customer service with meshIQ.
- G2 users highlight that Apache Kafka's "Scalability" is rated at 9.6, which is crucial for enterprises looking to grow their data infrastructure, whereas meshIQ does not provide a specific rating in this area, potentially limiting its appeal for larger organizations.
- Users on G2 note that meshIQ offers superior "Integration" capabilities with a perfect score of 10.0, compared to Apache Kafka's 8.9, indicating that meshIQ may provide a more seamless experience when connecting with other applications and services.
- Reviewers say that Apache Kafka's "Real-Time Processing" is rated at 9.1, which is essential for applications requiring immediate data handling, while meshIQ's performance in this area is not specified, suggesting a possible limitation in real-time capabilities.
- Users report that meshIQ's "Cloud-based Messaging" functionality is rated at 9.2, outperforming Apache Kafka's 8.4, which may appeal to organizations prioritizing cloud solutions for their messaging needs.
Pricing
Entry-Level Pricing
Apache Kafka
No pricing availablemeshIQ
No pricing availableFree Trial
Apache Kafka
No trial information availablemeshIQ
Free Trial is available
Ratings
Meets Requirements
8.9
90
8.8
79
Ease of Use
8.6
90
8.5
79
Ease of Setup
8.0
28
8.1
60
Ease of Admin
7.8
24
8.2
38
Quality of Support
7.8
81
8.8
79
Has the product been a good partner in doing business?
8.3
20
8.7
37
Product Direction (% positive)
8.8
87
9.4
79
Features by Category
Automation
Not enough data
9.2
16
Not enough data
9.3
16
Not enough data
9.3
16
Administration
Not enough data
9.2
16
Not enough data
9.5
16
Not enough data
9.6
15
Not enough data
9.3
15
Not enough data
9.6
16
Not enough data
9.3
16
Functionality
Not enough data
9.6
15
Not enough data
9.4
16
Not enough data
9.3
16
Agentic AI - Workload Automation
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
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
8.3
33
8.5
49
7.9
33
8.3
45
8.3
32
8.1
49
8.2
34
Integration
8.8
51
8.2
33
8.4
47
8.5
31
8.1
46
8.3
30
Management
8.2
42
8.3
33
8.0
42
8.5
32
8.3
43
8.6
32
Agentic AI - Message Queue (MQ)
Not enough data
7.2
9
Not enough data
7.6
9
Not enough data
7.4
9
Not enough data
7.8
9
Monitoring
Not enough data
9.4
18
Not enough data
9.2
17
Not enough data
9.3
16
Not enough data
9.4
17
Not enough data
Not enough data
Administration
Not enough data
9.6
18
Not enough data
9.3
15
Not enough data
9.4
17
Not enough data
Not enough data
Analysis
Not enough data
9.3
18
Not enough data
9.0
18
Not enough data
9.3
16
Agentic AI - Cloud Infrastructure Monitoring
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
AI Automation - Cloud Infrastructure Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
8.9
22
Not enough data
9.2
22
Not enough data
8.6
22
Management
Not enough data
9.2
22
Not enough data
8.9
22
Not enough data
8.7
22
Agentic AI - Continuous Delivery
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
Functionality
Not enough data
9.4
30
Not enough data
9.2
30
Not enough data
9.4
30
Issue Resolution
Not enough data
9.5
29
Not enough data
9.4
29
Not enough data
9.3
29
Management
Not enough data
9.3
30
Not enough data
9.2
30
Not enough data
9.5
30
Generative AI
Not enough data
8.8
14
Not enough data
8.9
14
Agentic AI - AIOps Platforms
Not enough data
8.5
13
Not enough data
8.5
13
Not enough data
8.5
13
Not enough data
8.3
11
Not enough data
8.6
11
Not enough data
8.8
11
Not enough data
8.9
11
Monitoring
Not enough data
9.1
24
Not enough data
9.1
24
Not enough data
9.3
24
Not enough data
9.0
21
Not enough data
9.2
24
Response
Not enough data
9.5
23
Not enough data
9.3
23
Not enough data
9.4
23
Agentic AI - Application Performance Monitoring (APM)
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
Performance
Not enough data
9.1
23
Not enough data
8.9
23
Functionality
Not enough data
9.0
24
Not enough data
8.9
21
Not enough data
9.2
23
Not enough data
9.2
23
Functionality
Not enough data
8.7
25
Not enough data
8.7
25
Not enough data
8.9
25
Management
Not enough data
8.5
25
Not enough data
8.5
25
Not enough data
8.9
25
Agentic AI - Continuous Integration
Not enough data
7.6
7
Not enough data
7.4
7
Not enough data
7.1
7
Not enough data
7.4
7
Not enough data
7.4
7
Telemetry Collection & Ingestion - Observability
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Observability Software
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
Visualization & Dashboards - Observability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Correlation & Root Cause Analysis - Observability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Scalability & Ecosystem Integration - Observability
Not enough data
Not enough data
Not enough data
Not enough data
AI Features - Observability
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 meshIQ are categorized as Message Queue (MQ)
Unique Categories
Apache Kafka is categorized as Event Stream Processing and Stream Analytics
Reviews
Reviewers' Company Size
Apache Kafka
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
meshIQ
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%
Banking
24.5%
Information Technology and Services
16.0%
Computer Software
9.6%
Computer & Network Security
6.4%
Retail
5.3%
Other
38.3%
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
meshIQ has no discussions with answers
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