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Compare Apache Kafka and KX 
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At a Glance
Market Segments
Enterprise (47.5% of reviews)
Enterprise (58.0% of reviews)
Entry-Level Pricing
No pricing available
$0.00
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 KafkaKX
Star Rating
(51)4.6 out of 5
Market Segments
Enterprise (58.0% of reviews)
Pros & Cons
Entry-Level Pricing
$0.00
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that KX excels in real-time processing with a score of 9.1, which reviewers mention is crucial for applications requiring immediate data insights, while Apache Kafka, although strong, has a slightly lower score in this area.
- Reviewers mention that KX's ease of setup is rated at 8.6, making it more user-friendly for new implementations compared to Apache Kafka's score of 7.8, which some users find challenging during initial configuration.
- G2 users highlight KX's superior data indexing capabilities with a score of 9.3, allowing for efficient data retrieval, whereas Apache Kafka's indexing features are perceived as less robust, impacting performance in data-heavy applications.
- Users on G2 report that KX offers better support for asynchronous messaging, scoring 9.0, which is essential for decoupled system architectures, while Apache Kafka, despite being a strong contender, has a lower score in this functionality.
- Reviewers mention that KX's lower query latency score of 9.8 is a significant advantage for users needing fast data access, contrasting with Apache Kafka's performance in this area, which is seen as less optimal by some users.
- Users say that KX's data replication feature, rated at 9.0, is highly reliable, ensuring data integrity across systems, while Apache Kafka's replication capabilities, although effective, do not match the same level of user satisfaction.
Pricing
Entry-Level Pricing
Apache Kafka
No pricing availableKX
Free
$0.00
Rate-limited plan for quickly and easily getting started with kdb+.
- Fastest query speed
- In-memory compute engine
- Extreme scalability
Free Trial
Apache Kafka
No trial information availableKX
Free Trial is available
Ratings
Meets Requirements
8.9
90
8.9
35
Ease of Use
8.6
90
6.7
38
Ease of Setup
8.0
28
8.5
24
Ease of Admin
7.8
24
8.9
14
Quality of Support
7.8
81
8.7
33
Has the product been a good partner in doing business?
8.3
20
9.0
12
Product Direction (% positive)
8.8
87
8.6
42
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
Storage
Not enough data
8.8
20
Not enough data
9.5
22
Availability
Not enough data
7.9
14
Not enough data
7.6
16
Not enough data
9.0
16
Performance
Not enough data
9.1
17
Security
Not enough data
8.0
15
Not enough data
7.9
18
Not enough data
7.7
14
Not enough data
8.2
16
Support
Not enough data
7.7
11
Not enough data
9.1
16
Data Indexing
Not enough data
8.0
9
Not enough data
9.3
10
Filters
Not enough data
8.5
10
Not enough data
9.1
9
Query latency
Not enough data
8.8
10
Not enough data
8.3
9
Data latency
Not enough data
8.9
9
Not enough data
8.0
9
Connectors
Not enough data
8.0
9
Not enough data
7.0
9
Scale
Not enough data
8.9
9
Not enough data
8.3
10
Architecture
Not enough data
8.1
9
Not enough data
8.3
9
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 KX are categorized as Stream Analytics
Unique Categories
Apache Kafka is categorized as Message Queue (MQ) and Event Stream Processing
KX is categorized as Columnar Databases, Time Series Intelligence, Time Series Databases, Real-time Analytic Database, and Vector Database
Reviews
Reviewers' Company Size
Apache Kafka
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
KX
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%
Financial Services
46.0%
Banking
12.0%
Capital Markets
10.0%
Investment Banking
6.0%
Investment Management
4.0%
Other
22.0%
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
KX has no discussions with answers
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