Compare Apache Kafka and Spark Streaming 
Featured Products
At a Glance
Market Segments
Enterprise (46.8% of reviews)
Mid-Market (40.5% 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 KafkaSpark Streaming
Star Rating
(40)4.2 out of 5
Market Segments
Mid-Market (40.5% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Spark StreamingApache Kafka vs Spark Streaming
When assessing the two solutions, reviewers found Apache Kafka easier to use and set up. However, Spark Streaming is easier to administer. Reviewers also preferred doing business with Spark Streaming overall.
- Reviewers felt that Spark Streaming meets the needs of their business better than Apache Kafka.
- When comparing quality of ongoing product support, reviewers felt that Spark Streaming is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Spark Streaming over Apache Kafka.
Pricing
Entry-Level Pricing
Apache Kafka
No pricing availableSpark Streaming
No pricing availableFree Trial
Apache Kafka
No trial information availableSpark Streaming
No trial information availableRatings
Meets Requirements
8.9
93
9.0
29
Ease of Use
8.6
94
8.2
29
Ease of Setup
8.1
32
7.6
9
Ease of Admin
7.8
24
8.0
9
Quality of Support
7.8
82
8.7
26
Has the product been a good partner in doing business?
8.3
20
8.5
9
Product Direction (% positive)
8.8
90
9.3
32
Features by Category
Data
8.9
35
9.2
28
8.7
35
9.0
27
8.9
37
8.8
27
9.1
37
9.0
28
Analytics
8.3
31
8.8
28
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
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 Spark Streaming are categorized as Event Stream Processing
Unique Categories
Apache Kafka is categorized as Message Queue (MQ) and Stream Analytics
Spark Streaming has no unique categories
Reviews
Reviewers' Company Size
Apache Kafka
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Spark Streaming
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%
Information Technology and Services
21.6%
Computer Software
18.9%
Telecommunications
8.1%
Education Management
8.1%
Financial Services
8.1%
Other
35.1%
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
Spark Streaming has no discussions with answers
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