Compare Apache Kafka and Estuary 
At a Glance
Market Segments
Enterprise (46.8% of reviews)
Mid-Market (58.1% of reviews)
Entry-Level Pricing
No pricing available
Free 10 GB Per Month
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 KafkaEstuary
Star Rating
(31)4.8 out of 5
Market Segments
Mid-Market (58.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free 10 GB Per Month
Browse all 3 pricing plansApache Kafka vs Estuary
When assessing the two solutions, reviewers found Estuary easier to use, set up, and administer. Reviewers also preferred doing business with Estuary overall.
- Reviewers felt that Estuary meets the needs of their business better than Apache Kafka.
- When comparing quality of ongoing product support, reviewers felt that Estuary is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Estuary over Apache Kafka.
Pricing
Entry-Level Pricing
Apache Kafka
No pricing availableEstuary
Free Edition
Free
10 GB Per Month
Up to 10 GB/month for any 2 connectors
- Millisecond latency
- UI & CLI for building and monitoring pipelines
- Limited data retention in Estuary Cloud
Free Trial
Apache Kafka
No trial information availableEstuary
Free Trial is available
Ratings
Meets Requirements
8.9
93
9.3
28
Ease of Use
8.6
94
8.7
28
Ease of Setup
8.1
32
8.6
29
Ease of Admin
7.8
24
8.7
21
Quality of Support
7.8
82
9.8
28
Has the product been a good partner in doing business?
8.3
20
9.5
21
Product Direction (% positive)
8.8
90
9.6
29
Features by Category
Data
8.9
35
8.7
5
8.7
35
9.3
5
8.9
37
Not enough data
9.1
37
9.3
5
Analytics
8.3
31
8.3
5
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
Management
Not enough data
7.6
11
Not enough data
8.3
9
Functionality
Not enough data
9.2
11
Not enough data
8.7
9
Not enough data
9.7
12
Not enough data
9.6
12
Not enough data
9.6
12
Management
Not enough data
9.1
18
Not enough data
9.2
19
Not enough data
9.2
19
Not enough data
8.7
18
Solution Provision
Not enough data
8.0
15
Not enough data
8.9
19
Not enough data
8.2
15
Management
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
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
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 Estuary are categorized as Event Stream Processing and Stream Analytics
Unique Categories
Apache Kafka is categorized as Message Queue (MQ)
Estuary is categorized as Data Replication and ETL Tools
Reviews
Reviewers' Company Size
Apache Kafka
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Estuary
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%
Computer Software
29.0%
Information Technology and Services
12.9%
Marketing and Advertising
9.7%
Consulting
6.5%
Telecommunications
6.5%
Other
35.5%
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
Estuary has no discussions with answers
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