Celery vs Kafka: What are the differences?
Developers describe Celery as "Distributed task queue". Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. On the other hand, Kafka is detailed as "Distributed, fault tolerant, high throughput pub-sub messaging system". Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
Celery and Kafka belong to "Message Queue" category of the tech stack.
"Task queue" is the top reason why over 84 developers like Celery, while over 95 developers mention "High-throughput" as the leading cause for choosing Kafka.
Celery and Kafka are both open source tools. Celery with 12.7K GitHub stars and 3.3K forks on GitHub appears to be more popular than Kafka with 12.5K GitHub stars and 6.7K GitHub forks.
According to the StackShare community, Kafka has a broader approval, being mentioned in 501 company stacks & 451 developers stacks; compared to Celery, which is listed in 271 company stacks and 77 developer stacks.