event sourcing - Using Kafka as a (CQRS) Eventstore. Good idea?

Question

Although I've come across Kafka before, I just recently realized Kafka may perhaps be used as (the basis of) a CQRS, eventstore.

One of the main points that Kafka supports:

• Event capturing / storing, all HA of course.
• Pub / sub architecture
• Ability to replay the eventlog which allows the ability for new subscribers to register with the system after the fact.

Admittedly I'm not 100% versed into CQRS / Event sourcing but this seems pretty close to what an eventstore should be. Funny thing is: I really can't find that much about Kafka being used as an eventstore, so perhaps I am missing something.

So, anything missing from Kafka for it to be a good eventstore? Would it work? Using it production? Interested in insight, links, etc.

Basically the state of the system is saved based on the transactions/events the system has ever received, instead of just saving the current state / snapshot of the system which is what is usually done. (Think of it as a General Ledger in Accounting: all transactions ultimately add up to the final state) This allows all kinds of cool things, but just read up on the links provided.

Answer 1

I am one of the original authors of Kafka. Kafka will work very well as a log for event sourcing. It is fault-tolerant, scales to enormous data sizes, and has a built in partitioning model.

We use it for several use cases of this form at LinkedIn. For example our open source stream processing system, Apache Samza, comes with built-in support for event sourcing.

I think you don't hear much about using Kafka for event sourcing primarily because the event sourcing terminology doesn't seem to be very prevalent in the consumer web space where Kafka is most popular.

I have written a bit about this style of Kafka usage here.