Overall, I think it's a good experience. Apache Kafka can be quite complex and difficult to maintain on your own, so using Apache Kafka on Confluent Cloud makes it much easier to use it without worrying about setup and maintenance.
- "Overall, I think it's a good experience. Apache Kafka can be quite complex and difficult to maintain on your own, so using Apache Kafka on Confluent Cloud makes it much easier to use it without worrying about setup and maintenance."
- "The solution is expensive."
What is most valuable?
What needs improvement?
The solution is expensive.
For how long have I used the solution?
I have been using Apache Kafka on Confluent Cloud, the platform's main product, for about three months.
What do I think about the stability of the solution?
I haven't experienced any major stability problems or bugs.
What do I think about the scalability of the solution?
The tool is scalable. I've found Apache Kafka on Confluent Cloud to be very scalable. We've been able to scale up the volume of data we're handling without any issues with performance.
How was the initial setup?
Setting up a new cluster on Apache Kafka on Confluent Cloud is pretty easy. You can click a few options, and there's also integration with other tools to create the necessary resources. However, there are some caveats to be aware of. The type of networking setup you choose can impact your functionality and visibility in the platform. For example, if you have a public cluster, you'll see more metadata information in the console than a more restricted network deployment.
What's my experience with pricing, setup cost, and licensing?
Regarding pricing, Apache Kafka on Confluent Cloud is not a cheap tool. The right use case would justify the cost. It might make sense if you have a high volume of data that you can leverage to generate value for the business. But if you don't have those requirements, there are likely cheaper solutions you could use instead.
What other advice do I have?
I rate the solution an eight out of ten.