The most valuable features of this solution is the architectural style of messaging or event streaming. First is important to understand that anything can be represented as an event=message e.g new order, status change, confirmation, information from IoT or from monitoring system. Each message can be transport very quickly from the source (producer) into consumer(s). Messages can be changed in the fly - streaming messaging.

Messages can be process exactly at once or at least once. Ordering of messages depends on just configuration setup. 

When comparing it with other messaging and integration platforms, this is one of the best rated. Message store is out of the box functionality. Messages are automatically stored based on parameter setup of retention policy. Messages can remain for longer, which can be configured from a few milliseconds up to years. Scalability and availability of messages can be changed with zero maintenance window.

You don't need extra clusters to achieve high availability for the messaging system like Veritas, PowerHA or other.

One platform for classical messaging, real time messaging, ETL, message streaming. 

ETL can be realised with connectors into external systems which also could run in more instances. Exists a lot of ready to use connectors and new ones can be developed.

The processing power of Apache Kafka is good when you have requirements for high throughput and a large number of consumers. 

With Kafka, events and streaming are persistent, and multiple subscribers can consume the data. This is an advantage of Kafka compared to simple queue-based solutions.

The most valuable features are the stream API, consumer groups, and the way that the scaling takes place. 

The solution is good for publishing transactions for commercial solutions whereby a duplicate will not affect any part of the system.

The solution is very easy to set up.

The stability is very good.

There's an online community available that can help answer questions or troubleshoot problems. 

The scalability of Kafka is very good.

It provides high throughput.

The high availability is valuable. It is robust, and we can rely on it for a huge amount of data. 

The Kafka Streams capability is also valuable. We get many options to build applications on top of Kafka.

I believe that the speed, and especially the performance, are very good features.

Also included is a cluster with built-in failover. 

It is the performance that is really meaningful.

In terms of features, we are satisfied. I don't require any additional features. I don't believe we require any additional features at this time.

I love the simplicity of the library and the design as well as the architectural concept which is like horizontal scaling.

Apache Kafka has good integration capabilities and has plenty of adapters in its ecosystem if you want to build something. There are adapters for many platforms, such as Java, Azure, and Microsoft's ecosystem. Other solutions, such as Pulsar have fewer adapters available.

The most valuable feature is the messaging function and reliability.

Kafka is an open-source tool that's easy to use in our country, and the command line interface is powerful. 

The valuable features are the group community and support.

Resiliency is great and also the fact that it handles different data formats. There is one data format that's universal across multiple application domains — Avro. It's pretty universal compared to JSON, XML, SQI, and other formats.

I like Kafka's flexibility, stability, reliability, and robustness.

The most valuable feature is the support for a high volume of data.

This solution is robust and delivers messages quickly. It's a simple but good product.

In my view, valuable features relate to microservices architecture and working on KStream and KSQL DB as a microservices event bus. The solution integrates very well. 

Besides better stability and scalability, there are no additional functionalities I'd like to see. Kafka is good at what it does.

All the features of Apache Kafka are valuable, I cannot single out one feature.

The most valuable feature is the documentation, which is good and clear.