Kafka is a distributed streaming platform, which designed for high-scalability use cases, event streaming, and log processing. Review collected by and hosted on G2.com.

There are some requirement (mission-critical transaction processing) from finance teams where data integrity, consistency, and security are more prominent concerns than in typical Kafka applications. Review collected by and hosted on G2.com.

There are many things for which KAFKA has been very useful, few of them are listed below -

1. Performance have been superb.

2. The reliability has improved a lot in recent couple of years.

3. A common solution for both on-prem & cloud based requirements. Review collected by and hosted on G2.com.

Not many I can think of - Initially we had faced some reliability issue but now that is sorted. Apart from that I have faced issue while troubleshooting (rarely required) Review collected by and hosted on G2.com.

- Offset replays helps to replay events

- partitioning helps in multi processing

- multi cluster support

- ease of use

- great community Review collected by and hosted on G2.com.

- Learning curve is a bit steep

- Python support is less Review collected by and hosted on G2.com.

Best option when you want to build and control a huge event driven system Review collected by and hosted on G2.com.

Less performance when you have a auto scaling system Review collected by and hosted on G2.com.

Kafka is easy to use and implementation is kafka is easy to understand. It has fault tolerance feature so that there will be no data loss. Review collected by and hosted on G2.com.

Till now I haven't faced any issues, it is good. Review collected by and hosted on G2.com.

I love using Kafka because it helps me to send the data to streamsets and also store it there itself. Review collected by and hosted on G2.com.

As of now I haven't faced any issues with this. Review collected by and hosted on G2.com.

It is open source, fail safe, and easy to use. They also provide training to learn Kafka. You can easily integrate it with your production environment. Review collected by and hosted on G2.com.

There is nothing that I dislike about it. Review collected by and hosted on G2.com.

Ease of using Pub-Sub, the Speed at which our data is processed, minimizes latency and integrations. Review collected by and hosted on G2.com.

A steep learning curve for novices, maintenance is a hassle sometimes, And the fact that it depends on Zookeeper. Review collected by and hosted on G2.com.

Reliable messaging broker with easy partitioning and replication

Client library in all languages and frameworks

Ready-made connector with almost every well-known database and datastore, e.g., with MongoDB, Elasticsearch Review collected by and hosted on G2.com.

Dependency on Zookeeper adds additional admin concerns (KRaft is not migration ready for production)

High startup time in ungraceful shutdown Review collected by and hosted on G2.com.

Kafka is one of the best solutions that provides reliable communication across multiple independent distributed systems, Moreover, This communication is asynchronous which enables us to effectively leverage Kafka in our real-time data processing applications. Review collected by and hosted on G2.com.

Integrating Kafka into the existing applications is a little complex task, as it demands the need of a tech-expert team to actually set up the Kafka infrastructure which eventually adds cost and effort. Also, the adoption of Kafka is not an easy decision to take as it also increases the complexity and maintenance cost of that application. Review collected by and hosted on G2.com.