free case study: Lucas Dreyer's unbiased review of Apache Kafka

Would you like to learn about products from people using them now? Simplify your research with trusted advice from people like you.

Download this FREE Streaming Analytics case study, based on Lucas Dreyer's UNBIASED USER EXPERIENCE with Apache Kafka:

Where should we email your case study?






Apache Kafka review

Lucas Dreyer
Lucas Dreyer
Data Engineer at BBD
A distributed event store and stream-processing platform to build real-time...
The real-time nature and the ability to use multiple offsets are the most beneficial features of Apache Kafka for our data streaming needs. This allows us to replay the same messages using different offsets. Although I haven't set up Kafka's scalability and fault tolerance myself, I know it can be configured with redundancy and fallback...

Since 2012, we've had 838,713 professionals use our research.

As seen in