Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov cover image

Apache Kafka Fundamentals: The Concept of Streams and Tables ft. Michael Noll

Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov

00:00

How Topics Scale in Kafka

Kafka is different to traditional messaging systems that people might have used like Redmi, RedmiDnQ. Kafka stores this data permanently and it does so by storing these events, streams into topics. The main difference is that a topic does not have a Schema. This approach of dumb brokers means the brokers can scale very, very well because they don't have to deserialize and reserealize messages as they come and go.

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