Mostly they would not be considered as interchangeable. Kafka sounds great, why Redis Streams? Sink Connectors Redis Sink Connector. I’d say that they have some overlapping functionality. The data is mostly self explanatory, but I’ll point out that the Users topic has two entries for Oscar where he starts with the color Red and changes it to Orange. The main use case for consumer groups is when you want different consumers getting data from the same stream, but at different speeds. Important. Here’s one comparison: Kafka vs Redis | What are the differences? Message Brokers per Use Case. Kafka takes on extra complexity in order to achieve this scale. We covered some characteristics of RabbitMQ, Kafka, and Redis. Now, let's take a look at the less powerful, but still very helpful message brokers. All three are beasts in their category, but as described, they operate quite differently. Apache Kafka use to handle a big amount of data in the fraction of seconds.It is a distributed message broker which relies on topics and partitions. Kafka is an excellent choice for storing a stream of events, and it designed for high scale. Provisioning and managing a Kafka setup does need an understanding of some complex concepts. kafka, redis, spring boot 2.0, high performance, distributed architecture, apache kafka, database, avro Opinions expressed by DZone contributors are their own. If you go this route make sure to keep an eye on memory usage. The Redis Sink Connector is used to write data from Kafka to a Redis cache. I don’t know. In the previous overview of the most popular messaging systems, we were talking about Apache Kafka vs RabbitMQ. They are streams. Originally, Redis was not one-to-one and one-to-many. I can see a use case where one could use redis in memory storage for ingestion of streaming short lived data with high consumer capacity on the backend. Comments News, tips and background on DE, incl. The Redis plugin is a collection of connectors that are used to interact with a Redis cluster. A while ago, Redis released it’s newest version, and with it, ... Kafka has the same concept, although not implemented in the same way. Tagged with microservices, beginners, messagebroker, database. However, since Redis 5.0 introduced the pub-sub, capabilities boosted and one-to-many became a real option. When using asynchronous communication for Microservices, it is common to use a message broker. Every time new data is produced for one of these streams, a new record (a key with attached data) is added to the end of the stream.. Difference Between Apache Storm and Kafka. These look like tables, but don’t be fooled. 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