I don’t know. Comments Kafka is a popular system component that also makes a nice alternative for a unified log implementation; and once everything is in place, probably a better one compared to Redis thanks to its sophisticated design around high availability and other advanced features. 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. 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. However, since Redis 5.0 introduced the pub-sub, capabilities boosted and one-to-many became a real option. Kafka takes on extra complexity in order to achieve this scale. The Redis plugin is a collection of connectors that are used to interact with a Redis cluster. They are streams. Mostly they would not be considered as interchangeable. Here’s one comparison: Kafka vs Redis | What are the differences? Now, let's take a look at the less powerful, but still very helpful message brokers. Message Brokers per Use Case. Tagged with microservices, beginners, messagebroker, database. 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. When using asynchronous communication for Microservices, it is common to use a message broker. If you go this route make sure to keep an eye on memory usage. The main use case for consumer groups is when you want different consumers getting data from the same stream, but at different speeds. This connector expects records from Kafka to … Originally, Redis was not one-to-one and one-to-many. A while ago, Redis released it’s newest version, and with it, ... Kafka has the same concept, although not implemented in the same way. kafka, redis, spring boot 2.0, high performance, distributed architecture, apache kafka, database, avro Opinions expressed by DZone contributors are their own. Kafka is an excellent choice for storing a stream of events, and it designed for high scale. Kafka sounds great, why Redis Streams? Provisioning and managing a Kafka setup does need an understanding of some complex concepts. Important. but not limited to: data formats and schemata, data … News, tips and background on DE, incl. We covered some characteristics of RabbitMQ, Kafka, and Redis. These look like tables, but don’t be fooled. Sink Connectors Redis Sink Connector. Difference Between Apache Storm and Kafka. 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.. 22.4k members in the dataengineering community. I’d say that they have some overlapping functionality. 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