![]() The suite of services provided by ZooKeeper include distributed configuration services, synchronization services, leadership election services, and a naming registry. ZooKeeper is utilized by several open-source projects to provide a highly reliable control plane for distributed coordination of clustered applications through a hierarchical key-value store. To coordinate all this flow data between consumers, producers, and brokers, Kafka leverages Apache ZooKeeper. ![]() The functionality makes Kafka second to none when it comes to sheer speed and throughput. This parallelism is what allows multiple consumers to read simultaneously across an entire cluster, and read consumer records at a rate ranging from 10's to 100,000's of records per second. These records are stored in an unchangeable sequence so that records can be spread across multiple Kafka partitions as well as multiple brokers. A topic is further broken down into partitions that house a number of records, each identified as a unique offset in a partition log. A producer places messages or records onto a given topic, then a consumer reads that record from the same topic. It also manages replication of data across a cluster as well as within topics and partitions.Ī Kafka topic is a grouping of messages that is used to organize messages for production and consumption. The Kafka broker handles all requests from all clients (both producers and consumers as well metadata). The main vehicle for this movement of data is the Kafka broker. These producers and consumers can also be thought of “inputs” and “outputs," where data is taken from an “input” system and consumed by an “output” system. Kafka is a distributed event store and streams-processing platform, meaning simply it takes data from producers and streams them out to consumers. ![]() In 2008, it was gifted to the Apache Software Foundation and was promoted soon thereafter to a top-level ASF project. It was originally developed to manage and streamline big data cluster processes and fix bugs that were occurring during the deployment of distributed clusters. ZooKeeper, on the other hand, was originally developed by Yahoo in the early 2000s, and started out as a Hadoop sub-project. The distributed event store and streams-processing platform was named after the author Franz Kafka by its lead developer, Jay Kreps, because it is a “system optimized for writing.” Originally developed by LinkedIn, Kafka was opened sourced in 2011 to the Apache Software Foundation where it graduated from the Apache Incubator on October 23rd, 2012. Is ZooKeeper Still Useful for Kafka Deployments?.In this blog, we discuss how Kafka and ZooKeeper combine to facilitate streaming data, and the emerging features in Kafka (like KRaft Mode) that could change how teams approach problems currently solved with ZooKeeper. From small startup organizations to Fortune 100 companies, businesses rely on Kafka with ZooKeeper for their data streaming needs. Apache Kafka and ZooKeeper are two of the most successful open source products in the computing world today.
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