Pulsar is cloud-native and multi-tenant, capable of scaling up or down dynamically without downtime. What is Apache Pulsar?Īpache Pulsar is a distributed messaging system that is also capable of handling message queueing. We will explore these differences further in the coming sections. Also, Kafka doesn’t have the concept of queues. Message storage architecture and message consumption style make Kafka significantly different from typical message brokers. Each partition is consumed by many consumers in parallel, with each consumer maintaining a unique view of the partition. Incoming events are written to a partition sequentially, enabling Kafka to achieve a higher write throughput. A partition holds a subset of events belonging to a topic. A Kafka cluster is a collection of brokers who organize events into topics and store them durably for a configurable time.Ī Kafka topic is divided into several partitions. What is Apache Kafka?Īpache Kafka is a distributed event streaming platform that can ingest events from different source systems at scale and store them in a fault-tolerant distributed system called a Kafka cluster. Though the two platforms were originally designed to solve wholly different use cases, there are now plenty of similarities between the two, and each can accomplish many of the tasks of the other. Like Kafka, Pulsar is maintained as an open-source solution by the Apache Software foundation. We’ve previously compared Kafka with RabbitMQ and ApacheMQ, but in this blog we’ll be looking at how Kafka compares with Apache Pulsar. However, it is not the only distributed messaging solution out there. Apache Kafka is the dominant platform for data streaming, with the majority of large enterprises maintaining a Kafka ecosystem.
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