Best message queue for cloud-native apps

1

Apache Kafka

If you take the time to sort out the history of message queues, you will find a very interesting phenomenon. Most of the currently popular message queues were born around 2010. For example, Apache Kafka was born at LinkedIn in 2010, Derek Collison developed Nats in 2010, and Apache Pulsar was born at Yahoo in 2012. What is the reason for this?

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2

RabbitMQ

RabbitMQ is an open-source message broker software that allows applications to communicate with each other using a messaging protocol. It was developed by Rabbit Technologies and first released in 2007, which was later acquired by VMware.RabbitMQ is based on the Advanced Message Queuing Protocol (AMQP) and provides a reliable, scalable, and interoperable messaging system.

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3

NATS

NATS is designed to be simple and easy to use, with a small footprint and low latency. It is often used in cloud-native environments to connect different components of a distributed system or to enable communication between microservices. NATS also supports message persistence, security, and clustering, making it a robust messaging system for building scalable and resilient applications.

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4

Apache Pulsar

Pulsar also provides a rich set of client libraries for various programming languages, making it easy to build messaging and streaming applications using Pulsar. Apache Pulsar is a popular choice for real-time data processing and messaging in large-scale data processing applications, such as those used in the financial, telecommunications, and internet-of-things industries.

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5

Redpanda

Redpanda message queue allows multiple producers to write messages to a single topic, and multiple consumers to read messages from that topic in parallel. Messages can be buffered in memory for fast delivery and persist to disk for durability. Redpanda also provides a number of features, such as replication, partitioning, and compression, to help manage large amounts of data.

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6

Vanus AI

Vanus is an open-source serverless event streaming platform with built-in event processing capabilities. It connects SaaS, cloud services, and databases to help users build next-generation event-driven applications. Vanus separates storage and computing resources and offers modern development features such as CloudEvents Specification, FaaS Integration, built-in Connectors, data filtering, and transformation.

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7

KubeMQ

KubeMQ is built as a set of microservices that can be deployed as containers on a Kubernetes cluster. It includes features such as message queuing, publish/subscribe messaging, request/reply messaging, and event-driven messaging. KubeMQ also supports multiple messaging protocols, including REST, gRPC, and WebSocket, and provides client libraries for several programming languages, including Go, Java, Python, and .NET.

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8

Memphis

Memphis is an open-source, cloud-native message queue and streaming platform. It is designed to provide a reliable and scalable messaging infrastructure for distributed applications. Memphis can be deployed on Kubernetes, and it supports multiple messaging patterns, including publish/subscribe, request/reply, and stream processing.

#Developer Tools #Queueing, Messaging And Background Processing #Data Streaming