10/29/2023 0 Comments Message queue comparisonFor multiple publishers, messages are out of order for different subscribers, and there’s no guarantee that messages will be delivered in the order they were published. Messages from a single publisher are delivered in the order they’re created to the subscriber. NATS is a good messaging tool for this kind of data volume that needs to be handled every second, so it’s unsurprising that the game’s developer, Activision Blizzard, uses it. For example, in a game like World of Warcraft, which has over 2 million players daily, it’s important that players know where they are in the world, but not necessarily where they were a few seconds ago. It works particularly well in use cases that prioritize real-time communication over long-term data storage and persistence. This model is suitable for use cases where the loss of a few messages is acceptable as long as the overall system continues to operate correctly. The at-most-once delivery guarantee means that messages are delivered once, and if there is a failure in the delivery process, the message is lost. The messaging platform offers at-most-once delivery, which makes it suitable for real-time, high-speed communication between microservices or other applications but not for long-term event storage. NATS follows a pub-sub model with extended support for models like request-reply and wildcard subscriptions. It’s suitable for edge deployments and can be deployed anywhere, including using VMs and containers on a device. With a minimal footprint of under 10 MB, it’s a lightweight solution with a very straightforward setup process. It was originally written in Ruby but has since been rewritten in Go to support increased throughput. NATS, or Neural Autonomic Transport System, is a cloud-native messaging platform that was first released in 2011. These factors will determine how the platform can be used in your workflow and whether it’s suitable for your use case. Persistence and replayability: Does the platform store messages and allow for reprocessing if they were missed the first time?.Throughput and latency: How many messages can the platform handle, and how fast is the communication? Keep in mind that all these systems can scale to handle increased throughput, and that results will vary based on your system configuration.Ordering guarantee: Are messages delivered in the order they were sent, or are they not?.Delivery guarantee: Are messages always delivered at least once, or is this not always the case?.Message queuing model: How are messages passed between two parties? Is it via a stream or a queue?.This article compares four major messaging platforms while focusing on the following five characteristics: How Are These Messaging Platforms Compared? Streaming is commonly used in real-time applications such as IoT and stock market order processing. These messages can be accessed in real time or from any point in history, unlike queues, where messages are removed. Message creators are called publishers or producers, message senders are called receivers or consumers, and messages are stored in files or topics.Ĭonsumers can subscribe to a log file or topic to receive a continuous stream of messages stored within. Streaming, or the publish-subscribe (pub-sub) model, has the capability to route messages to multiple queues that can be consumed by multiple consumers, who perform various operations based on the content of the messages. Generally, queuing is appropriate for use cases where there’s no requirement for real-time delivery or processing, such as batch processing, order fulfillment, or offline data processing. The messages are stored in the queue until they can be delivered, and they are generally deleted after that. The sender and receiver do not need to be connected at the same time, facilitating asynchronous communication. Message queuing, also known as point-to-point communication, involves sending messages to a queue, where they are stored until the intended recipient processes them. This reliable communication between services architecture is crucial for completing tasks in microservice, as each service is responsible for managing one specific function.įirst, let’s look at the two main types of messaging platforms. Messaging platforms provide a way for microservices to communicate and exchange data reliably and efficiently. In this roundup, you’ll learn the difference between the two types and compare four leading options: NATS, RabbitMQ, NSQ, and Kafka. However, with two different types of platforms-message queuing (point-to-point) or streaming (pub-sub) depending on the receiver and how the message is handled-and so many different messaging platforms popping up, choosing one can be a challenge. Messaging platforms can handle asynchronous message management and process large amounts of data with high throughput, greatly improving data delivery reliability.
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