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Based on our record, Google Cloud Pub/Sub should be more popular than NSQ. It has been mentiond 15 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Secondly, Go is incredibly easy to learn and in my opinion, maintain. This means that if you're a growing company and expect to onboard new teams and team members, having Go as a basis for your systems should mean that new engineers can get up to speed quickly. Below is a small sample application that can connect to Google PubSub, subscribe to a topic, send an event and then clean up. In total, its 82 lines of... - Source: dev.to / 8 months ago
Google Cloud Pub/Sub is a fully-managed, globally scalable and secure queue provided by Google Cloud for asynchronous processing messages. Cloud Pub/Sub has many of the same advantages and disadvantages as SQS due to also being cloud hosted. It has a free and paid tier. - Source: dev.to / about 1 year ago
Cloud Pub/Sub: A global messaging service for event-driven architectures. - Source: dev.to / about 1 year ago
Google Cloud Functions is a FaaS offering from Google Cloud Platform (GCP). It allows developers to run their code in response to events, such as changes in a database or the arrival of a message in a Pub/Sub topic. Like AWS Lambda, Google Cloud Functions can be used to build a variety of applications, including serverless websites, data processing pipelines, and real-time data streams. - Source: dev.to / over 1 year ago
That gets triggered when a Pub/Sub topic is fired (from the webhook function). - Source: dev.to / over 1 year ago
(G)NATS can do millions of messages per second and is the right tool for the job (either that or NSQ). Redis isn't even the fastest Redis protocol implementation, KeyDB significantly outperforms it. Source: over 1 year ago
Bit.ly's NSQ is also an excellent message queue option. Source: over 1 year ago
Queue consumers are interesting because there are many solutions for them, from using Redis and persisting the data in a data store - but for fast and scalable the approach I would take is something like SQS (as I advocate AWS even free tier) or NSQ for managing your own distributed producers and consumers. Source: over 1 year ago
Distrubition server engine ( for example websocket server multi ws gateway and worker pool,nsq.io realtime message queue and so on). Source: almost 2 years ago
NSQ is a message queue implemented by Golang, and all messages are routed through NSQ. Reasons for choosing NSQ compared to other MQs: decentralized distribution (direct connection between production and consumption), low latency, No ordering, high performance, simple binary protocol. - Source: dev.to / about 2 years ago
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
RabbitMQ - RabbitMQ is an open source message broker software.
ZeroMQ - ZeroMQ is a high-performance asynchronous messaging library.
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
nanomsg - nanomsg is a socket library that provides several common communication patterns.
PieSync - Seamless two-way sync between your CRM, marketing apps and Google in no time