NSQ
ZeroMQ
RabbitMQ
nanomsg
Apache ActiveMQ
ubus
D-Bus
mosquitto
Apache Kafka
RabbitMQ
Apache ActiveMQ
Amazon SQS
AFSAnalytics
Histats
StatCounter
KISSmetrics
Apache KafkaBased on our record, Apache Kafka seems to be a lot more popular than NSQ. While we know about 120 links to Apache Kafka, we've tracked only 7 mentions of NSQ. 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.
(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: about 1 year ago
Bit.ly's NSQ is also an excellent message queue option. Source: about 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
In today’s fast-paced digital landscape, effective data management and analysis are essential for businesses aiming to stay ahead of the curve. Fortunately, modern tools like Apache Kafka and RudderStack have revolutionized the way we handle and derive insights from large datasets. In this blog post, we’ll explore our experience implementing the Kafka Sink Connector to facilitate seamless event data transfer to... - Source: dev.to / about 1 month ago
Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a... - Source: dev.to / 2 months ago
Apache Kafka is a distributed streaming platform capable of handling high throughput of data, while ReductStore is a databases for unstructured data optimized for storing and querying along time. - Source: dev.to / 3 months ago
*Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...). - Source: dev.to / 3 months ago
RabbitMQ comes with administrative tools to manage user permissions and broker security and is perfect for low latency message delivery and complex routing. In comparison, Apache Kafka architecture provides secure event streams with Transport Layer Security(TLS) and is best suited for big data use cases requiring the best throughput. - Source: dev.to / 3 months ago
ZeroMQ - ZeroMQ is a high-performance asynchronous messaging library.
RabbitMQ - RabbitMQ is an open source message broker software.
Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.
nanomsg - nanomsg is a socket library that provides several common communication patterns.
Amazon SQS - Amazon Simple Queue Service is a fully managed message queuing service.
AFSAnalytics - AFSAnalytics.
