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Nsq vs kafka performance - High






What to Choose for Your Synchronous and Asynchronous Communication Needs—Redis Streams, Redis Pub/Sub, Kafka, etc.


Messaging queue platform offers a way to communicate asynchronously while improving performance and scalability.





Kafka was created by Linkedin in 2011 to handle high throughput, low latency processing.








High




Kafka is a persistent storage like the blockchain.



When using asynchronous communication for Microservices, it is common to use a message broker.





Each data set consists of multiple data points representing specific metrics.



Recently we confirmed a bug in v4.



Kafka's true value comes into play when you need to distribute the streaming load over lot's of resources.


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Description: This is important though because, by default, the client does not require an ack from the server.

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Views: 1933 Date: 15.04.2022 Favorited: 29 favorites
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Maybe not an obvious comparison with Kafka, since Kafka is pretty different from rabbitmq.
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The first challenge is fitting a log on a single server, but the real problem arises when the log gets full, and your business needs to scale out.
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With its segmented storage architecture, Pulsar allows data to expand independently and recover quickly without being constrained by scaling.

Latest Comments

    +231reps
    Best open source message queue systems form the middleware infrastructure for big data streaming, micro-services and cloud-based applications.
    By: Aiden
    +908reps
    Currently, the company is in the process of applying a set of rule engines to Pulsar to meet the growing demand for message subscriptions.
    By: Mackintosh
    +335reps
    It looks from the code like you even have a lookup table for the parameter names.
    By: Milo
    +33reps
    ProductItem-gallery-scroll::after{background:linear-gradient to bottom,rgba 255,255,255,0 0%, 000 100% }.
    By: Thorsten
    +54reps
    In my taste, you should go with a minialistic approach and try to avoid either of them if you can, especially if your architecture does not fall nicely into event sourcing.
    By: Pistol
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