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KubeMQ VS Apache Pulsar

Compare KubeMQ VS Apache Pulsar and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

KubeMQ logo KubeMQ

Kubernetes message broker and message queue platform. An open-source project providing the most efficient way to connect microservices.

Apache Pulsar logo Apache Pulsar

Apache Pulsar is an open-source, distributed messaging and streaming platform built for the cloud.
  • KubeMQ Landing page
    Landing page //
    2023-10-14
  • Apache Pulsar Landing page
    Landing page //
    2023-12-17

KubeMQ videos

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Apache Pulsar videos

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Introduction to Apache Pulsar Basics

Category Popularity

0-100% (relative to KubeMQ and Apache Pulsar)

KubeMQ

Apache Pulsar

Data Integration
57 57%
Data Integration
43% 43
Developer Tools
0 0%
Developer Tools
100% 100
Web Service Automation
54 54%
Web Service Automation
46% 46
Stream Processing
100 100%
Stream Processing
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare KubeMQ and Apache Pulsar

KubeMQ Reviews

Best message queue for cloud-native apps
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...
Source: docs.vanus.ai

Apache Pulsar Reviews

Best message queue for cloud-native apps
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.
Source: docs.vanus.ai

Social recommendations and mentions

Apache Pulsar might be a bit more popular than KubeMQ. We know about 1 link to it since March 2021 and only 1 link to KubeMQ. 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.

KubeMQ mentions (1)

  • Message broker for simple strings, sockets
    KubeMQ can be a good choice because it supports both Queue and Stream patterns, which are simple to use and deploy in microservices. Source: about 1 year ago

Apache Pulsar mentions (1)

  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    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 / 4 months ago

What are some alternatives?

When comparing KubeMQ and Apache Pulsar, you can also consider the following products

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.

MuleSoft Anypoint Platform - Anypoint Platform is a unified, highly productive, hybrid integration platform that creates an application network of apps, data and devices with API-led connectivity.

NATS - NATS.io is an open source messaging system for cloud native applications, IoT messaging, Edge, and microservices architectures.

Azure Logic Apps - Discover the leading Integration Platform as a Service (iPaaS) that enables key enterprise scenarios for developers to build powerful integration solutions quickly.

Memphis - Highly scalable, and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming applications fast.

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