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Kibana VS RabbitMQ

Compare Kibana VS RabbitMQ and see what are their differences

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

Kibana logo Kibana

Easily visualize data pushed into Elasticsearch from Logstash, es-hadoop or 3rd party technologies...

RabbitMQ logo RabbitMQ

RabbitMQ is an open source message broker software.
  • Kibana Landing page
    Landing page //
    2023-10-21
  • RabbitMQ Landing page
    Landing page //
    2023-10-03

Kibana videos

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Analyzing Server Logs with Kibana

More videos:

  • Review - Grafana vs Kibana | Beautiful data graphs and log analysis systems

RabbitMQ videos

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數據工程 | 快速review | 如何架設Docker Swarm + RabbitMQ？？

More videos:

  • Review - What's New in RabbitMQ—June 2012 Edition
  • Review - Feature complete: Uncovering the true cost different RabbitMQ features and configs - Jack Vanlightly

Category Popularity

0-100% (relative to Kibana and RabbitMQ)

Kibana

RabbitMQ

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Data Integration
0 0%
Data Integration
100% 100
Log Management
100 100%
Log Management
0% 0
Web Service Automation
0 0%
Web Service Automation
100% 100

User comments

Share your experience with using Kibana and RabbitMQ. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Kibana and RabbitMQ

Kibana Reviews

Top 10 Grafana Alternatives in 2024
Assess how well the Grafana alternative integrates with your existing tools stack. For instance, Kibana is best suited for Elasticsearch environments, while Middleware is the most advanced solution to operate and monitor in Kubernetes environments.
Source: middleware.io
Top 11 Grafana Alternatives & Competitors [2024]
Kibana is an integral component within the Elastic Stack (ELK), offering advanced visualization and analysis capabilities. Beats, which is also a part of the ELK Stack, is responsible for collecting and forwarding log data to Logstash for initial processing. Logstash, in turn, applies various data transformations and subsequently stores the processed data in Elasticsearch....
Source: signoz.io
10 Best Linux Monitoring Tools and Software to Improve Server Performance [2022 Comparison]
Lastly, the Elastic Stack (ELK Stack) is a well-known tool for Linux performance monitoring. It’s composed of Elasticsearch (full-text search), Logstash (a log aggregator), Kibana (visualization via graphs and charts), and Beats (lightweight metrics collectors and shippers).
Source: sematext.com
4 Best Open Source Dashboard Monitoring Tools In 2019
Kibana is part of Elastic’s product suite and is often used in what we call an ELK stack : ElasticSearch + Logstash + Kibana.
Source: devconnected.com

RabbitMQ Reviews

Best message queue for cloud-native apps
RabbitMQ is an open-source message broker software that allows applications to communicate with each other using a messaging protocol. It was developed by Rabbit Technologies and first released in 2007, which was later acquired by VMware.RabbitMQ is based on the Advanced Message Queuing Protocol (AMQP) and provides a reliable, scalable, and interoperable messaging system.
Source: docs.vanus.ai
Are Free, Open-Source Message Queues Right For You?
However, it's important to note that every tool has its strengths and use cases. For instance, Kafka's strength lies in real-time data streaming, NATS shines with its simplicity, and RabbitMQ provides support for complex routing. In contrast, IronMQ provides an excellent balance of simplicity, durability, scalability, and ease of management, making it a powerful choice for...
Source: blog.iron.io
NATS vs RabbitMQ vs NSQ vs Kafka | Gcore
RabbitMQ follows a standard store-and-forward pattern, allowing messages to be stored in RAM, on disk, or both. To ensure the persistence of messages, the producer can tag them as persistent, and they will be stored in a separate queue. This helps achieve message retention even after a restart or failure of the RabbitMQ server.
Source: gcore.com
6 Best Kafka Alternatives: 2022’s Must-know List
Due to RabbitMQ’s lightweight design, it can be easily deployed on public and private clouds. RabbitMQ is backed not only by a robust support system but also offers a great developer community. Since it is open-source software it is one of the best Kafka Alternatives and RabbitMQ is free of cost.
Source: hevodata.com
Top 15 Alternatives to RabbitMQ In 2021
In this article, we will discuss an overview on RabbitMQ Alternatives. RabbitMQ has a flexible messaging system and functions as a multipurpose broker. But it often stops working, because of its high latency and very slow while doing so. The deployment & management of RabbitMQ is a too dull procedure. It can not be installed as modules, it can be installed only on machines...
Source: gokicker.com

Social recommendations and mentions

Based on our record, RabbitMQ seems to be more popular. It has been mentiond 1 time 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.

Kibana mentions (0)

We have not tracked any mentions of Kibana yet. Tracking of Kibana recommendations started around Mar 2021.

RabbitMQ mentions (1)

What are some alternatives?

When comparing Kibana and RabbitMQ, you can also consider the following products

Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.

Prometheus - An open-source systems monitoring and alerting toolkit.

IBM MQ - IBM MQ is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms.

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