Home  >  Article  >  Java  >  Overview of five common Kafka visualization tools

Overview of five common Kafka visualization tools

WBOY
WBOYOriginal
2024-02-01 09:18:201934browse

Overview of five common Kafka visualization tools

Five common tools for Kafka visualization tools

1. Kafka Manager

Kafka Manager is an open source Web UI for managing Apache Kafka clusters . It allows users to view cluster status, create and manage topics, generate and consume messages, and manage users and permissions. Kafka Manager is written in Java and runs on any Java 8 or higher platform.

2. Confluent Control Center

Confluent Control Center is a commercial web UI for managing Apache Kafka clusters. It provides similar functionality to Kafka Manager but also includes additional features such as cluster monitoring, alerting, and auditing. Confluent Control Center is written in Scala and runs on any Java 8 or higher platform.

3. Strimzi Kafka UI

Strimzi Kafka UI is an open source web UI for managing Apache Kafka clusters. It provides similar functionality to Kafka Manager and Confluent Control Center, but includes additional features such as support for Kubernetes and OpenShift. Strimzi Kafka UI is written in JavaScript and runs in any modern web browser.

4. Aiven Kafka UI

Aiven Kafka UI is a commercial web UI for managing Apache Kafka clusters. It provides similar functionality to Kafka Manager, Confluent Control Center, and Strimzi Kafka UI, but also includes some additional features such as support for the Aiven Kafka service. Aiven Kafka UI is written using ReactJS and runs in any modern web browser.

5. Kafka Eagle

Kafka Eagle is an open source web UI for managing Apache Kafka clusters. It provides similar functionality to Kafka Manager, Confluent Control Center, Strimzi Kafka UI, and Aiven Kafka UI, but also includes some additional features such as support for stream processing and machine learning. Kafka Eagle is written in Java and runs on any Java 8 or higher platform.

Comparison

The following table compares five common Kafka visualization tools:

##ToolsOpen SourceBusinessFeaturesSupported Platforms##Kafka ManagerConfluent Control CenterStrimzi Kafka UIAiven Kafka UIKafka EagleConclusion
is No View cluster status, create and manage topics, generate and consume messages, manage users and permissions Java 8 or higher
No Yes View cluster status, create and manage topics, generate and consume messages, manage users and permissions, cluster monitoring, alerts and Audit Java 8 or higher
Yes No View Cluster State, create and manage topics, generate and consume messages, manage users and permissions, support Kubernetes and OpenShift Any modern web browser
No Yes View cluster status, create and manage topics, generate and consume messages, manage users and permissions, support Aiven Kafka service Any modern web browser Server
Yes No View cluster status, create and manage topics, generate and consume messages, manage Users and permissions, support for stream processing and machine learning Java 8 or higher

Kafka visualization tools can help users Manage Apache Kafka clusters more easily. These tools provide a variety of functionality, including viewing cluster status, creating and managing topics, producing and consuming messages, and managing users and permissions. Some tools also provide additional features such as cluster monitoring, alerting, auditing, support for Kubernetes and OpenShift, and support for stream processing and machine learning.

Users can choose the Kafka visualization tool that best suits their needs. Open source tools are often free but may not be as feature-rich as commercial tools. Commercial tools often offer more functionality, but may require payment.

The above is the detailed content of Overview of five common Kafka visualization tools. For more information, please follow other related articles on the PHP Chinese website!

Statement:
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn