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  4. Kafka Tools
  5. Kafdrop vs Kafka Manager

Kafdrop vs Kafka Manager

OverviewComparisonAlternatives

Overview

Kafka Manager
Kafka Manager
Stacks70
Followers173
Votes1
Kafdrop
Kafdrop
Stacks13
Followers25
Votes0
GitHub Stars6.0K
Forks887

Kafdrop vs Kafka Manager: What are the differences?

Introduction

In the world of real-time messaging systems, Apache Kafka has emerged as a popular choice for its distributed, fault-tolerant, and scalable nature. To effectively manage and monitor Kafka clusters, specialized tools like Kafdrop and Kafka Manager have been developed. While both tools serve similar purposes, there are key differences that set them apart.

  1. User Interface: Kafdrop provides a simple and intuitive user interface, making it easy for users to navigate and monitor their Kafka clusters. On the other hand, Kafka Manager offers a more feature-rich interface with advanced functionalities for managing topics, partitions, consumers, and more.

  2. Connectivity: Kafdrop offers a seamless integration with Kafka via the Kafka REST proxy, enabling easy communication between the tool and the Kafka brokers. Kafka Manager, on the other hand, directly connects to the Kafka brokers using a ZooKeeper ensemble, providing real-time management capabilities without the need for an intermediate proxy.

  3. Deployment: Kafdrop can be easily deployed as a Docker container, making it highly portable and suitable for containerized environments. In contrast, Kafka Manager requires manual installation and configuration, often involving additional dependencies such as a ZooKeeper ensemble.

  4. Metrics and Monitoring: Kafdrop provides basic monitoring capabilities, displaying key metrics such as current offset, lag, and partition count. Kafka Manager goes beyond basic monitoring and offers advanced metrics visualization, allowing users to analyze consumer offsets, traffic patterns, resource utilization, and more.

  5. Access Control: Kafdrop does not natively support access control mechanisms, relying on external authentication and authorization solutions. Kafka Manager, on the other hand, provides built-in support for role-based access control (RBAC), allowing administrators to manage user permissions and restrict access to certain functionalities.

  6. Alerting and Notifications: Kafdrop lacks built-in alerting and notification mechanisms, requiring external tools or manual checks to address critical events or issues. Kafka Manager offers configurable alerts and notifications, enabling users to set up notifications for specific events such as high CPU usage, replication failures, or consumer lag.

In summary, Kafdrop and Kafka Manager differentiate themselves based on their user interface, connectivity options, deployment methods, monitoring capabilities, access control mechanisms, and alerting/notification features.

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Detailed Comparison

Kafka Manager
Kafka Manager
Kafdrop
Kafdrop

This interface makes it easier to identify topics which are unevenly distributed across the cluster or have partition leaders unevenly distributed across the cluster. It supports management of multiple clusters, preferred replica election, replica re-assignment, and topic creation. It is also great for getting a quick bird’s eye view of the cluster.

It is a web UI for viewing Kafka topics and browsing consumer groups. The tool displays information such as brokers, topics, partitions, consumers, and lets you view messages.

Manage multiple clusters;Easy inspection of cluster state (topics, brokers, replica distribution, partition distribution);Run preferred replica election;Generate partition assignments (based on current state of cluster);Run reassignment of partition (based on generated assignments)
View Kafka brokers — topic and partition assignments, and controller status; View topics — partition count, replication status, and custom configuration; Browse messages — JSON, plain text and Avro encoding; View consumer groups — per-partition parked offsets, combined and per-partition lag; Create new topics; View ACLs; Support for Azure Event Hubs
Statistics
GitHub Stars
-
GitHub Stars
6.0K
GitHub Forks
-
GitHub Forks
887
Stacks
70
Stacks
13
Followers
173
Followers
25
Votes
1
Votes
0
Pros & Cons
Pros
  • 1
    Better Insights for Kafka cluster
No community feedback yet
Integrations
Kafka
Kafka
Kafka
Kafka

What are some alternatives to Kafka Manager, Kafdrop?

Kafka REST

Kafka REST

It provides a RESTful interface to a Kafka cluster. It makes it easy to produce and consume messages, view the state of the cluster, and perform administrative actions without using the native Kafka protocol or clients. Examples of use cases include reporting data to Kafka from any frontend app built in any language, ingesting messages into a stream processing framework that doesn't yet support Kafka, and scripting administrative actions.

rdkafka

rdkafka

This gem is a modern Kafka client library for Ruby based on librdkafka. It wraps the production-ready C client using the ffi gem and targets Kafka 1.0+ and Ruby 2.3+.

Kafka UI

Kafka UI

It is a simple tool that makes your data flows observable, helps find and troubleshoot issues faster and deliver optimal performance. Its lightweight dashboard makes it easy to track key metrics of your Kafka clusters - Brokers, Topics, Partitions, Production, and Consumption.

Kowl

Kowl

It is a web application that helps you to explore messages in your Apache Kafka cluster and get better insights on what is actually happening in your Kafka cluster in the most comfortable way.

KafkaHQ

KafkaHQ

It is a Kafka GUI for topics, topics data, consumers group, schema registry, connect and more. It works with modern Kafka cluster.

Lenses

Lenses

It is a simple and secure self service DataOps platform, to operate with confidence on Apache Kafka & Kubernetes.

DoctorKafka

DoctorKafka

DoctorKafka can automatically detect broker failure and reassign the workload on the failed nodes to other nodes. DoctorKafka can also perform load balancing based on topic partitions's network usage, and makes sure that broker network usage does not exceed the defined settings.

KafkaCenter

KafkaCenter

It is a unified one-stop platform for Kafka cluster management and maintenance, producer / consumer monitoring, and use of ecological components.

Kattlo CLI

Kattlo CLI

It is for enterprises that need a stable way to change Apache Kafka configurations. It maintains the configuration and avoids drifts.

Monokl

Monokl

It is an open source downloadable desktop tool that works across all platforms and provides a simple way to visualize the performance of your Kafka cluster.

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