Kafka Manager vs rdkafka

Overview

Kafka Manager

Stacks70

Followers173

Votes1

rdkafka

Stacks34

Followers14

Votes0

Kafka Manager vs rdkafka: What are the differences?

Introduction

In this Markdown code, we will discuss the key differences between Kafka Manager and rdkafka. Kafka Manager and rdkafka are two different tools used in the context of Apache Kafka, a distributed streaming platform.

Ease of Use: Kafka Manager is a web-based GUI tool that provides a user-friendly interface to manage and monitor Kafka clusters. It simplifies various tasks such as creating, modifying, and deleting topics, managing partitions, and monitoring consumer lag. On the other hand, rdkafka is a C/C++ library that provides a low-level API for interacting with Kafka. It requires developers to write code in a programming language and provides more control over the Kafka interactions.
Functionality: Kafka Manager is primarily focused on cluster management, topic management, and monitoring capabilities. It offers features like reassigning partitions, viewing consumer groups, and monitoring metrics. On the other hand, rdkafka is a client library that allows developers to produce and consume messages from Kafka. It provides comprehensive support for various Kafka features such as message compression, message headers, and transactional operations.
Support for Different Programming Languages: Kafka Manager is implemented as a web application and can be used with any web-enabled device. It does not depend on any specific programming language and can be accessed through a browser. On the other hand, rdkafka is a client library primarily designed for C/C++ applications. It provides bindings for several programming languages, including C++, Python, and Java.
Deployment and Scalability: Kafka Manager is typically deployed as a standalone application and can be installed on a server or accessed through a cloud-based service. It provides a user-friendly interface for managing multiple Kafka clusters and scaling resources as per the requirements. On the other hand, rdkafka is a library that can be integrated into existing applications. It offers flexibility in choosing the deployment architecture and allows scaling based on the underlying application's requirements.
Supported Kafka Versions: Kafka Manager provides support for managing different versions of Apache Kafka. It is compatible with Kafka 0.8.2.0 and later versions. On the other hand, rdkafka is a library that provides support for different Kafka versions and is usually updated to align with the latest Kafka releases. It allows developers to utilize the features provided by the Kafka version of their choice.
Community and Support: Kafka Manager is an open-source tool with an active community of contributors. It is supported by the community, and users can seek help and guidance from the community forums or issue trackers. On the other hand, rdkafka is also an open-source project with a dedicated community that provides support and actively maintains the library. Users can get assistance through the community forums, documentation, or GitHub repositories.

In summary, Kafka Manager is a web-based GUI tool focused on ease of use, cluster management, and monitoring of Kafka clusters. On the other hand, rdkafka is a client library that offers flexibility in choosing the programming language, provides low-level API access, and supports various Kafka features.

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CLI (Node.js)

Manual

Detailed Comparison

Kafka Manager	rdkafka
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.	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+.
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)	Open source
Statistics
Stacks 70	Stacks 34
Followers 173	Followers 14
Votes 1	Votes 0
Pros & Cons
Pros 1 Better Insights for Kafka cluster	No community feedback yet
Integrations
Kafka	Ruby Kafka

What are some alternatives to Kafka Manager, rdkafka?

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.

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.

Kafdrop

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.

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

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

Lenses

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

KafkaCenter

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

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.

Kattlo CLI

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

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.

Related Comparisons

Kafka Manager vs rdkafka: What are the differences?

Introduction

Ease of Use: Kafka Manager is a web-based GUI tool that provides a user-friendly interface to manage and monitor Kafka clusters. It simplifies various tasks such as creating, modifying, and deleting topics, managing partitions, and monitoring consumer lag. On the other hand, rdkafka is a C/C++ library that provides a low-level API for interacting with Kafka. It requires developers to write code in a programming language and provides more control over the Kafka interactions.
Functionality: Kafka Manager is primarily focused on cluster management, topic management, and monitoring capabilities. It offers features like reassigning partitions, viewing consumer groups, and monitoring metrics. On the other hand, rdkafka is a client library that allows developers to produce and consume messages from Kafka. It provides comprehensive support for various Kafka features such as message compression, message headers, and transactional operations.
Support for Different Programming Languages: Kafka Manager is implemented as a web application and can be used with any web-enabled device. It does not depend on any specific programming language and can be accessed through a browser. On the other hand, rdkafka is a client library primarily designed for C/C++ applications. It provides bindings for several programming languages, including C++, Python, and Java.
Deployment and Scalability: Kafka Manager is typically deployed as a standalone application and can be installed on a server or accessed through a cloud-based service. It provides a user-friendly interface for managing multiple Kafka clusters and scaling resources as per the requirements. On the other hand, rdkafka is a library that can be integrated into existing applications. It offers flexibility in choosing the deployment architecture and allows scaling based on the underlying application's requirements.
Supported Kafka Versions: Kafka Manager provides support for managing different versions of Apache Kafka. It is compatible with Kafka 0.8.2.0 and later versions. On the other hand, rdkafka is a library that provides support for different Kafka versions and is usually updated to align with the latest Kafka releases. It allows developers to utilize the features provided by the Kafka version of their choice.
Community and Support: Kafka Manager is an open-source tool with an active community of contributors. It is supported by the community, and users can seek help and guidance from the community forums or issue trackers. On the other hand, rdkafka is also an open-source project with a dedicated community that provides support and actively maintains the library. Users can get assistance through the community forums, documentation, or GitHub repositories.

Kafka Manager vs rdkafka

Overview

Kafka Manager vs rdkafka: What are the differences?