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Apache Kafka VS KafkaHQ

Compare Apache Kafka VS KafkaHQ and see what are their differences

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Apache Kafka logo Apache Kafka

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

KafkaHQ logo KafkaHQ

Kafka GUI for Apache Kafka to manage topics, topics data, consumers group, schema registry, connect and more... - tchiotludo/kafkahq
  • Apache Kafka Landing page
    Landing page //
    2022-10-01
  • KafkaHQ Landing page
    Landing page //
    2023-08-29

Apache Kafka features and specs

  • High Throughput
    Kafka is capable of handling thousands of messages per second due to its distributed architecture, making it suitable for applications that require high throughput.
  • Scalability
    Kafka can easily scale horizontally by adding more brokers to a cluster, making it highly scalable to serve increased loads.
  • Fault Tolerance
    Kafka has built-in replication, ensuring that data is replicated across multiple brokers, providing fault tolerance and high availability.
  • Durability
    Kafka ensures data durability by writing data to disk, which can be replicated to other nodes, ensuring data is not lost even if a broker fails.
  • Real-time Processing
    Kafka supports real-time data streaming, enabling applications to process and react to data as it arrives.
  • Decoupling of Systems
    Kafka acts as a buffer and decouples the production and consumption of messages, allowing independent scaling and management of producers and consumers.
  • Wide Ecosystem
    The Kafka ecosystem includes various tools and connectors such as Kafka Streams, Kafka Connect, and KSQL, which enrich the functionality of Kafka.
  • Strong Community Support
    Kafka has strong community support and extensive documentation, making it easier for developers to find help and resources.

Possible disadvantages of Apache Kafka

  • Complex Setup and Management
    Kafka's distributed nature can make initial setup and ongoing management complex, requiring expert knowledge and significant administrative effort.
  • Operational Overhead
    Running Kafka clusters involves additional operational overhead, including hardware provisioning, monitoring, tuning, and scaling.
  • Latency Sensitivity
    Despite its high throughput, Kafka may experience increased latency in certain scenarios, especially when configured for high durability and consistency.
  • Learning Curve
    The concepts and architecture of Kafka can be difficult for new users to grasp, leading to a steep learning curve.
  • Hardware Intensive
    Kafka's performance characteristics often require dedicated and powerful hardware, which can be costly to procure and maintain.
  • Dependency Management
    Managing Kafka's dependencies and ensuring compatibility between versions of Kafka, Zookeeper, and other ecosystem tools can be challenging.
  • Limited Support for Small Messages
    Kafka is optimized for large throughput and can be inefficient for applications that require handling a lot of small messages, where overhead can become significant.
  • Operational Complexity for Small Teams
    Smaller teams might find the operational complexity and maintenance burden of Kafka difficult to manage without a dedicated operations or DevOps team.

KafkaHQ features and specs

No features have been listed yet.

Apache Kafka videos

+ Add

Apache Kafka Tutorial | What is Apache Kafka? | Kafka Tutorial for Beginners | Edureka

More videos:

  • Review - Apache Kafka - Getting Started - Kafka Multi-node Cluster - Review Properties
  • Review - 4. Apache Kafka Fundamentals | Confluent Fundamentals for Apache Kafka®
  • Review - Apache Kafka in 6 minutes
  • Review - Apache Kafka Explained (Comprehensive Overview)
  • Review - 2. Motivations and Customer Use Cases | Apache Kafka Fundamentals

KafkaHQ videos

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Category Popularity

0-100% (relative to Apache Kafka and KafkaHQ)

Apache Kafka

KafkaHQ

Stream Processing
100 100%
Stream Processing
0% 0
Business Intelligence
0 0%
Business Intelligence
100% 100
Data Integration
100 100%
Data Integration
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

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Reviews

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

Apache Kafka Reviews

Best ETL Tools: A Curated List
Debezium is an open-source Change Data Capture (CDC) tool that originated from RedHat. It leverages Apache Kafka and Kafka Connect to enable real-time data replication from databases. Debezium was partly inspired by Martin Kleppmann’s "Turning the Database Inside Out" concept, which emphasized the power of the CDC for modern data pipelines.
Source: estuary.dev
Best message queue for cloud-native apps
If you take the time to sort out the history of message queues, you will find a very interesting phenomenon. Most of the currently popular message queues were born around 2010. For example, Apache Kafka was born at LinkedIn in 2010, Derek Collison developed Nats in 2010, and Apache Pulsar was born at Yahoo in 2012. What is the reason for this?
Source: docs.vanus.ai
Are Free, Open-Source Message Queues Right For You?
Apache Kafka is a highly scalable and robust messaging queue system designed by LinkedIn and donated to the Apache Software Foundation. It's ideal for real-time data streaming and processing, providing high throughput for publishing and subscribing to records or messages. Kafka is typically used in scenarios that require real-time analytics and monitoring, IoT applications,...
Source: blog.iron.io
10 Best Open Source ETL Tools for Data Integration
It is difficult to anticipate the exact demand for open-source tools in 2023 because it depends on various factors and emerging trends. However, open-source solutions such as Kubernetes for container orchestration, TensorFlow for machine learning, Apache Kafka for real-time data streaming, and Prometheus for monitoring and observability are expected to grow in prominence in...
Source: testsigma.com
11 Best FREE Open-Source ETL Tools in 2024
Apache Kafka is an Open-Source Data Streaming Tool written in Scala and Java. It publishes and subscribes to a stream of records in a fault-tolerant manner and provides a unified, high-throughput, and low-latency platform to manage data.
Source: hevodata.com

KafkaHQ Reviews

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Social recommendations and mentions

Based on our record, Apache Kafka seems to be a lot more popular than KafkaHQ. While we know about 144 links to Apache Kafka, we've tracked only 3 mentions of KafkaHQ. 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.

Apache Kafka mentions (144)

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KafkaHQ mentions (3)

  • Show HN: After AKHQ (KafkaHQ), I Made Kestra Open-Source Airflow Alternative
    The project start as a side project (yet another side project I do the night and weekend) but was quickly promoted and used in a French Big Retail Company. This one trust on the project and decide to go production with Kestra. So they decide to inject some resource in order to develop some features that need and that is missing. But basically, not so much people for now. We are trying to start a community around... - Source: Hacker News / about 3 years ago
  • Show HN: After AKHQ (KafkaHQ), I Made Kestra Open-Source Airflow Alternative
    Hey HN, I'm really proud to share with you my new open source project: Kestra https://github.com/kestra-io/kestra I created a few years ago a successful open source AKHQ project: https://github.com/tchiotludo/akhq (renamed from KafkaHQ) which has been adopted by big companies like Best Buy, Pipedrive, BMW, Decathlon and many more. 2300 stars, 120 contributors, 10M docker downloads, much more than I expected. Now... - Source: Hacker News / about 3 years ago
  • Kestra, infinitely scalable open source orchestration and scheduling platform.
    Three years ago, I started another open source project, AKHQ, with the same license. Working with a successful project was an invaluable experience for me as I was able to learn how to build a community around a project. I've also learnt that an open source system won't pay the bills on its own. AKHQ required a lot of personal investment; Kestra has required a lot more and will continue to do so in the future!... - Source: dev.to / over 3 years ago

What are some alternatives?

When comparing Apache Kafka and KafkaHQ, you can also consider the following products

RabbitMQ - RabbitMQ is an open source message broker software.

KafkaCenter - See what developers are saying about how they use KafkaCenter. Check out popular companies that use KafkaCenter and some tools that integrate with KafkaCenter.

Histats - Start tracking your visitors in 1 minute!

Kafka Manager - A tool for managing Apache Kafka.

StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.

rdkafka - The Apache Kafka C/C++ library. Contribute to edenhill/librdkafka development by creating an account on GitHub.

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