Software Alternatives & Reviews

KafkaHQ VS Apache Kafka

Compare KafkaHQ VS Apache Kafka and see what are their differences

KafkaHQ logo KafkaHQ

Kafka GUI for Apache Kafka to manage topics, topics data, consumers group, schema registry, connect and more... - tchiotludo/kafkahq

Apache Kafka logo Apache Kafka

Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
  • KafkaHQ Landing page
    Landing page //
    2023-08-29
  • Apache Kafka Landing page
    Landing page //
    2022-10-01

KafkaHQ videos

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Apache Kafka videos

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

Category Popularity

0-100% (relative to KafkaHQ and Apache Kafka)
Data Integration
5 5%
95% 95
Data Dashboard
100 100%
0% 0
Stream Processing
3 3%
97% 97
Web Service Automation
0 0%
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 KafkaHQ and Apache Kafka

KafkaHQ Reviews

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Apache Kafka Reviews

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
NATS vs RabbitMQ vs NSQ vs Kafka | Gcore
One of the biggest drawbacks of Apache Kafka is the architecture that makes it so efficient. The combination of brokers and ZooKeeper nodes, along with numerous configurable options, can make it difficult and complex for new teams to set up and manage without encountering performance issues or data loss. However, Kafka can work without ZooKeeper after 3.3.1 version using...
Source: gcore.com

Social recommendations and mentions

Based on our record, Apache Kafka seems to be a lot more popular than KafkaHQ. While we know about 120 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.

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 2 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 2 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 / about 2 years ago

Apache Kafka mentions (120)

  • Empowering Real-Time Data Pipelines: Leveraging Apache Kafka and Rudderstack
    In today’s fast-paced digital landscape, effective data management and analysis are essential for businesses aiming to stay ahead of the curve. Fortunately, modern tools like Apache Kafka and RudderStack have revolutionized the way we handle and derive insights from large datasets. In this blog post, we’ll explore our experience implementing the Kafka Sink Connector to facilitate seamless event data transfer to... - Source: dev.to / about 1 month ago
  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a... - Source: dev.to / 3 months ago
  • How to Use Reductstore as a Data Sink for Kafka
    Apache Kafka is a distributed streaming platform capable of handling high throughput of data, while ReductStore is a databases for unstructured data optimized for storing and querying along time. - Source: dev.to / 3 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    *Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...). - Source: dev.to / 3 months ago
  • How to Build & Deploy Scalable Microservices with NodeJS, TypeScript and Docker || A Comprehesive Guide
    RabbitMQ comes with administrative tools to manage user permissions and broker security and is perfect for low latency message delivery and complex routing. In comparison, Apache Kafka architecture provides secure event streams with Transport Layer Security(TLS) and is best suited for big data use cases requiring the best throughput. - Source: dev.to / 3 months ago
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What are some alternatives?

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

Kafka Manager - A tool for managing Apache Kafka.

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.

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

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

Amazon SQS - Amazon Simple Queue Service is a fully managed message queuing service.