Table of Contents
What problem does Apache Kafka solve?
Kafka came up with a solution to the problem with continuous streams of data, as there was no other solution at that moment that could handle such data flow. Kafka is a distributed streaming platform for building real-time data pipelines and real-time streaming applications.
What are the benefits of Apache Kafka?
Kafka was designed to deliver these distinct advantages over AMQP, JMS, etc.
- Kafka is highly scalable. Kafka is a distributed system, which is able to be scaled quickly and easily without incurring any downtime.
- Kafka is highly durable.
- Kafka is Highly Reliable.
- Kafka Offers High Performance.
Is Apache Kafka worth learning?
Kafka has become one of the most popular Apache projects. While you might not have millions of customers like these companies, Kafka can still provide very valuable services like: increased team agility, quick access to data, real-time data processing, easy data integration and asynchronous service communication.
What are the pros and cons of Kafka?
Advantages and Disadvantages of Kafka
- a. High-throughput. Without having not so large hardware, Kafka is capable of handling high-velocity and high-volume data.
- b. Low Latency.
- c. Fault-Tolerant.
- d. Durability.
- e. Scalability.
- f. Distributed.
- g. Message Broker Capabilities.
- h. High Concurrency.
Is Kafka a message bus?
Kafka is a message bus optimized for high-ingress data streams and replay. Kafka can be seen as a durable message broker where applications can process and re-process streamed data on disk.”
Is Kafka complicated?
IS IT EASY? Unfortunately, it’s not. For those who are new to Kafka, it can be difficult to grasp the concept of Kafka brokers, clusters, partitions, topics, and logs. You’ll also need to pick up how producers and consumers store and retrieve messages on Kafka clusters.
Is Apache Kafka free?
Apache Kafka® is free, and Confluent Cloud is very cheap for small use cases, about $1 a month to produce, store, and consume a GB of data. This is what usage-based billing is all about, and it is one of the biggest cloud benefits.
What is zero copy Kafka?
“Zero-copy” describes computer operations in which the CPU does not perform the task of copying data from one memory area to another. This is frequently used to save CPU cycles and memory bandwidth when transmitting a file over a network.[1]
What is Apache Kafka?
Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java. The Kafka event streaming platform is used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.
Is it good to know Kafka’s limitations?
It is good to know Kafka’s limitations even if its advantages appear more prominent then its disadvantages. However, consider it only when advantages are too compelling to omit. Here is one more condition that some disadvantages might be more relevant for a particular use case but not really linked to ours.
What are the advantages of Kafka for data lake implementation?
Basically, these Kafka advantages are making Kafka ideal for our data lake implementation. So, let’s start learning advantages of Kafka in detail: a. High-throughput Without having not so large hardware, Kafka is capable of handling high-velocity and high-volume data. Also, able to support message throughput of thousands of messages per second.
What are the issues with Kafka broker?
Message tweaking issues: The Kafka broker uses system calls to deliver messages to the consumer. In case, the message needs some tweaking, the performance of Kafka gets significantly reduced. So, it works well if the message does not need to change. Do not support wildcard topic selection: Apache Kafka does not support wildcard topic selection.