- What is Kafka and how it works?
- What is a Kafka broker?
- Why is Kafka so popular?
- What is the difference between Kafka and spark?
- Does Kinesis use Kafka?
- Can I use Kafka as database?
- Why is Kafka so fast?
- Which is better Kafka or RabbitMQ?
- Can Kafka lost messages?
- How many Kafka brokers should I have?
- What is in Kafka?
- What is Kafka in simple words?
- What is mean by Kafka?
- Is Kafka pull or push?
- Is it possible to use Kafka without zookeeper?
What is Kafka and how it works?
Apache Kafka is a publish-subscribe based durable messaging system.
A messaging system sends messages between processes, applications, and servers.
Apache Kafka is a software where topics can be defined (think of a topic as a category), applications can add, process and reprocess records..
What is a Kafka broker?
A Kafka broker receives messages from producers and stores them on disk keyed by unique offset. A Kafka broker allows consumers to fetch messages by topic, partition and offset. Kafka brokers can create a Kafka cluster by sharing information between each other directly or indirectly using Zookeeper.
Why is Kafka so popular?
Kafka is easy to set up and use, and it is easy to figure out how Kafka works. However, the main reason Kafka is very popular is its excellent performance. … In addition, Kafka works well with systems that have data streams to process and enables those systems to aggregate, transform, and load into other stores.
What is the difference between Kafka and spark?
Key Difference Between Kafka and Spark Kafka is a Message broker. Spark is the open-source platform. … Kafka provides real-time streaming, window process. Where Spark allows for both real-time stream and batch process.
Does Kinesis use Kafka?
Like many of the offerings from Amazon Web Services, Amazon Kinesis software is modeled after an existing Open Source system. In this case, Kinesis is modeled after Apache Kafka. Kinesis is known to be incredibly fast, reliable and easy to operate.
Can I use Kafka as database?
The main idea behind Kafka is to continuously process streaming data; with additional options to query stored data. Kafka is good enough as database for some use cases. However, the query capabilities of Kafka are not good enough for some other use cases.
Why is Kafka so fast?
Kafka relies on the filesystem for the storage and caching. The problem is disks are slower than RAM. This is because the seek-time through a disk is large compared to the time required for actually reading the data. But if you can avoid seeking, then you can achieve latencies as low as RAM in some cases.
Which is better Kafka or RabbitMQ?
Kafka offers much higher performance than message brokers like RabbitMQ. It uses sequential disk I/O to boost performance, making it a suitable option for implementing queues. It can achieve high throughput (millions of messages per second) with limited resources, a necessity for big data use cases.
Can Kafka lost messages?
Kafka is speedy and fault-tolerant distributed streaming platform. However, there are some situations when messages can disappear. It can happen due to misconfiguration or misunderstanding Kafka’s internals.
How many Kafka brokers should I have?
Kafka Brokers contain topic log partitions. Connecting to one broker bootstraps a client to the entire Kafka cluster. For failover, you want to start with at least three to five brokers. A Kafka cluster can have, 10, 100, or 1,000 brokers in a cluster if needed.
What is in Kafka?
kafka.apache.org. Apache Kafka is an open-source stream-processing software platform developed by the Apache Software Foundation, written in Scala and Java. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.
What is Kafka in simple words?
Kafka is an open source software which provides a framework for storing, reading and analysing streaming data. Being open source means that it is essentially free to use and has a large network of users and developers who contribute towards updates, new features and offering support for new users.
What is mean by Kafka?
Apache Kafka is a distributed publish-subscribe messaging system that receives data from disparate source systems and makes the data available to target systems in real time. Kafka is written in Scala and Java and is often associated with real-time event stream processing for big data.
Is Kafka pull or push?
With Kafka consumers pull data from brokers. Other systems brokers push data or stream data to consumers. … Since Kafka is pull-based, it implements aggressive batching of data. Kafka like many pull based systems implements a long poll (SQS, Kafka both do).
Is it possible to use Kafka without zookeeper?
You can not use kafka without zookeeper. … So zookeeper is used to elect one controller from the brokers. Zookeeper also manages the status of the brokers, which broker is alive or dead. Zookeeper also manages all the topics configuration, which topic contains which partitions etc.