Top 10 Kafka Features | Why Apache Kafka Is So Popular
Today, in the series of Kafka tutorial, we will learn all Kafka Features like scalability, reliability, durability, that shows why Kafka is so popular. We will discuss each feature of Kafka in detail.
You are reading about Kafka so you very well know that Kafka is getting huge popularity among developers and companies are demanding skilled Kafka professionals. DataFlair’s Kafka Feature article will tell you why it is getting so much popularity and our Kafka Certification Course will help you to become the next skilled Kafka professional.
So, let’s start with Kafka Features.
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What is Apache Kafka?
To handle a high volume of data and enables us to pass messages from one end-point to another, Apache Kafka is a distributed publish-subscribe messaging system. It is suitable for both offline and online message consumption. Moreover, in order to prevent data loss, Kafka messages are persisted on the disk and replicated within the cluster. In addition, it is built on top of the ZooKeeper synchronization service. While it comes to real-time streaming data analysis, it can also integrate very well with Apache Storm and Spark. There are many more features of Apache Kafka. Let’s discuss them in detail.
Top 10 Apache Kafka Features
Here, is the list of most important Apache Kafka features:
Apache Kafka can handle scalability in all the four dimensions, i.e. event producers, event processors, event consumers and event connectors. In other words, Kafka scales easily without downtime.
Kafka can work with the huge volume of data streams, easily.
c. Data Transformations
Kafka offers provision for deriving new data streams using the data streams from producers.
d. Fault Tolerance
The Kafka cluster can handle failures with the masters and databases.
Since Kafka is distributed, partitioned, replicated and fault tolerant, it is very Reliable.
It is durable because Kafka uses Distributed commit log, that means messages persists on disk as fast as possible.
For both publishing and subscribing messages, Kafka has high throughput. Even if many TB of messages is stored, it maintains stable performance.
h. Zero Downtime
Kafka is very fast and guarantees zero downtime and zero data loss.
There are as many ways by which applications can plug in and make use of Kafka. In addition, offers ways by which to write new connectors as needed.
By using ingest pipelines, it can replicate the events.
So, this was all about Apache Kafka Features. Hope you like our explanation.
Conclusion – Kafka Features
Hence, we have seen the best Apache Kafka features, that makes it very popular among all. However, if you want to ask any query regarding these features of Kafka, feel free to ask through the comment tab. Hope it helps!