Updated January 2022
Apache Kafka is hugely popular because of its features that guarantee uptime, make it easy to scale, enable Kafka to handle high volumes, and much more. In this article we will discuss the Top 10 Apache Kafka features to help you evaluate if Kafka is the right technology for your company’s business and technical needs.
What is Apache Kafka?
Apache Kafka is an open source platform that handles an incredibly high volume of data passing from one endpoint to another guaranteeing all data is delivered. Kafka guarantees data is delivered by using a queue system. Kafka receives data, adds it to a queue, and a consumer of the data reads from the queue as the database is able.
Apache Kafka’s fault tolerance is a product of it being a distributed messaging system that implements pieces of the two traditional messaging models, Shared Message Queues and Publish-Subscribe. Read more about how Kafka uses consumer groups for event scaling here.
Imagine you have a program that publishes user data to a database. Normally, if user data is sent to the database and the database is offline, the user data is lost. With Kafka, the user data will wait in a queue for the database to come back online.
Hopefully you can see the incredible value there is in ensuring 100% of data sent is received and why Apache Kafka is so important.
Top 10 Apache Kafka Features
Below we describe the Top 10 Kafka Features that make it the best technology for many data streaming applications.
Apache Kafka can scale data producers, data brokers, and data consumers. Whether you have a few data producers creating a large dataset sending to many groups of data consumers or the other way around — Kafka has you covered.
Kafka can handle moving any amount of data from bytes to petabytes a day.
#3 Guaranteed Once Processing
Kafka, a distributed application, will coordinate Kafka brokers to guarantee data is only sent once.
#4 Guaranteed Ordering
While scaling horizontally across many servers, Kafka maintains the ordering of your data.
Kafka is a distributed application with a configurable amount of replicas offering high availability.
#6 Off-site Replication
Kafka can replicate all data to another cluster in another datacenter keeping your data online in the case of a disaster.
Kafka performs with any amount of data sent through it, reducing server costs.
#8 Zero Downtime
Kafka has no downtime requirements for upgrading. Kafka cluster health can be monitored by a myriad of tools to allow preventative maintenance.
In fact, at Dattell our managed Kafka as a Service comes with a 99.99% uptime guarantee for Kafka hosted on your servers. Learn more about Apache Kafka as a managed service here.
Kafka’s popularity over the last several years has encouraged many other applications to develop integrations with Kafka. This makes for the easy addition of new functionality, such as plugging in to other applications.
#10 Free To Use
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