Apache Kafka is an open-source real-time streaming messaging system and protocol built around the publish-subscribe system. In this system, producers publish data to feeds for which consumers are subscribed to.
The platform was developed by LinkedIn and donated to the Apache Software Foundation and written in Scala and Java. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds. Kafka can connect to external systems (for data import/export) via Kafka Connect and provides Kafka Streams, a Java stream processing library. Kafka uses a binary TCP-based protocol that is optimized for efficiency and relies on a “message set” abstraction that naturally groups messages together to reduce the overhead of the network round trip.
Kafka is used for building real-time data pipelines and streaming apps. It is horizontally scalable, fault-tolerant, wicked fast, and runs in production in thousands of companies.
With Kafka, clients within a system can exchange information with higher performance and lower risk of serious failure. Instead of establishing direct connections between subsystems, clients communicate via a server which brokers the information between producers and consumers. Additionally, the data is partitioned and distributed across multiple servers.
With Kafka, clients within a system can exchange information with higher performance and lower risk of serious failure. Instead of establishing direct connections between subsystems, clients communicate via a server which brokers the information between producers and consumers. Additionally, the data is partitioned and distributed across multiple servers. Kafka replicates these partitions in a distributed system as well.
Our Apache kafka expert will define the data architecture, the data model and correct usage of Apache kafka. Define and develop producers and consumers, the correct cluster setting and optimization to make your business data pipelines to be processed in real time and zero down time.
