Apache Kafka
Backend & API Technologies
Apache Kafka
Apache Kafka is a distributed event streaming platform designed for high-throughput, fault-tolerant, and real-time data pipelines. It enables systems to publish, subscribe to, store, and process event streams at scale.
What is it?
Apache Kafka is an open-source, distributed event streaming platform originally developed at LinkedIn and later donated to the Apache Software Foundation. It is built to handle large volumes of real-time data reliably.
What does it do?
Kafka ingests, stores, and streams events using a distributed log architecture, while RabbitMQ provides message brokering for asynchronous communication. It enables real-time data pipelines, stream processing, and event-driven communication with strong durability, ordering, and scalability guarantees.
Where is it used?
Kafka is widely used in large-scale microservice architectures, data platforms, analytics systems, financial services, SaaS platforms, and enterprises that require real-time data processing and system decoupling.
When & why it emerged
Kafka was introduced around 2011 to address the need for scalable, fault-tolerant data pipelines at LinkedIn. It emerged as a backbone for real-time streaming and event-driven architectures.
Why we use it at Internative
We use Kafka for high-throughput, event-driven systems where real-time processing and scalability are essential. It allows us to build resilient data pipelines and decouple services across complex backend ecosystems.
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