Apache Kafka Source Overview
Apache Kafka is a popular distributed platform for event streaming and building high-performance data pipelines. Kafka is open-source, and is used by thousands of companies for data streaming and analytics, data integration, and other data-driven applications.
Some of the key features of Apache Kafka include seamless scalability, integration with hundreds of event sources, high performance and throughput, as well as support for a large ecosystem of community-driven tools.
If building real-time data pipelines and streaming applications is your goal, then Apache Kafka is a must-have tool in your data stack.
Source
Event Stream
By connecting Apache Kafka as RudderStack Source, you can ingest events from your existing Kafka topics, transform them in real-time, apply data governance rules, and forward events any of RudderStack's 200+ integrations.
Once the source is configured and enabled, all the events from Kafka will automatically start flowing to RudderStack.
By Adding Kafka as a Source in RudderStack, you can:
- Skip custom integration work or pipeline management required to integrate Kafka data with other tools in your stack
- Centralize and simplify transformation and data governance across Kafka topics
- Forward Kafka messages to over 200 integrations, including business tools and data warehouses
About Apache Kafka Source
Apache Kafka is a popular distributed streaming platform. It allows you to handle large-scale workloads with high throughput and low latency. Apache Kafka is highly available and is used across the world for building real-time data pipelines and streaming applications.