Kafka
Apache Kafka: The leading open-source event streaming platform for high-performance data pipelines and real-time analytics
About Kafka
Apache Kafka is a distributed event streaming platform trusted by over 80% of Fortune 100 companies. It enables high-throughput, low-latency data processing, scalable storage, and built-in stream processing for mission-critical applications across industries like manufacturing, banking, insurance, and telecom. With features like high availability, exactly-once processing, and seamless integration with hundreds of data sources, Kafka powers real-time data pipelines and analytics for organizations worldwide.
FAQ
Apache Kafka is used across various industries including manufacturing, banking, insurance, telecom, transportation, and energy and utilities, with adoption rates ranging from 7 to 10 out of the top ten largest companies in each sector.
Kafka can scale production clusters up to a thousand brokers, handle trillions of messages per day, manage petabytes of data, and support hundreds of thousands of partitions. It also allows elastic expansion and contraction of storage and processing.
Kafka offers high throughput with low latencies, permanent storage in a fault-tolerant cluster, high availability across regions, built-in stream processing, and integration with hundreds of event sources and sinks.
Yes, Kafka supports mission-critical use cases with features like guaranteed ordering, zero message loss, and efficient exactly-once processing.
Kafka provides an out-of-the-box Connect interface that integrates with hundreds of event sources and sinks, including Postgres, JMS, Elasticsearch, and AWS S3.
Kafka offers rich documentation, online training, guided tutorials, videos, sample projects, and a large ecosystem of open-source tools. It also has a vast user community with hundreds of meetups worldwide.
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