Kafka : a Distributed Messaging System for Log Processing

By J. Kreps. 2011

1,307 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges (2017, background): “SCRIBE [37], Kafka [38], Time-Tunnel [39], and Chukwa [40] are examples of architectures that conduct off-line analytics and can satisfy the demands of data acquisition.”
Smart Cities: A Survey on Data Management, Security, and Enabling Technologies (2017, background): “To implement this service, a middleware called a message broker is required, such as Kafka, RabbitMQ, or Mosquitto.”
Twitter Heron: Stream Processing at Scale (2015, background): “Spouts often pull data from queues, such as Kafka [14] and Kestrel [13], and generate a stream of tuples, which is then fed into a network of bolts that carry out the required computation.”
A Hitchhiker's Guide On Distributed Training of Deep Neural Networks (2018, methodology): “There have been several modifications proposed in the Raft protocol in systems like Zookeeper [32], Kafka [33] to name a few.”
Storm@twitter (2014, background): “Typical spouts pull data from queues, such as Kafka [13] or Kestrel [14].”
PriPeARL: A Framework for Privacy-Preserving Analytics and Reporting at LinkedIn (2018, unknown): “Two work ows are set up to process raw tracking data (in the form of various Kafka [26] events generated from the member facing application, such as impressions as well”