It’s very simple to publish data to a topic, and Kafka handles the routing, scalability, durability, availability, etc. Multiple consumers coordinate subscription to these topics, to fetch data ...

Kafka is used for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Topics Spotlight: AI-ready data centers ...

The Apache Kafka phenomenon reached a new high today when Confluent announced a $50 million investment from the venture capital firm Sequoia. The investment signals renewed confidence that Kafka is ...

IBM Watson Studio: Analyze data using RStudio, Jupyter, and Python in a configured, collaborative environment that includes IBM value-adds, such as managed Spark.; Apache Spark: An open-source ...

The kafka-delta-ingest project aims to build a highly efficient daemon for streaming data through Apache Kafka into Delta Lake. This project is currently in production in a number of organizations and ...

The release of Kafka 0.9, its commercial counterpart Confluent Platform 2.0, and new distro component MapR Streams, bring prominence and maturity to streaming data processing in the Hadoop ecosystem.

Apache Kafka has become a popular solution for managing networked data streaming in a variety of applications, from industrial to general purpose. This paper systematically surveys the research ...

Straight-talk from Confluent leaders on tackling cloud-native Kafka challenges, driving generative AI with data streaming, and revolutionizing real-time insights. Subscribe 0 ...