Kafka can give enterprises the ability to gain insights closer to real-time, instead of moving data in bulk. Data can then stream into the Kafka message queue, which then reaches a certain tipping ...

The patent summary indicates that the invention discloses a data processing system, method, terminal, and storage medium based on Kafka and Elasticsearch. The system includes: a data reporting module ...

Apache Kafka — a distributed publish and subscribe message queue that’s open source and relatively easy-to-use –by far is the most popular of these open source frameworks, and Kafka is seen today by ...

That's the context for today's announcement of Streams Messaging Manager (SMM), a new DPS module that adds more visibility to Kafka message queues. The new offering visualizes what's going on in ...

Apache Kafka users leverage the Striim platform to continuously collect real-time data from enterprise databases, logs, sensors, and message queues, process data in-flight, without coding, before ...

The partnership centers on hooking the Confluent Platform into the Cloud Pak for Integration (CP4i), which is IBM’s offering for running enterprise data and application integration workloads in a ...

While RabbitMQ and other messaging platforms built on AMQP (Advanced Message Queuing Protocol) have been widely used for years, LinkedIn developed Kafka in-house in order to route a larger number ...