Streaming data platform Kafka uses a “publish-and-subscribe” model that links data sources to data receivers to enable constant and distributed monitoring. Written by eWEEK content and product ...

Customers only pay for the data that streamed through the service as part of Confluent’s new consumption-based pricing model. Both announcements, made this morning at the company’s Kafka Summit London ...

At first glance, Kafka appears to implement a well-established software pattern—that of message-oriented middleware. Message-oriented middleware systems follow a publish/subscribe model in which data ...

Spark and Kafka are involved in processing, analyzing and transporting this data. As steaming applications ... solutions is the model that’s winning out today. I think we'll see a similar ...

VentureBeat: What technology are you using for this model? Delooze: We use Apache Kafka to capture the events, and then we use MongoDB to hold the data from the event stores, and then we will use ...

Redpanda is a Kafka-compatible streaming data platform that the company says is high performance ... In December 2022, Redpanda began offering a bring-your-own-cloud deployment model that it says ...

This ties in with the deployment model for Apache Pulsar ... as well as a host of supported connectors for different data sources in Kafka Connect. With managed services being offered by Amazon ...

where ‘sensory input’ from Kafka can be continuously used to score data science models. When you inject an AI model into the streaming BI server predictions continually update as conditions ...

In Kreps’ view, the model that Confluent will build out with Flink can be thought of as a real-time data version of a data warehouse or data lakehouse. Confluent’s existing Kafka Streams ...

Hadoop and big data platforms were originally known for scale, not speed. But the arrival of high performance compute engines like Spark and streaming engines have cleared the way for bringing ...