Confluent is positioning itself as the "context layer for enterprise AI" with new capabilities that aim to solve the problem ...

Data stream processing is defined as a system performing transformations for creating analytics on data inside a stream. In Part 1 of this series, we defined data streaming to provide an understanding ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Aiven, a cloud-data platform based in Helsinki, has fleshed out an ...

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 ...

Confluent, Inc.'s user markets for data streaming have a long runway ahead. Open source Apache Kafka is ubiquitously used for data streaming. Confluent's wheelhouse is scalable data streaming and ...

SANTA CLARA, Calif., April 14, 2020 — Pepperdata announced the availability of Streaming Spotlight, a new product in Pepperdata’s data analytics performance suite. The suite is purpose-built for IT ...

As CEO of Confluent, which offers enterprise-grade capabilities for the open source Kafka event streaming platform, Jay Kreps is as well-versed in the technology as his two co-founders, having ...

When Confluent launched a cloud service in 2017, it was trying to reduce some of the complexity related to running a Kafka streaming data application. Today, it introduced a free tier to that cloud ...

Streaming data is generated continuously, often by thousands of data sources, such as sensors or server logs. Streaming data records are often small, perhaps a few kilobytes each, but there are many ...