The terms “real-time data” and “streaming data” are the latest catch phrases being bandied about by almost every data vendor and company. Everyone wants the world to know that they have access to and ...

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 ...

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 ...

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 ...

Confluent's VP of Developer Relations details global initiatives, developer enablement, AI pipelines, for event-driven ...

Kong Inc. today introduced Kong Event Gateway, a new tool for managing real-time data streams powered by Apache Kafka. San Francisco-based Kong received a valuation of more than $2 billion in a ...

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 ...

Real-time streaming data has become a reality for an increasing number of enterprise applications. From the “internet of things” to artificial intelligence, from mobile analytics to a diverse range of ...

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 ...