Choosing a stream processor for your app can be challenging with many options to choose from. The best choice depends on individual use cases. In this article, the authors discuss a stream ...

Adi Polak, Director of Advocacy and Developer Experience Engineering at Confluent, presented "Stream All the Things—Patterns of Effective Data Stream Processing" at the latest QCon San Francisco.

As AI shifts from experimental phases to mission-critical roles—such as fraud detection, live recommendation engines, and real-time video analytics—the traditional batch-first data processing approach ...

Hence, many stream processing applications have inherent time semantics, such as applications that produce aggregates in intervals or evaluate temporal patterns on a sequence of events.

With Apache Flink’s support for event-time stream processing, data and analytics teams of such smart city projects are able to process the data based on the timestamp that they have (essentially based ...

Streaming data is hot, and open source stream processing platform Apache Kafka is growing in popularity, significantly. In this guest post, Neha Narkede, CTO and co-founder of Confluent (the ...

Quine, a real-time graph data processing engine for ETL pipelines, has reached a performance benchmark of processing one million events per second, according to its maker, thatDot. Named after ...

Confluent, Inc., the data streaming pioneer, announced new Confluent Cloud capabilities that make it easier to process and secure data for faster insights and decision-making. Snapshot queries ...

Redpanda Data Inc., creator of a streaming data platform aimed at the software developers, today announced it has raised $50 million in a new funding round, bringing its total funding to $76 ...

The stream processors in the GPU handle most of the traditional graphics rendering tasks, or can be alternatively programmed for more general-purpose number crunching.