Real-time stream processing architectures differ significantly from batch processing: whereas batch processing requires massive amounts of storage and CPU and memory resources sufficient to churn ...

Previously, we introduced streaming, saw some of the benefits it can bring and discussed some of the architectural options and vendors / engines that can support streaming-oriented solutions. We now ...

Real-time data streaming is still early in its adoption, but over the next few years organizations with successful rollouts will gain a competitive advantage Today, there are many data sources—such at ...

On Confluent Cloud for Apache Flink®, snapshot queries combine batch and stream processing to enable AI apps and agents to act on past and present data New private networking and security features ...

Confluent has unveiled new capabilities that unite batch and stream processing to enable more effective AI applications and agents. The aim? Confluent wants to position itself as an essential platform ...