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 ...

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 ...

Apache Flink is made for applications that continuously apply the same business logic to a series of inputs. That’s most business applications By Fabian Hueske and Stephan Ewen, committers and PMC ...

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 ...

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 ...

Impetus Technologies, has announced StreamAnalytix 3.0, which adds support for Apache Spark-based batch processing and enriched online and offline machine learning features. The new capabilities are ...