In this special guest feature, Rob Malnati, COO of thatDot, explains the data debate between stream vs. batch processing. Rob is a repeat entrepreneur focused on enterprise infrastructure as software.

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 ...

Discover how ISVs are moving beyond batch processing to build high-margin, real-time data streaming features in their software.

This guest post comes from Neha Narkhede, co-founder and CTO at Confluent, a startup focused on Apache Kafka and founded by its creators. Data systems in the modern world aren't islands that stand on ...

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 ...

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Confluent Inc. today announced new features in its cloud service that make it easier for users of its Apache Kafka-based streaming engine to store data in the Apache Iceberg table format. The new ...

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 ...