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.

StarTree Inc., the developer of a managed service based on the Apache Pinot real-time data analytics platform, today rolled out a set of enhancements aimed at helping organizations more efficiently ...

Apache Beam, a unified programming model for both batch and streaming data, has graduated from the Apache Incubator to become a top-level Apache project. Aside from becoming another full-fledged ...

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 ...

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 ...

Developers can now leverage real-time data using standard ANSI SQL, with new functionality including elastic storage separated from compute, strict-serializability, active replication and horizontal ...

Data streaming solutions are a powerful tool for industries that depend on real-time data processing, from fintech companies managing transactions to e-commerce platforms providing personalized ...

Overview: Modern big data tools like Apache Spark and Apache Kafka enable fast processing and real-time streaming for smarter ...

Confluent is positioning itself as the "context layer for enterprise AI" with new capabilities that aim to solve the problem plaguing generative AI investments—lack of fresh, trustworthy data—by ...

LONDON--(BUSINESS WIRE)--Confluent, Inc. (Nasdaq: CFLT), the data streaming pioneer, announced new Confluent Cloud capabilities that make it easier to process and secure data for faster insights and ...