The event stream processing market is growing rapidly due to increasing demand for real-time analytics, expanding IoT adoption, and rising use across key industries.Austin, April 13, 2026 (GLOBE ...
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 ...
Stream processing systems are pivotal to modern data-driven environments, enabling the continual ingestion, processing and analysis of unbounded data streams across distributed computing resources.
Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...
Stream All the Things: Patterns of Effective Data Stream Processing Explored by Adi Polak at QCon SF
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
The ability to move, manage and process data in real time is the domain of data streaming, which is largely dominated by a series of open-source technologies. The ability to stream data is a core ...
MENLO PARK, Calif.--(BUSINESS WIRE)--DeltaStream, Inc., the serverless stream processing platform, today announced it has raised $15M in Series A funding from New Enterprise Associates (NEA), Galaxy ...
MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--Confluent, Inc. (NASDAQ:CFLT), the data streaming pioneer, announced the general availability of Confluent Platform for Apache Flink ® with added ...
Complex Event Processing (CEP) and Data Stream Management represent pivotal fields at the intersection of computer science and information systems, enabling the real‐time detection, analysis, and ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Learn how to use advanced techniques like short-circuiting, parallel execution, virtual threads, and stream gatherers to maximize Java stream performance. My recent Java Stream API tutorial introduced ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results