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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Stream processing unifies applications and analytics by processing data as it arrives, in real-time, and detects conditions within a short period of time from when data is received. The key strength ...

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.

Once your C-suite acknowledges the value of events-driven processing, the next logical step is to transition your organization to programming that supports the strategy. The most promising emerging ...

We live in a world in motion. Stream processing allows us to record events in the real world so that we can take action or make predictions that will drive better business outcomes. The real world is ...

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 ...

Confluent Inc. today announced plans to buy Immerok GmbH, a startup with a platform that makes it easier to develop stream processing applications. The terms of the deal were not disclosed.

RisingWave Labs, a company developing a platform for data stream processing, today announced that it raised $36 million in a Series A funding round led by Yunqi Partners, undisclosed corporate ...

Choosing a stream processor is challenging because there are many options to choose from and the best choice depends on end-user use cases. Streaming SQL provides significant benefits with quicker ...