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.

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Smart devices that communicate with other smart devices, known as Internet of Things (IoT) applications, have revolutionized the modern way of life. From self-driving cars to interactive gaming, IoT ...

The Apache Kafka phenomenon reached a new high today when Confluent announced a $50 million investment from the venture capital firm Sequoia. The investment signals renewed confidence that Kafka is ...

Cloud-native streaming database startup RisingWave Labs Ltd. said today it has closed on a $36 million round of funding that brings its total amount raised to date to more than $40 million. Today’s ...

If you've ever gotten a more spacious closet, a larger desk, or even a bigger house, you've probably been surprised at how quickly it fills up and no longer seems quite big enough. Business computers ...

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 ...

SQLstream, Inc., the Big Data Stream Processors company, recently announced the availability of its Stream Processor for Apache Storm, the open source distributed stream computing framework, making ...

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What is a distributed system? A distributed system is a collection of independent computers that appear to the user as a single coherent system. To accomplish a common objective, the computers in a ...