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.

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 ...

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 ...

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Data can be likened to a stream of water when a large amount of data is generated continuously. A variety of data including applications, networked devices, server log files, various online activities ...

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 ...

In 2011, the Apache Software Foundation released Flink, a high-throughput, low-latency engine for streaming various data types. A decade later, a startup called Immerok — founded by David Moravek, ...

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 ...

StreamBase Systems, Inc., the source for software to process, analyze, and act on real-time data within milliseconds of its arrival, today announced a new version of the StreamBase stream processing ...