Real-time data processing is the handling of data as it arrives, so it is available for use almost as immediately as it is created and collected. This term is most often used in the context of a ...

IBM's $11B Confluent acquisition completes its hybrid cloud stack, with Kafka streaming joining Red Hat and HashiCorp for ...

IBM has struck a definitive agreement to buy real-time data streaming platform developer Confluent in a deal valued at $11 billion, the companies said Monday. IBM said that with Confluent’s technology ...

Streaming data observability startup Datorios Ltd. today announced the immediate availability of a new real-time observability platform for the big-data processing framework Apache Flink. With the new ...

In industries relying on up-to-the-minute insights, interruptions disrupt crucial processes, hindering timely responses to market changes and the accuracy of analytical outcomes. This can lead to ...

Traditional cloud computing faces various challenges when processing large amounts of data in real time. 'Edge' computing is a promising alternative and can benefit from devices known as physical ...

The ability to index, query, and analyze large amounts of data from real-time sources remains a major headache for anyone involved in building database systems. Data retrieval takes time and even that ...

Real-time data streaming is still early in its adoption, but over the next few years organizations with successful rollouts will gain a competitive advantage Today, there are many data sources—such at ...

Real-time data processing is hot. Pioneers like Netflix have been doing it for years and reaping the benefits. Big on Data has been onto this for years, too. Now the rest of the world seems to be ...