Streaming data records are typically small, measured in mere kilobytes, but the stream often goes on and on without ever stopping. Streaming data, also called event stream processing, is usually ...

The more data you can process in a shorter time frame, the greater the chance you have to gain that all-important edge against your rivals. Increasingly, this means stream processing — a type of data ...

One of those is real-time stream data processing, interest in which has been quietly building over the past couple of years for several high-impact use cases. IDC says the stream processing market is ...

In-memory data grids (IMDGs) historically have exceled in applications that require the fastest processing times and the lowest latencies. By adding a stream processing engine, called Jet, to its IMDG ...

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 ...

Azure users can now deploy Cribl Stream’s data routing and processing on the Azure platform to better manage IT and security data in the cloud. Data processing platform developer Cribl is ...

Previously, we introduced streaming, saw some of the benefits it can bring and discussed some of the architectural options and vendors / engines that can support streaming-oriented solutions.

“The data lives inside customer network, but we have the processing engine.” Streaming or real-time data is data that arrives continually from sources such as sensors, process monitors and ...

Slogans like ‘data is the new oil’ were widely accepted as unquestionable truth. But with this hype, different ideas and solutions have been considered, and then rejected. Event stream processing may ...

RisingWave Labs is attracting money because it’s on a mission to democratize a data stream processing technology that until now has been available to only a select few organizations. Stream ...

We call such a form of data processing stream data. In streaming data, various types of data sources can be collected, managed, stored, analyzed in real time and provided with information.