Preventing downtime in real-time data processing ensures that businesses can leverage timely insights, fostering agility and informed decision-making.

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 Topics Spotlight: New Thinking about ...

Kinetica accelerates vector similarity search with NVIDIA RAPIDS RAFT SAN JOSE, Calif., March 20, 2024 (GLOBE NEWSWIRE) -- Kinetica, the real-time GPU-accelerated database for analytics and ...

The ability to process large data sets is no longer enough for modern business: today's climate demands near real time data processing. As a response to modern world requirements, the open source ...

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 ...

Through real-time data and AI, manufacturers have the ability to consistently monitor and troubleshoot live, solving any production issues before a disruption or hazard occurs,” said Baudis.

The streaming analytics market (which depending on definitions, may just be one segment of real-time data processing) is projected to grow from $15.4 billion in 2021 to $50.1 billion in 2026, at a ...