Data streaming solutions are a powerful tool for industries that depend on real-time data processing, from fintech companies managing transactions to e-commerce platforms providing personalized ...

Discover how ISVs are moving beyond batch processing to build high-margin, real-time data streaming features in their software.

Redpanda, the well-funded Kafka-compatible streaming data platform that competes with the likes of Confluent, on Thursday announced that it has acquired open source stream-processing platform Benthos.

Water flowing over the brink of the Lower Falls on the Yellowstone River, Yellowstone National Park, Wyoming, September, 2014. Image courtesy Jim Peaco/Yellowstone National Park. (Photo via Smith ...

Streaming data is generated continuously, often by thousands of data sources, such as sensors or server logs. Streaming data records are often small, perhaps a few kilobytes each, but there are many ...

Example of data stream descriptions for a heartrate sensor (left) and the secure transformation of its data policies (data access requirements, right). Vizard preserves public metadata attributes (e.g ...

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 ...

For malicious actors, generative AI (gen AI) presents stealthier, more efficient, and increasingly effective methods for launching cyberattacks. Cybercriminals can now analyze entire organizational ...