This leaves only about 25% of companies doing immediate streaming analytics on real-time data. But these are the use cases that are getting much more attention.

The Graph, the open, universal data layer for web3, announced today a strategic integration with the TRON blockchain network.

Another stream processing vendor to keep an eye on is RisingWave Labs.The company, which builds a distributed SQL streaming database, recently launched a fully managed version of its product. Dubbed ...

Stream processing is designed to analyze and act on real-time streaming data, ... and the live data mart. [Click on the image to enlarge it] Figure 2: Stream Processing Architecture.

Real-time data streaming is still relatively early in its adoption, but there’s no doubt that over the next few years, organizations with successful rollouts will gain a competitive advantage.

Once it’s in that stream, you can then start hanging off connectors and say, ‘Okay, well, I also want to peek into the stream, I want to transfer my data, I want to filter out some things, I ...

Apache Kafka and other real-time streaming platforms are important to the technology infrastructure as they collect the multiple CDC data streams and move the data to one or more targets. And as ...

Streaming, aka real-time / unbounded data processing, is one of these new paradigms. Many organizations have adopted it already, others have it in their radar, and almost every prediction for 2017 ...

Data streaming company Confluent just hosted the first Kafka Summit in Asia in Bengaluru, India. The event saw a massive turnout from the Kafka community — over 30% of the global community comes ...

The real-time streaming of data to foreign service officials around the world is key to the future of U.S. diplomacy, according to the CIO of the State Department’s Bureau of Intelligence and Research ...