The way that computing is done is changing dramatically. Instead of a program with a finite input, we now have programs with infinite streams as inputs. Why does this matter, and why is the change ...

Bain says in-memory data grids are particularly well suited for streaming data processing, because of their ability to not only ingest data fast, but also analyze them on the fly.

Big data is a moving target, and it comes in waves: before the dust from each wave has settled, new waves in data processing paradigms rise. Streaming, aka real-time / unbounded data processing ...

Unlike existing solutions, the company says, its Smart Streaming Architecture also provides accurate contextual state and embedded machine learning without sacrificing scale, performance or accuracy ...

The rise of streaming architectures — frameworks of software components built to ingest and process large volumes of data from multiple sources — is driving the demand for better reliability ...

Data Stream Processing and Streaming Analytics - In contrast to the traditional database model where data is stored, indexed and subsequently queried, stream processing takes the inbound data while it ...

StreamNative, the cloud-native data streaming company founded by the original creators of Apache Pulsar, today made a series of announcements at this week's Data Streaming Summit 2024, including ...