Apache Flink is made for applications that continuously apply the same business logic to a series of inputs. That’s most business applications By Fabian Hueske and Stephan Ewen, committers and PMC ...

SAN FRANCISCO--(BUSINESS WIRE)--MapR Technologies, Inc., provider of the industry’s only Converged Data Platform, today announced at Kafka Summit 2016 it is now offering stream processing training via ...

MongoDB announced that Atlas Stream Processing is now in public preview, allowing developers the flexibility and ease of use of the document model alongside the Query API. With Atlas Stream Processing ...

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 ...

Stream processing systems are pivotal to modern data-driven environments, enabling the continual ingestion, processing and analysis of unbounded data streams across distributed computing resources.

Confluent Inc. today announced plans to buy Immerok GmbH, a startup with a platform that makes it easier to develop stream processing applications. The terms of the deal were not disclosed.

BERLIN and SAN FRANCISCO, March 28, 2018 — data Artisans, founded by the original creators of Apache Flink, today announced the general availability of dA Platform – the industry’s first turnkey ...

The ability to move, manage and process data in real time is the domain of data streaming, which is largely dominated by a series of open-source technologies. The ability to stream data is a core ...

A monthly overview of things you need to know as an architect or aspiring architect. Dany Lepage discusses the architectural journey of porting a hit VR title to seven non-VR platforms. He explains ...

This guest post comes from Neha Narkhede, co-founder and CTO at Confluent, a startup focused on Apache Kafka and founded by its creators. Data systems in the modern world aren't islands that stand on ...

Choosing a stream processor is challenging because there are many options to choose from and the best choice depends on end-user use cases. Streaming SQL provides significant benefits with quicker ...