Data Artisans Unveils Open Source Apache Flink Stream Processing Platform

Businessman touching financial dashboard with key performance indicators

Data Artisans, founded by the original creators of Apache Flink, on Monday announced dA Platform 2, the next generation of its enterprise stream processing platform. Featuring the Application Manager, the new release productionizes stream processing and enables companies to provide real-time data applications as a centralized enterprise service.

dA Platform 2 dramatically reduces the manpower, cost, and effort required to provide a reliable and high-impact stream processing platform across an organization, according to the company.

Apache Flink is a powerful and expressive system for processing streams of data at massive scale. Its rich API, stateful event-at-a-time processing, low-latency and high-throughput performance make it the best choice for stream processing data applications.

Global companies such as Netflix, Uber, Alibaba, Capital One, Cisco, ING, and King, use Flink as the stream processing platform of choice for large-scale stateful applications, including real-time analytics, search and content ranking, and fraud/anomaly/threat detection.

New to dA Platform 2 is the Application Manager, which streamlines the process of deploying and maintaining real-time streaming applications in production, greatly reducing the time-to-market and personnel required for businesses to realize value from streaming.

It integrates with an organization’s existing streaming data sources, developer workflows, service deployment architecture, and logging and metrics infrastructure to be the nexus of all streaming data processing applications within the organization.

“The ability to react to data in real time is mission-critical for today’s enterprises, and Flink is being rapidly adopted for large-scale stateful applications that can process data instantly,” said Flink co-founder and data Artisans CEO Kostas Tzoumas. “dA Platform 2 makes it possible for enterprises to run streaming applications in production across their organization quickly and efficiently.”