The industry is undergoing a clear and significant shift as big data computing transitions from offline to real-time processing. This transition is revolutionizing various sectors, including the E-commerce, automotive networking, finance, and beyond, where real-time data applications are becoming integral to operations. This evolution enables organizations to unlock greater value by leveraging real-time insights to drive business impact and enhance decision-making.

Earlier this year at Flink Forward 2024 Berlin we announced Fluss and today we are thrilled to announce open-sourcing the project. Fluss is a streaming storage system designed to power real-time analytics. It aspires to change how organizations approach real-time data by acting as the real-time data layer for the Lakehouse. Its cutting-edge design enables businesses to achieve sub-second latency, high throughput, and cost efficiency for data analytics, making it the ideal solution for modern data-driven applications.

We have historically invested a lot of effort into advancing the data streaming ecosystem, being major contributors to Apache Flink®, Apache Flink CDC, and Apache Paimon. As part of our commitment, Fluss is now open source under the Apache 2.0 license and is available on GitHub, inviting users to create the next generation of real-time architectures.