According to a new press release, “Alluxio, developer of open source data orchestration technology used by seven of the world’s top 10 Internet companies, today announced at AWS Summit New York the availability of Alluxio 2.0 with breakthrough innovations for data engineers managing and deploying analytical and AI workloads in the cloud, particularly for hybrid and multi-cloud environments. The rise of compute intensive workloads and the adoption of the cloud has driven organizations to adopt a decoupled architecture for modern workloads – one in which compute scales independently from storage. While this enables scaling elasticity, it introduces new data engineering problems – this is where an abstraction layer is needed. Just as compute and containers need Kubernetes, with data silos only increasing, data also needs orchestration – a tier, one that brings data locality, data accessibility and data elasticity to compute across data silos, zones, regions and even clouds.”

Haoyuan Li, Founder and CTO of Alluxio, commented, “With a data orchestration platform in place, a data analyst or scientist can work under the assumption that the data will be readily accessible regardless of where the data resides or the characteristics of the storage. They can focus on building data driven analytical and AI applications to create values, without worrying about the environment and vendor lock-in… These new advancements to Alluxio’s data orchestration platform further cement our commitment to a cloud-native, open source approach to enabling applications to be compute, storage and cloud agnostic.”

Read more at Globe Newswire.

Image used under license from Shutterstock.com