Powered be DASE™: The First New Distributed Systems Architecture, Eliminate Any Boundaries in Your Data Management.
Conceived 20 years after Google introduced the idea of shared-nothing systems, VAST’s new Disaggregated and Shared-Everything Architecture is designed to break the conventional scaling limits of distributed systems. We call it DASE.
DASE architecture decouples compute logic from system state and introduces new shared and transactional data structures that (in combination) lay the foundation for the next generation of AI-infused computing.
DASE fuses capacity with performance, data with rich metadata, edge with cloud and simplicity with scale. Data and systems concepts that were previously mutually exclusive now co-exist harmoniously in a platform that IDC hails as ’the architecture of the future.
The VAST Data Platform is not just about storage; it’s about intelligent storage. As unstructured data is ingested using any of the supported industry-standard protocols, a contextual layer is automatically added, bringing structure and meaning to that data. This real-time enrichment, combined with the platform’s ability to stream structured and semi-structured data, facilitates immediate data analysis across all of your data.
Its ability to ingest millions of transactional row-based data per second and then run queries using granular columnar formats enables customers to amplify query speeds by over 20X. Businesses can now analyze real-time and archived data by consolidating their streaming and analytical workloads, making data-driven decision-making faster and more efficient.
One global namespace contains all your data, whether on-premises or in the cloud. This eliminates data silos and streamlines data management. Once data is written, it is immediately available in any location, with flexible synchronization policies to address various use cases. Our unique distributed locking at a granular level – be it file, object, or table – ensures strict consistency with each write, providing accurate, up-to-date data. Even with its global reach, the platform offers local performance to applications, making data access fast and seamless.
The VAST Data Platform stands out in its ability to seamlessly integrate with and meet the performance of AI workloads. All data from edge-to-cloud can be read or written using industry- standard NFS, SMB, S3, K8S CSI, GPUDirect™, and RDMA protocols, enabling all your workloads to access data the way they were designed to, while simultaneously supporting your AI initiative. Leveraging DASE, the performance requirements of the most data-intensive GPU-based AI workloads are met without having to introduce yet another bespoke solution.
