Universal Storage for Data Analytics

Welcome to Insight in Realtime

Universal Storage is the foundation for modern, real-time data driven enterprises delivering valuable insight at unprecedented speed, reliability and security. Overcome the challenges of legacy architectures crippled by the tradeoffs between performance and scale with VAST’s Disaggregated Shared Everything (DASE) architecture.

Trusted by the world’s leading data-driven organizations
View All Customers
View All Customers

Get the power of a high-performance file system, the simplicity of a NAS, and the scalability, capability and affordability of a data lake. Universal Storage is a next-generation distributed data store unifying file and object storage into one simple to deploy, all-flash system.

Overview

All-flash data lakes at archive economics.

As enterprises continue to shift away from batch-oriented tools of the Hadoop era and embrace real-time computing tools, the data science stack needs to evolve to keep pace. Most legacy and even new storage systems fail to scale performance affordably for current applications and can’t scale beyond a few petabytes. In addition, the proliferation of ad hoc and interactive query engines imposes significant I/O requirements combined with the surge in Python programming and GPU-accelerated computing, means customers need to evolve beyond HDFS and traditional object storage solutions.

Until now, it hasn’t been economically practical to store an entire data corpus on a single, ultra-fast flash storage platform. With its unique disaggregated and shared everything (DASE) architecture, VAST has rethought every aspect of storage system design to break all the tradeoffs of DAS and shared-nothing architectures, delivering a system that provides unprecedented price-performance and exabyte scale. The result is a highly scalable and affordable all-flash, file and object platform that allows you to run petabyte and exabyte scale analysis at less than half of the cost of traditional all-flash solutions, while being many times faster.

images
images

Customer information and travel supplier data are our most vital assets and we need a data science platform that can easily and cost-effectively scale with our growth. To help provide our customers with the best value for their travel needs, we require a high-performance big data solution to run our machine learning algorithms, that’s also infinitely scalable to meet our future needs.

Idan Zalzberg
Chief Data Officer, Agoda (A Bookings.com Subsidiary)
Key Benefits

A smarter way to power query engines.

VAST has broken the decades-old tradeoff between storage performance and storage capacity by engineering a new type of parallel file system and object storage architecture with multi-protocol, exabyte-scale, all-flash storage that enables unlimited processing on affordable flash. This breakthrough storage platform provides predictable, real-time performance with the capacity to support thousands of queries simultaneously and gives query engines the capacity they need to be able to randomly read across massive data sets. It delivers superior scalability, resilience, and Quality of Service (QoS) at a radically lower TCO for rapidly evolving data analytics applications.

All Flash, at Archive Economics:

Deploy all-flash infrastructure for all your active data sets. VAST's new advancements in commodity flash management, data protection and reduction deliver a lower TCO than hybrid storage alternatives.

Scale Without Feature Compromise

Get near-limitless snapshots, enterprise replication, user and admin auditing, remote monitoring, online upgrades and expansions and so much more. Break the scalability & data management simplicity compromise.

SAN-level performance via Ethernet

VAST systems feature universal data access to NFS, SMB and S3 clients, consolidating datasets into one namespace. RDMA and multi-path access achieve parallel file system performance with trusted NAS protocols.

A Unified, Multi-Protocol Platform

Process data to any application: data can be delivered across NFS, SMB and S3. The VAST Element Store is a universal permissions management model that arbitrates access across supported protocols.

Real-Time Data Access at Any Scale

VAST’s DASE architecture scales performance linearly as your data volumes grow. Access is optimized for the ways in which research and data science pipelines need to achieve optimal processor efficiency.

Superior Data Reduction

VAST’s all-new similarity-based data reduction combines the global approach of deduplication with the byte-granular approach to pattern matching only before found in compression, providing the industry’s highest level of data reduction.

All Flash, at Archive Economics:

Deploy all-flash infrastructure for all your active data sets. VAST's new advancements in commodity flash management, data protection and reduction deliver a lower TCO than hybrid storage alternatives.

Scale Without Feature Compromise

Get near-limitless snapshots, enterprise replication, user and admin auditing, remote monitoring, online upgrades and expansions and so much more. Break the scalability & data management simplicity compromise.

SAN-level performance via Ethernet

VAST systems feature universal data access to NFS, SMB and S3 clients, consolidating datasets into one namespace. RDMA and multi-path access achieve parallel file system performance with trusted NAS protocols.

A Unified, Multi-Protocol Platform

Process data to any application: data can be delivered across NFS, SMB and S3. The VAST Element Store is a universal permissions management model that arbitrates access across supported protocols.

Real-Time Data Access at Any Scale

VAST’s DASE architecture scales performance linearly as your data volumes grow. Access is optimized for the ways in which research and data science pipelines need to achieve optimal processor efficiency.

Superior Data Reduction

VAST’s all-new similarity-based data reduction combines the global approach of deduplication with the byte-granular approach to pattern matching only before found in compression, providing the industry’s highest level of data reduction.

Reference Architecture

Breaking trade-offs with Universal Storage

images