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VAST’s disaggregated, shared-everything architecture (DASE) is a purpose-built storage cluster architecture designed to scale to petabytes, give tier-1 all-flash performance, and sells for a price point equivalent to what customers pay for archive storage.

IT infrastructure generates massive streams of machine data every day, and thousands of organizations are deploying Splunk Enterprise to analyze their machine data in order to gain valuable operational intelligence. However, the deployment and optimization of Splunk presents complex storage sizing challenges

When it’s possible to store all of your data in a single tier of storage that’s fast enough for all of your demanding applications, large enough to manage all of your data, and affordable enough such that the economic arguments for HDDs no longer apply, everything is simple. When exabytes of data are available in real time, new insights become possible.

When it’s possible to consolidate NAS and Object workloads to a single data platform with all-flash performance, cloud scalability, and archive-level economics the barriers to insight disappear. Data at massive scale requires a new approach to managing data. The old ways of locking data to the protocol by which it was ingested and using tools designed for TBs of data can’t keep up. VAST stores data as elements for multiprotocol access with equal performance and granular security policies.

The VAST Data Platform is a breakthrough approach to data-intensive computing that serves as the comprehensive software infrastructure required to capture, catalog, refine, enrich, and preserve data through real-time deep data analysis and deep learning.

All-Flash storage is taking over many production storage responsibilities but because of cost most organizations can’t justify placing all production workloads on all-flash let alone secondary storage and data protection workloads. If the cost variable of all-flash systems can be resolved without sacrificing performance, then most data centers would happily convert to all-flash. VAST Data solves the all-flash economic equation through a combination of hardware technologies and entirely new software algorithms to make the concept of a single all-flash platform a reality.

When it’s possible to consolidate NAS and Object workloads to a single data platform with all-flash performance, cloud scalability, and archive-level economics the barriers to insight disappear. Today VAST is the foundation for innovation across every industry, with over 8 exabytes of data under management and an unprecedented growth trajectory

Digital transformation is leading to rapid roliferation of use cases that rely on performance-intensive workloads. These workloads — which were once exclusive to academia and government institutions — are now going mainstream, thanks to an urgent need for gaining insights from accelerated analysis of diverse data sets.

By applying new thinking to how storage can be designed, scaled and how data can be efficiently managed, VAST Data has built an architecture with the principal focus of breaking the long standing trade-off that has existed between performance and capacity. We have introduced a new system that saves customers up to 90% vs. what they’ve paid for legacy flash technology

From big-data analytics to artificial intelligence, the most exciting applications in many data centers today glean information from large pools of unstructured data and therefore require new scale-out file storage solutions. This report compares the most common approaches to providing large, high-performance file storage with representatives of each.

VAST Data has created a new system architecture that solves the scalability challenges of NFS and combines an embarrassingly parallel system architecture with a revolutionary approach to flash efficiency to make scale-out flash affordable for all HPC applications.

When they first became popular, containers were used mostly for stateless operations such as web servers like Nginix. As container frameworks and orchestration systems, such as Kubernetes, become a bigger part of the modern application agenda, organizations have expanded their use to also power databases and other stateful applications.

Enterprise data protection requirements are vastly different today than even a few short years ago. The onslaught of ransomware has spawned a “digital pandemic” in which any organization can suffer crippling attacks and disastrous outcomes. The nature of the threat has moved IT organizations to re-evaluate data protection as a whole, from data backups and restores to entire system recovery

Traditional, purpose-built backup appliances are HDD-based and struggle toprovide the performance you need at restore time, especially at scale. VAST Data and Commvault together provide an all-flash, modern data protection solution that delivers rapid restore at scale for growing, petabyte-level libraries. Until now, customers have never been able to afford a true, all-flash backup architecture because of the wide cost differences between hard drive and flash storage systems.

The onslaught of ransomware has spawned a “digital pandemic” in which organizations worldwide are susceptible to crippling attacks and disastrous outcomes. The nature of the threat has moved IT organizations to re-evaluate all elements of data protection strategy, including backups, restores, and full system recoveries. With industry analysts predicting ransomware attacks to be when - not if - scenarios for most organizations

The onslaught of ransomware has spawned a “digital pandemic” in which organizations worldwide are susceptible to crippling attacks and disastrous outcomes. The nature of the threat has moved IT organizations to reevaluate all elements of data protection strategy, including backups, restores, and full system recoveries. With industry analysts predicting ransomware attacks to be when—not if—scenarios for most organizations, IT leaders are urgently focused on how fast they can recover at datacenterscale following a cyberattack

VAST Data and Rubrik, together, deliver a high-performance data protection and recovery solution that keeps your critical applications running for your end-users. Today’s always-on computing environments place new demands on your expensive purpose-built backup appliances that are HDD-based and cannot provide the performance you need at restore time.

Mainframe data is mission critical - but locked in a silo. Model9 delivers a suite of software products which unlock mainframe data and move it to object storage, making the data part of your enterprise’s digital transformation journey. VAST Data offers an ideal destination for that data. VAST’s Universal Storage is an all-flash file and object storage platform designed to scale to petabytes and give tier-1 performance at a price point equivalent to what customers pay for archive storage. The joint Model9-VAST Data solutions present enterprises with a unified, organization-wide data management platform – making the data accessible and easily leveraged for use by cloud-native AI/ML and analytics applications.

A new storage architecture concept made possible by a collection of new hardware technologies has enabled VAST to break decades of long-standing storage compromises. When it’s possible to store all of your data in a single tier of storage that’s fast enough for all of your demanding applications, large enough to manage all of your data, and affordable enough such that the economic arguments for HDDs no longer apply, everything is simple.

A massive shift is underway in data analytics. Workloads and applications are moving away from the HDFS and toward more scalable and performant data storage platforms. In this paper, we will briefly touch on why this shift has taken place and compare several storage options for modern data analytics

What’s next for your aging Hadoop infrastructure? Hadoop ecosystems, which were once at the forefront of revolutionizing data analytics, are no longer able to meet the demands of modern enterprises due to poor performance, costs and complexity. High-latency reporting has given way to instant insights. Data governance and lineage are now fundamental requirements rather than afterthoughts.

Today organizations spend far too much time managing data across data lakes, data warehouses and other siloed data sources. Together, VAST Data and Vertica deliver a unified data analytics platform that helps enterprises consolidate their structured, semi-structured, and unstructured data silos on a flash-powered data lake.

We live in a data-driven world - where organizations that can quickly gain insight from massive data sets have a clear competitive advantage. The data warehouse is now a critical asset that gains value with each data point. But along with this growth comes challenges of scale that can lock away that value and slow innovation.

Elasticsearch is the foundation for the most demanding streaming-data and log-analytics platforms found in the wild. Its popularity has given rise to a large ecosystem of clients tools, use cases and visualization suites that have made it indispensable in the enterprise. Powerful analytic software requires powerful storage: Elastic deployments will bottleneck as data scales, forcing organizations to separate data into hot and cold tiers in order to manage costs.

Trino is an advanced SQL-anywhere query engine capable of coordinating disparate data sources so that you may operate on them in a single namespace. Trino enables novel ways to generate value from data: Execute SQL queries on sensor data streaming through Kafka; run analytical queries spanning tables over multiple OLAP databases; tightly integrate your data warehouse with JSON files landing in your data lake in real time. Trino is intended to be both flexible and performant, well suited for ad hoc queries, real time use and reporting. With VAST housing your data, Trino becomes even more powerful.

IT infrastructure generates massive streams of machine data every day, and thousands of organizations are deploying Splunk Enterprise to analyze their machine data in order to gain valuable operational intelligence. However, the deployment and optimization of Splunk presents complex storage sizing challenges

In this blog post by Andy Pernsteiner, Field CTO at VAST Data, he discusses one of the many Use Cases for the VAST DataBase – the VAST Catalog, a fully integrated and consistent index of all metadata that enables users to run SQL queries across an exabyte-scale filesystem and object store.

In this blog post by Andy Pernsteiner, Field CTO at VAST Data, he discusses how the VAST DataBase fuses the dynamic nature of stream processing with the analytical depth of data-driven decision making to simplify the design, deployment and maintenance of a combined streaming and analytical platform.

VAST has the performance and scale to power next-generation workloads such as Large Language Models, Image Recognition, and other cutting-edge AI models, but with none of the complex operations, tuning, and fragility of parallel file systems. VAST’s inherently parallel architecture and archive economics make it possible to consolidate workloads to a secure, reliable platform that makes all data instantly available for AI.

Recent advances in machine and deep learning are moving GPU driven artificial intelligence applications from R&D labs and Silicon Valley startups into the computing mainstream. AI is presenting a new set of storage challenges that IT organizations have never had to deal with.

In this analyst report IT Market Strategy reviews the VAST Data Platform which is comprised of: the VAST DataStore, VAST DataBase, VAST DataSpace and VAST DataEngine.

VAST Data has introduced the VAST Data Platform, a unique offering that stores and manages both structured (tables) and unstructured (files and objects) data in a single all-flash system optimized for transactional, analytical, and real-time data workloads in the deep learning era.

Can a single data platform truly deliver unparalleled compute, data, and storage services for data-driven applications? This is the aim of the VAST Data platform, a revolutionary system concept that makes AI computing radically easier, more scalable and more efficient than ever before.

Hardware and software technologies come and go, but workloads don’t change much aside from getting faster – that is, until AI deep learning (DL) caught hold. If there’s one new workload that is transforming enterprise IT, it’s DL. DL and the Neural Networks that underpin it came out of research labs and quickly leapt to the forefront of other AI functionality that has been evolving for the last 30 years or more

Life science organizations have long been challenged by ever-growing data and processing demands which strain current storage systems not only to hold back the deluge of data volume but also to provide sufficient performance to keep up as toolkits evolve how pipelines access and interact with data. VAST breaks the decades-old storage performance and capacity tradeoff to enable bioinformatics applications at any scale to benefit from the speed, IO consistency, and simplicity of all-flash parallel file system storage.

The era of artificial intelligence (AI) is well underway, and organizations across every discipline recognize the need to adopt AI or fall behind. However, many organizations struggle with the complexities of building and deploying AI solutions, and need a turnkey solution that can be easily supported by their existing IT teams

WEHI (Walter and Eliza Hall Institute of Medical Research) is Australia’s pre-eminent biomedical research institute. It has been serving the Australian community for more than 100 years, with teams of researchers committed to solving the most complex health problems, making transformative discoveries for cancer, infectious and immune diseases, developmental disorders and healthy aging.

Live streaming events such as horse racing involves a highly orchestrated, lightning-fast balancing act. Anywhere from half-a-dozen to two dozen cameras may be used, each producing a live stream of 4K video images that requires 120 Mbps of bandwidth. Because video capture, manipulation, recording, and playback all involve writing to (and reading from) storage, minimizing read/write access times is fundamental to making the “live” part of real-time streaming feel live to viewers.

Animation and VFX studios use rendering tools to shape today’s most compelling content. I/O performance can directly correlate to the speed of content production by making both server farms and creatives more efficient with their time. Fast forward to today...and rendering workflows are now being exposed to new machine learning and deep learning frameworks to automate much of the creative process by programmatically learning from artistic behaviors

To accelerate collaboration, Lola VFX needed to consolidate all of their data on a high-speed shared data platform accessible to artists globally. After evaluating options, they selected the VAST DataStore for its performance, scale, and multiprotocol capabilities.

G-Research, quantitative finance research firm, builds a bigger crystal ball with the performance and scale of the VAST Data Platform. Posted by Jeff Denworth – VAST Data

G-Research, a quantitative finance research firm, builds a bigger crystal ball with the performance and scale of the VAST Data Platform by marrying massive AI infrastructure with massive datasets to predict and capitalize on market events before they happen.