The Accelerated Data Lake for All Your Applications
Simplify your analytics pipelines with a fully coherent view of structured and unstructured data on a unified data platform that accelerates real-time insights.
The VAST Data Platform powers advanced analytics with File, Object, and DataBase services with unparalleled performance, scale, and affordability.
Get the transactional consistency of a relational database, and the query performance of an exabyte-scalable data warehouse at the cost of a data lake.
The VAST Data Platform unifies structured and unstructured data on a next-generation distributed architecture that accelerates and simplifies analytical workflows across edge, core, and cloud.
Accelerate Complex Queries
The VAST DataBase plugins accelerates queries by up to 100X*
Plugins available for Spark, Trino, Dremio, and additional query engines plus native SQL and analytics applications.
Point of comparison: VAST DataBase + Spark vs. Spark + S3
Please visit our Vast Data Platform page to view VAST Data’s introduction to the VAST Data Platform as well as videos that explain in detail the VAST DataStore, DataBase, DataEngine and DataSpace.
PDF - VAST Universal Storage for Data Analytics
ALL- FLASH DATA LAKES AT ARCHIVE ECONOMICS
Enterprises continue to embrace real-time computing tools such as Apache Spark, Vertica, Trino, and Elasticsearch, shifting away from batch-oriented tools of the Hadoop era.
Storage must be now architected for delivering real-time performance for any query load and inevitable data growth. But most file and object storage systems (new and legacy) fail to scale performance affordably for your current applications, and are not architected to scale beyond a few petabytes.
High Performance at Any Query Load
VAST Data’s massively-parallel architecture delivers concurrency and real-time responsiveness at scale.
Eliminate Data Silos
Access the same data via S3 & NFS and eliminate specialized storage or multiple copies of data.
Limitless Scale
Scale capacity to 100s of petabytes and beyond without requiring complex capacity upgrades.
PDF - Comparing Storage Platforms for Big Data Applications
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.
HDFS vs. VAST — Why Architecture Matters
Are your HDFS costs skyrocketing? In this video VAST’s CMO and Co-Founder, Jeff Denworth, compares HDFS and VAST Data where it counts — performance, scalability, & cost. Learn how VAST Data’s massively-parallel disaggregated architecture unlocks a unified data platform for all your big data applications at a fraction of the cost.
PDF - Dremio + VAST Bring Speed and Simplicity to Your Hadoop Workloads
Lightning-Fast Queries Powered by All-Flash Data Lakes.
Today’s data lakehouse requires a combination of real-time storage access, capacity, scale and affordability that has never been available before.
Dremio and VAST have partnered to deliver a combined solution with the speed of a cache layer all the way across your data lake and enables subsecond query performance at any scale.
Consolidate. Run a variety of analytics workloads on the same namespace and eliminate islands of infrastructure.
Quality of Service. Resize container pools & eliminate noisy neighbors to tackle workloads of any concurrency.
PDF - Vertica + VAST – Unified Analytics Powered by Flash-Optimized Data Lakes
Consolidate structured and unstructured data silos with a single data lakehouse.
VAST Data provides Vertica’s analytical database with the performance, scale, data protection and resiliency needed for today’s modern and converged data lake and data warehouse applications.
Lightning-fast queries across all of your data
Our combined solution for Vertica Eon Mode delivers the speed of a cache layer all the way across your data lake, and enables sub-second query performance at any scale.
With VAST, real-time queries can be executed in parallel across one exabyte scale and affordable all-flash platform.
PDF - VAST Cold Flash Architecture for Splunk
Never move data between buckets. Get up to 30X better performance.
The VAST Data COLD.FLASH architecture takes the guess work out of Splunk storage sizing by significantly reducing the SSD capacity (up to 70%) within each Index server (1 day of Hot/Warm) and utilizes scalable all-flash cold buckets to accelerate search performance, regardless of the data volume.
The VAST All-Flash shared storage cluster combines QLC Flash, lowoverhead next generation erasure codes and global data reduction (Splunk=3.6:1) to enable a lower total cost of Splunk storage acquisition without the limits of slow buckets.
PDF - Elasticsearch on VAST
Elastic deployments will bottleneck as data scales, forcing organizations to separate data into hot and cold tiers in order to manage costs.
VAST’s Data’s All-Flash platform provides a tierless, performant and easy-tomanage Elastic infrastructure at multi-petabyte scale.
Advanced compression and deduplication reduces storage footprint regardless of replica count, and delivers unbeatable price/performance on flash.
PDF - Trino with VAST
Accelerate time to insights with a flash optimized VAST data lake to power Trino’s distributed SQL query engine at scale. VAST presents a peerless high-performance S3 interface alongside NFS and SMB. No matter how data is written Trino can read and operate on it without storage bottlenecks.
This is important because data lakes work best when there are no limits to how data is written or read. Applications can work on the same data - read and write - over different protocols without creating copies or being forced to silo data. And Trino can work on your data no matter how it was written or where it is.
PDF -VAST + SQream Solution Brief
SQream DB harnesses the power of VAST Universal Storage and NVIDIA GPUs to perform fast, flexible, and cost-efficient analysis of massive datasets.
This powerful trio brings game-changing acceleration, with SQL query performance improvements up to 150% compared to GPU-equipped off-theshelf x86 servers, all while reducing cost and system complexity.
The combination of SQream + VAST seamlessly scales performance as data size increases to handle any big data challenge with linear scalability.
“In extensive lab validation, VAST achieved impressive Read and Write speeds with no signs of performance impact as the data set grew to massive scale.” — SQream
