VAST Data builds the VAST AI Operating System, a unified software platform that brings together storage, database, compute, and agent runtime services for AI and data-intensive environments. Built on its DASE architecture, VAST Data is designed to remove traditional tradeoffs between performance, scale, resilience, and operational simplicity across enterprise, edge, and cloud deployments.
VAST Data focuses on giving organizations a single operating layer for training, inference, analytics, and real-time data operations. Its platform spans file, object, block, table, vector, and streaming data so customers can manage and activate data in one governed environment instead of stitching together separate storage, database, and orchestration stacks.
Offerings, Capabilities, and Integrations
VAST Data centers its offering on consolidating foundational data services and execution into one operating environment. Its capabilities include multiprotocol data access, globally distributed namespace management, structured and unstructured data handling, real-time event processing, serverless pipeline execution, and AI workflow automation with integrated governance, observability, and security controls.
VAST Data supports hybrid and multicloud deployment models across on-premises and cloud environments. Its broader ecosystem includes cloud relationships with AWS, Microsoft Azure, and Google Cloud, along with technology integrations spanning NVIDIA, Apache Spark, Starburst, Dremio, Vertica, Splunk, Commvault, Rubrik, and Veeam for AI, analytics, and data protection use cases.
Products and Services
- VAST AI Operating System: Unified platform that combines storage, database, compute, and agent execution services for AI and data-intensive applications.
- VAST DataStore: All-flash storage infrastructure for files, objects, volumes, and block-based workloads, with support for protocols such as NFS, SMB, S3, and Kubernetes CSI.
- VAST DataBase: AI-native database for structured data, vectors, streams, catalogs, logs, and contextual metadata, built to support transactional, analytical, and AI workloads at scale.
- VAST DataSpace: Global data fabric and distributed namespace that unifies data across on-premises, cloud, and edge locations with strict consistency and large-scale federation.
- VAST DataEngine: Serverless execution and orchestration layer for event-driven functions, pipelines, and real-time data processing close to where data resides.
- VAST SyncEngine: Data discovery, migration, and synchronization service that indexes and mobilizes data from external storage, file systems, SaaS sources, and S3 environments into VAST DataSpace.
- VAST InsightEngine: Real-time AI pipeline service for ingest, embedding, retrieval, and RAG-style workflows with automated processing from data intake through inference.
- VAST AgentEngine: Enterprise runtime for building, deploying, orchestrating, and observing AI agents with scheduling, fault tolerance, and lifecycle controls.
- VAST Event Broker: Kafka-compatible event streaming capability for real-time data processing, analytics, and agentic workflows within the VAST platform.
- VAST on Cloud: Cloud deployment option that enables ephemeral or persistent virtual VAST clusters for high-performance data services in public cloud environments.
- VAST Foundation Stacks: Open source library of production-ready pipeline implementations that extend NVIDIA AI Blueprints to run natively on the VAST AI Operating System.
Target Customers
VAST Data serves enterprises and service providers running large-scale AI, analytics, and performance-sensitive data environments. Its platform is aimed at organizations that need unified infrastructure for model training, inference, retrieval-augmented generation, real-time analytics, high-performance computing, and modern data lake or backup and recovery architectures.
VAST Data is especially relevant to cloud service providers and other data-driven organizations in industries such as life sciences, public sector, media and broadcast, animation and VFX, quantitative trading, healthcare, and research. The company is also a fit for teams standardizing data infrastructure across hybrid and multicloud environments while supporting both structured and unstructured data workloads.
Cloud Integrations and Marketplace
- AWS Marketplace: VAST Data has a verified AWS Marketplace presence for the VAST Data Platform and supports cloud deployments for hybrid, burst-to-cloud, and native AWS use cases.
- Azure Marketplace: VAST Data has a verified Azure Marketplace presence through VastData Cloud Deployer and supports Azure-based deployment of VAST software for AI and data platform workloads.
- Google Cloud: VAST Data integrates with Google Cloud to extend VAST DataSpace and related platform capabilities for native and hybrid cloud AI and data pipelines.
Key People
- Renen Hallak: Founder & CEO
- Shachar Fienblit: Co-Founder & Chief R&D Officer
- Jeff Denworth: Co-Founder
- Amy Shapero: Chief Financial Officer
- Rick Scurfield: Chief Revenue Officer
- Marianne Budnik: Chief Marketing Officer
- Jonsi Stefansson: General Manager of Cloud Solutions
- John Mao: Vice President, Global Technology Alliances
- Stacey Cast: Vice President of Global Operations
- Eiki Hrafnsson: Vice President of Cloud Engineering
Key Facts
- Headquarters: New York City, New York, United States
- Employees: Approximately 1,100
- Annual Revenue: $500M+ in committed annual recurring revenue
- Parent Company: None
- Subsidiaries: VAST Data Federal
- Publicly Listed: Privately held
Analyst Recognitions
- Gartner: 2024 Gartner Magic Quadrant for File and Object Storage Platforms — Leader. 2024 Gartner Peer Insights Voice of the Customer for Distributed File Systems and Object Storage in North America — Customers’ Choice.
