The Compute Fabric for Real-Time, Active Data
Activate your data and AI pipelines with event-driven compute and bring intelligence directly to the data.
Trusted by the World’s Leading Data-Driven Organizations
The Limits of Today's Data and AI Workflows
DataEngine eliminates the pain of traditional data and AI pipeline orchestration.
See How VAST Brings Confidential AI to Sensitive Data
See how VAST DataEnclave enables foundation AI models to run on sensitive enterprise data while protecting both enterprise data and model IP.
“The key factors in choosing VAST were scalability and composability. So we can tune performance or we can choose volume as required. Leveraging the roadmap from DataBase to DataEngine, we're able to move data to where it's needed.”
Activate Data Instantly with Customizable Compute
The VAST DataEngine brings logic and state together—activating files, objects, and tables the moment they change. Built into VAST AI OS, it transforms data into action for continuous, intelligent workflows.
Event-Driven Intelligence
With real-time triggers, data changes become instant actions. File and object updates trigger workflows automatically, powering continuous automation and streaming analytics and AI across your data landscape.
VAST’s Unified Query Engine
Eliminate external engines and complex pipelines. The VAST Native Query Engine runs analytics directly on data, reducing system sprawl and operational overhead while improving performance and reliability at scale.
Confidential AI with DataEnclave
Run foundation AI on sensitive data without exposing either. VAST DataEnclave uses hardware-isolated execution and cryptographic attestation to protect enterprise data and model IP while AI is actively processing them.
Automate, Orchestrate, Accelerate Data Workflows
Serverless triggers and functions
With VAST Event Broker triggers and serverless Python functions running on Kubernetes in VAST, using VAST Native Compute, DataEngine lets you build and automate virtually any workflow. From event detection to enrichment and orchestration, it replaces brittle ETL and schedulers with real-time simplicity.
Flexible Compute Environment for Every Data Workflow
With serverless Python functions running on VAST Native Compute and containerized engines, DataEngine provides a programmable, elastic compute fabric. From streaming to batch, SQL to vector, you can design, run, and scale workflows without external orchestration.
VAST Engines Accelerate Workflows from Ingest to Agents
Built on DataEngine, the VAST Engines provide specialized toolkits for automation. InsightEngine enables end-to-end RAG pipelines, AgentEngine orchestrates agentic AI, and SyncEngine simplifies ingest and synchronization—accelerating intelligence across the enterprise.
Specialized Engines for Full-Stack AI: Unify, Contextualize, and Act
The VAST DataEngine is a unified data processing platform powering three specialized engines: AgentEngine for AI agents, SyncEngine for data sync, and InsightEngine for RAG automation—all running natively together.
Inside the VAST DataEngine
VAST DataEngine is the programmable compute fabric for real-time operations. With serverless triggers, functions, and in-place processing, it automates pipelines and delivers continuous insights at scale.
Serverless Functions
Run lightweight Python functions directly on VAST Native Compute directly in VAST CNodes. Automatically triggered by events, they build enrichment, transformation, and routing workflows, eliminating ETL and external schedulers while enabling complex data and AI pipelines in real time.
Managed Trino & Spark
VAST runs Trino and Spark natively as managed services on compute nodes (CNodes) within the platform. With direct NVMe access to all data, they deliver faster, simpler performance—no external clusters, data movement, or duplication required.
All Workflows, One Platform
Automate workflows across streaming, batch, SQL, and vector pipelines. DataEngine integrates them natively, so workflows stay synchronized and consistent without external orchestration.
Unified Control Plane
Manage pipelines, triggers, and functions from a single system. Monitor job execution, track metrics, and enforce policies across every workflow with built-in observability.
Low Code or Code-First Design
Build AI pipelines fast with our low-code, drag-and-drop interface. Developers can use custom Python for full control. VAST supports both code-first and low-code workflows, offering total flexibility and complete pipeline tracking and visibility in the DataEngine interface.
Disaggregated Shared Everything
VAST’s DASE architecture decouples compute from storage while maintaining high-speed NVMe-oF access to all data. This ensures elastic scaling, massive parallelism, and predictable high performance.
Exabyte Scale
DataEngine scales seamlessly as data grows. Built on the VAST DASE Architecture, its linearly scaling, shared-everything design eliminates rebalancing and delivers consistent low-latency performance at exabyte scale.
Near-Zero Latency
Built on VAST’s DASE architecture, DataEngine gives every compute node (CNode) direct NVMe-oF access to the all data nodes (DNodes) in the global dataset. The result is near-zero latency and the responsiveness modern data pipelines require.
Fault Tolerance
Running on the resilient DASE architecture, VAST delivers zero data loss and continuous availability. Pipelines are uninterrupted and workloads remain fully trusted.
From Concept to Deployment: Solving Real-world Challenges
Beyond Storage: The DataEngine Story
See how VAST DataEngine transforms static data into a “thinking machine” that learns and responds in real time, eliminating traditional pipelines by treating code as data and enabling continuous AI processing at exabyte scale.
Shaping the Future of Work With Agentic AI
Discover how VAST’s AI Operating System, and specifically DataEngine, turn days of sales planning into minutes by powering intelligent, specialized AI agents that extract, analyze, and generate step-by-step strategies from your business data.
Unlocking Over a Century Of NHL Footage with AI
NHL unlocks 500,000+ hours of history with VAST InsightEngine for real-time fan experiences.
Explore the AI Operating System
Get the Facts About VAST DataEngine
What is VAST DataEngine and how does it power real-time data workflows?
What is VAST DataEngine and how does it power real-time data workflows?
VAST DataEngine is a serverless, event-driven compute framework built into the VAST AI Operating System that brings processing to the data itself. Instead of relying on scheduled jobs or external orchestration, DataEngine uses functions and triggers to automate any data workflow—from transformation and enrichment to analytics and AI inference—the moment data changes. This enables continuous, real-time operations across all workloads without data movement or delay.
How does VAST DataEngine eliminate traditional data pipeline complexity?
How does VAST DataEngine eliminate traditional data pipeline complexity?
VAST DataEngine removes the need for fragile, multi-step data pipelines by unifying storage, streaming, and compute in one system. Built on the VAST AI OS, it lets teams build and manage pipelines using event triggers and serverless Python functions that execute directly where the data lives—no ETL, movement, or external orchestration required. This simplifies data transformation and automation across all workloads, from analytics to AI.
What makes VAST DataEngine different from conventional serverless computing platforms?
What makes VAST DataEngine different from conventional serverless computing platforms?
DataEngine is built on VAST's DASE architecture, allowing serverless functions to execute across a global collection of resources while accessing all data through a high-performance, low-latency network.
Unlike traditional serverless platforms limited to single clouds or data centers, DataEngine can deploy workers at the edge, in core data centers, and across multiple clouds as part of one unified global computer, with functions auto-scaling based on workload policies.
How does VAST DataEngine support AI and machine learning workflows?
How does VAST DataEngine support AI and machine learning workflows?
VAST DataEngine brings compute to the data and makes AI pipelines event-driven. One of its primary engines, InsightEngine, sits on DataEngine and lets you build and manage real-time RAG pipelines using event triggers and serverless Python functions that run in place—no data movement or external orchestrators. As data lands, pipelines can chunk, embed, and store vectors in VAST DataBase’s native vector store, retrieve context on demand, invoke inference, and log results—all under unified governance and full observability.
Can VAST DataEngine handle enterprise-scale data processing requirements?
Can VAST DataEngine handle enterprise-scale data processing requirements?
DataEngine is designed to scale from petabytes to exabytes of data while maintaining real-time performance. Built on VAST's DASE flash-native architecture, it can process two million events per second through its integrated Event Broker while simultaneously supporting complex queries across the entire data archive.
The system provides six nines of availability even at data center scale, with built-in resilience that allows large collections of infrastructure to fail without affecting operations.
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