Activate your data and AI pipelines with event-driven compute and bring intelligence directly to the data.
Legacy Challenges
DataEngine eliminates the pain of traditional data and AI pipeline orchestration.
Shifting large volumes between storage and compute adds cost and latency. DataEngine runs compute where the data lives, eliminating costly movement.
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.
With VAST Event Broker triggers and serverless Python functions, 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.
With serverless Python functions 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.
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.
Data Engines
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.
SyncEngine streamlines ingest and synchronization across files, objects, and streams. It accelerates the flow of data into the VAST AI OS, ensuring downstream analytics, pipelines, and agents always have fast, consistent access to the latest data.
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.
Run lightweight Python functions directly on 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.
The VAST Event Broker, a Kafka-compatible engine, detects file and object events in real time. These events trigger downstream workflows instantly, turning raw data changes into automated, intelligent actions across your pipelines.
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.
The VAST DataEngine brings serverless compute to your data. It enables real-time processing and event-driven automation—enriching, transforming, and routing data instantly, without replication. This accelerates your pipelines while guaranteeing data freshness and simplicity.
Read how DataEngine's serverless compute layer makes Trino deployment effortless and instantly scalable.
Discover how VAST DataEngine enables organizations to deploy specialized agents across their entire workforce.
See how DataEngine's event triggers power the world's fastest Kafka-compatible streaming engine for real-time AI.
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.
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.
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.
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.
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.
