Modern applications require real-time decisions and AI automation, but today’s streaming architectures separate events, analytics, and pipelines into disconnected systems.
VAST AI Operating System for Event-Driven Analytics
Build Event-Driven Analytics and AI on One Unified Platform
Transform event streams into immediately queryable data and real-time AI workflows. VAST unifies event streaming, analytics, storage, and pipeline execution to power continuous intelligence at enterprise scale.
The Real-Time Data Challenge
Event Streams Move Fast. Architectures Move Slowly.
Events Aren’t Queryable
Kafka moves events efficiently, but analytics requires additional stream processors, ETL pipelines, and analytical stores before event data becomes queryable and useful for downstream applications.
Real-Time Systems Become Complex
Brokers, stream processors, analytical databases, orchestration frameworks, and AI services create fragmented architectures with multiple copies of data and growing operational overhead.
Pipeline Automation Requires Integration
Building event-driven AI and data pipelines often requires custom integrations between streaming systems, orchestration tools, and inference services, slowing delivery and increasing operational risk.
Our BI tools would only be able to see the data as it was 12 hours ago. We want our data to be as current as possible. If you can get low latency on your data, you can make it operational, not just analytical.
Aaron Pritchard
Technical Team Lead, Evodian
Why Now
The Shift from Event Streaming to Event-Driven Intelligence
Kafka transformed enterprise computing by making it possible to move real-time data reliably between systems. For years, transporting events was enough. Analytics happened later, AI happened elsewhere, and the delay between ingest and action was acceptable.
That assumption no longer holds. Modern applications depend on continuously refreshed context and automated responses to new information. Fraud detection systems must evaluate transactions immediately. AI pipelines must update embeddings and context stores continuously. Operational systems increasingly rely on events to trigger decisions, workflows, and inference in real time.
VAST’s DataEngine and Event Broker change the role of event streaming entirely. Events become immediately queryable data while simultaneously acting as triggers for analytics and AI pipelines. Streaming, analytics, storage, and automation converge into a single platform, creating a foundation for continuous intelligence rather than delayed analysis.
The VAST AI Operating System
One Platform for Event Streaming, Analytics, and AI
VAST combines Event Broker, DataBase, and DataEngine into a unified foundation for event-driven analytics and AI. Event streams become immediately queryable data while simultaneously triggering real-time enrichment, analytics, and AI pipelines. Built on the DASE architecture, the VAST AI Operating System delivers continuous intelligence with dramatically lower complexity and cost.
Query Events in Real Time
Transform event streams into immediately queryable data. VAST Event Broker and DataBase turn Kafka topics into live, SQL-accessible tables for analytics and AI without ETL pipelines.
Simplify and Streamline Costs
Collapse brokers, stream processors, analytical stores, and orchestration frameworks into a single flash-native platform, reducing operational complexity and infrastructure costs.
Automate AI and Data Pipelines
Use events to trigger enrichment, transformation, vectorization, inference, and downstream workflows automatically, enabling continuous analytics and AI automation.
Scale for Today’s AI
Scale event-driven applications with independent compute and storage scaling, eliminating broker replication overhead and partition rebalancing constraints.
The Three Pillars of Event-Driven Intelligence
Move Beyond Streaming Infrastructure
Turn Events into Queryable Data
Traditional event streaming platforms move data efficiently but rely on downstream systems before analytics can begin. VAST Event Broker transforms Kafka topics into native VAST DataBase tables, automatically expanding events into structured, SQL-queryable columns. The result is immediate access to live event data for analytics and AI without ETL pipelines or synchronization delays.
Simplify Streaming Architecture
Real-time applications often require brokers, warehouses, orchestration engines, and operational databases simply to move data from ingestion to action. VAST consolidates streaming, analytics, storage, and compute into one platform powered by DASE architecture. The result is fewer systems to deploy, fewer copies of data to manage, and dramatically lower infrastructure costs at scale.
Automate Analytics and AI Pipelines
AI systems increasingly rely on events to trigger enrichment, transformation, vectorization, inference, and downstream workflows. VAST Event Broker and DataEngine enable event-driven pipelines that react to data as it arrives. Serverless Python functions execute within the platform, allowing organizations to automate analytics and AI workflows without external orchestration infrastructure.
What does VAST DataEngine help enterprises do?
Transform Events into Automated Intelligence
VAST DataEngine is the programmable execution layer for event-driven analytics and AI. Event Broker triggers, serverless Python functions, and native compute allow organizations to build data and AI workflows directly on the platform. By executing pipelines where data lives, DataEngine eliminates unnecessary movement while enabling real-time enrichment, transformation, inference, and automation.
Build Event-Driven Pipelines
Create workflows that respond instantly to new events and data, enabling real-time enrichment, transformation, and analytics.
Execute Serverless Functions
Run custom Python functions on VAST Native Compute to enrich, transform, classify, and prepare incoming data directly where it lands.
Automate AI Pipelines
Trigger vectorization, inference, RAG updates, and downstream AI workflows automatically as events arrive, enabling continuously refreshed context and intelligent automation.
Run Compute Where Data Lives
Execute analytics, transformations, and AI pipelines directly where data resides, eliminating costly movement between storage, compute, and AI infrastructure.
What does VAST Event Broker help enterprises do?
Modernize Streaming Without Changing Applications
VAST Event Broker provides Kafka API-compatible event streaming while eliminating the infrastructure complexity of traditional broker architectures. Existing producers, consumers, and tooling continue to operate unchanged while events become immediately available for analytics and automation.
Topics to Tables
Transform Kafka topics into live VAST DataBase tables, automatically expanding JSON events into structured, SQL-queryable data for analytics and AI.
Trigger Real-Time Pipelines
Use events to initiate enrichment, transformation, vectorization, inference, and downstream workflows the moment data arrives.
Eliminate Infrastructure Sprawl
Consolidate brokers, analytical stores, ETL pipelines, and orchestration systems onto a single platform for lower cost and simpler operations.
Scale Without Broker Overhead
Replace replication, partition rebalancing, and east-west coordination traffic with VAST’s shared-everything DASE architecture.
Event-Driven Intelligence in Action
Real-Time Analytics Across Every Industry
Organizations across industries are using event-driven architectures to automate decisions, accelerate analytics, and operationalize AI in real time.
