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.