VAST Data, the AI data platform company, has announced the VAST Event Broker, a new capability that allows AI agents to instantly act on incoming data for real-time intelligence and automation. As organizations push the boundaries of AI, the VAST Event Broker exposes a Kafka-compatible API and brings event streaming, seamless analytics, and AI together in a unified, high-performance data platform – removing the constraints of legacy event streaming architectures, and unlocking immediate AI-driven insights.

Legacy event streaming has been constrained by rigid architectures, operational complexity, and data silos that separate transactional and analytical workloads. Traditional Kafka implementations, while widely used for data movement, create isolated event data silos that hinder seamless analytics. This fragmentation leads to costly infrastructure sprawl, inefficient data replication, and slow batch ETL processes that delay real-time insights.

The VAST Data Platform, which seamlessly combines storage, databases, and virtualized compute engine services into a unified AI operating system, has consolidated transactional, analytical, AI, and real-time streaming workloads by adding the VAST Event Broker to the VAST DataEngine. Made possible by VAST’s DASE architecture, this new capability enables real-time analytics, AI/ML pipelines, and event-driven workflows with simplified management, improved observability tools, expanded SQL query capabilities, and superior resilience.