VAST Data Launches AI Event Engine – 10x Faster

ByAdmin

PublishedFebruary 25, 2025

VAST Data, the AI data platform company, has recently unveiled the VAST Event Broker—a groundbreaking new capability that enables AI agents to act instantly on incoming data for real-time intelligence and automation. As organisations push the boundaries of AI, the VAST Event Broker exposes a Kafka-compatible API and unifies event streaming, seamless analytics, and AI within a high-performance data platform—removing the limitations of legacy event streaming architectures and unlocking immediate AI-driven insights.

Legacy event streaming has long been restricted 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 obstruct seamless analytics. This fragmentation results in costly infrastructure sprawl, inefficient data replication, and slow batch ETL processes, delaying real-time insights.

The VAST Data Platform, which seamlessly integrates storage, databases, and virtualised compute engine services into a unified AI operating system, has consolidated transactional, analytical, AI, and real-time streaming workloads by incorporating the VAST Event Broker into the VAST DataEngine. Enabled by VAST’s pioneering DASE architecture, this new capability facilitates real-time analytics, AI/ML pipelines, and event-driven workflows with simplified management, enhanced observability tools, expanded SQL query capabilities, and superior resilience.

**Photo: Jeff Denworth, Co-Founder of VAST Data**

“The launch of the VAST Event Broker marks a fundamental shift in the market for real-time data processing,” stated Jeff Denworth, Co-Founder of VAST Data. “By merging event streaming, analytics, and AI into a single platform, VAST is eliminating decades of data pipeline inefficiencies and event streaming complexity, empowering organisations to detect fraud in milliseconds, correlate intelligence signals globally, act on data-driven insights instantly, and deliver AI-enabled customer experiences. This is the future of real-time intelligence, built for the AI era.”

The VAST Event Broker expands the VAST Data Platform ecosystem, providing organisations with:

● 10x+ Performance & Linear Scalability – Traditional event streaming struggles to scale efficiently, often requiring excessive infrastructure to manage increased workloads. The VAST Event Broker delivers a 10x+ performance advantage over Kafka on comparable hardware, with unlimited linear scaling, capable of processing over 500 million messages per second across VAST’s largest cluster deployments.

● Unlimited Scale and Support for All Data – The VAST DataStore offers an exabyte-scale storage foundation that eliminates traditional performance and capacity trade-offs, enabling files, objects, blocks, and tables to coexist on a single, cost-efficient flash storage tier. With the VAST Event Broker, as structured or unstructured data streams into the system, this new data can be acted upon immediately.

● One Platform for Every Workload – The VAST DataBase integrates transactional and analytical processing, removing the need for separate transactional and analytics systems. The VAST Event Broker enhances the VAST DataBase by dynamically triggering computation as soon as data arrives, transforming raw information into real-time intelligence and action. This seamless integration of event-driven processing ensures that every data point is instantly analysed, indexed, and made actionable—allowing AI agents and applications to respond immediately, automate decision-making, and drive continuous innovation.

● Automated Data Processing for All Workloads – The VAST DataEngine automates complex workflows by executing serverless functions directly within the platform, enabling real-time insights and event-driven AI processing.

● Optimised for AI/ML – With GPU-Direct capabilities, VAST accelerates AI/ML workloads by enabling high-speed, direct data transfers between GPUs and storage, ensuring seamless access to large-scale, diverse datasets.