Beyond Kafka: Real-Time Event Architectures for AI with the VAST Event Broker

Streaming architectures built on Kafka introduce operational complexity, data duplication, and disconnected pipelines that limit real-time analytics and AI. As organizations scale event-driven systems, they face challenges with latency, consistency, and managing multiple infrastructure layers.

In this webinar, we introduce the VAST Event Broker, a Kafka-API compatible streaming engine integrated directly into the VAST AI OS. We will show how streaming data is ingested and immediately materialized as tables for real-time analytics and AI pipelines, and review performance benchmarks at scale.

Here’s what you'll learn from the session:

• Why Kafka-based architectures introduce complexity and duplication

• How VAST streams data directly into analytics tables

• Benchmark performance for real-time streaming at scale

• Common use cases, including  AI pipeline automation, IOT, and fraud detection at massive message scale 

We will also demonstrate how VAST consolidates streaming, storage, and analytics into a single system, eliminating Kafka clusters, downstream pipelines, and data duplication.

Looking for more? This session is part of From Data to AI: VAST Analytics Explained, a free 8-part technical series on building modern analytics and AI systems on VAST AI OS. Register for more sessions here.