Webinar

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

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

Key Takeaways

  • 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 

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.

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