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.
We will also demonstrate 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
Choose your preferred time slot and join us for this exclusive webinar. We’re excited to have you participate!
Choose your preferred time slot and join us for this exclusive webinar. We’re excited to have you participate!