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Modern AI apps need to react the moment data changes—without turning your backend into a maze of services. In this live SurrealDB webinar, we’ll show how an event-driven database like SurrealDB becomes the central nervous system for your stack, enabling loose coupling, real-time responsiveness, and simpler auditing.
You’ll see how SurrealDB’s native eventing and BaaS features trigger AI workflows—embeddings, summaries, sentiment—right at the data layer.
We’ll walk through an applied demo where changes in your data stream automatically kick off AI jobs. We’ll compare a traditional “many services + queues + schedulers” approach with a SurrealDB-centric, event-driven design—measuring latency, failure handling, and auditability along the way.
Solutions Engineer at SurrealDB
How to model change events and triggers in SurrealDB to power reactive AI workflows
Ways to decouple services and eliminate glue code while keeping systems resilient
How to run embeddings, summarization, and sentiment pipelines at the data layer
Patterns for real-time auditing and observability of end-to-end AI processes
When event-driven beats batch (and when it doesn’t)—with practical latency takeaways