Software Engineering Daily SurrealDB 3.0 and Building Event-Driven AI Applications with Tobie Morgan Hitchcock
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Sep 16, 2025 Tobie Morgan Hitchcock, CEO and co-founder of SurrealDB, shares insights into the innovative 3.0 release of SurrealDB, a multi-model database that unifies various data types for modern applications. He discusses the challenges of managing unstructured data and the exciting integration of AI capabilities. From enhancing event-driven applications to simplifying complex data management, Tobie highlights how SurrealDB supports seamless querying and real-time analytics. The conversation also touches on the importance of robust data security and efficient programming models in today's tech landscape.
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No Joins; Use Links And Edges
- SurrealQL resembles SQL but removes joins and uses record links and bidirectional graph relationships for traversals.
- This design enables expressive queries and easier horizontal scalability compared with join-heavy relational models.
Bring Functions To Data
- Surrealism embeds modular functions next to data so event-driven tasks (sentiment, summarization, LLM calls) run where the data lives.
- This inverts the usual pattern of pushing data to external compute and reduces pipeline complexity and duplication.
Scale Storage And Compute Independently
- Separate storage and compute to scale them independently depending on write load and analytic needs.
- Route heavy ML or long-running queries to beefier compute nodes while keeping real-time nodes lightweight.
