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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Single Multi-Model Query Layer
- SurrealDB stores data as documents while exposing a flexible SQL-like SurrealQL for relational, graph, time-series and vector queries.
- This lets developers query multiple modalities in one request without juggling separate databases.
Indexes And Materialized Views Over Documents
- Developers define traditional, full-text, unique and vector indexes and also materialized-like aggregate views for real-time aggregation.
- Under the hood everything remains document-based with ACID transactions and multi-master scaling.
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.
