Modern application development frequently requires handling various database types to accommodate different data models. This lack of unification often results in complicated architectures, creating security concerns and fragmented development processes.
SurrealDB, developed in Rust, is an open-source, multi-model database that incorporates features from multiple databases including relational, document, graph, time series, search, and vector databases. It offers both schema-less and schema-full data models and utilizes a SQL-like query language.
The project has swiftly gained popularity, with version 3.0 recently released. This version emphasizes AI-powered analysis of unstructured data within the database, alongside tools for crafting event-driven applications.
Tobie Morgan Hitchcock, CEO and co-founder of SurrealDB, joins a podcast with Kevin Ball to discuss SurrealDB, multi-model data management, unstructured data processing, event-driven AI applications, integrating databases with AI models, and more.
Full Disclosure: This episode is sponsored by SurrealDB.
Kevin Ball, or KBall, is the Vice President of Engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.
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