Modern application development frequently requires managing multiple database types to accommodate various data models. This lack of unification often results in intricate architectures, related security issues, and disjointed development workflows.
SurrealDB is an open-source, multi-model database built in Rust, incorporating features of numerous databases such as relational, document, graph, time series, search, and vector databases. It caters to both schema-less and schema-full data models and uses a SQL-like query language.
The project has swiftly gained popularity, with the release of version 3.0 emphasizing AI-powered analysis of unstructured data within the database and offering tools for creating event-driven applications.
Tobie Morgan Hitchcock, CEO and co-founder of SurrealDB, participates in a podcast with Kevin Ball to discuss SurrealDB, managing multi-model data, unstructured data analysis, developing 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 works as 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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