Modern application development often involves juggling multiple types of databases to handle diverse data models. The lack of unification can lead to complex architectures with attendant security concerns and fragmented development workflows.
SurrealDB is an open-source, multi-model database developed in Rust and integrates functionalities of many databases including relational, document, graph, time series, search and vector databases. It supports both schema-less and schema-full data models and has a SQL-like query language.
The project has rapidly grown in popularity, and version 3.0 was just released with a focus on enabling AI-powered analysis of unstructured data directly within the database, along with tooling for building event-driven applications.
Tobie Morgan Hitchcock is the CEO and co-founder of SurrealDB. He joins the podcast with Kevin Ball to talk about SurrealDB, handling multi-model data, unstructured data processing, building event driven AI applications, coupling 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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