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 schemaless 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.

Toby Morgan Hitchcock is the CEO and co-founder of SurrealDB. He joins the podcast with Kevin Ball to talk about SurrealDB, handling multimodal data,

unstructured data processing, building event-driven AI applications,

coupling databases with AI models, and more.

Kevin Ball, or K Ball, 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.

Check out the show notes to follow KBall on Twitter or LinkedIn or visit his website,

kball.l. LLC.

Toby, welcome to the show.

Thank you. Great to be here. Thanks for having me.

Yeah, I'm excited to get to learn about what you're doing.

So let's maybe start with you. Do you want to give yourself a brief introduction and then talk a little about Surreal and what brought us here?

Yeah, so I'm Toby, CEO and co-founder of SurrealDB.

SurrealDB is a new multi-model database that is designed to

simplify the infrastructure and the development process for developers and organizations

where they might typically have been using multiple different databases to achieve what you can do with

just a single database in SurreelDB. It's designed for AI native applications. So we're being used a lot

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