Modern application development frequently requires managing various databases to accommodate different data models, which can result in intricate architectures, security issues, and disjointed development processes.
SurrealDB is a Rust-based, open-source, multi-model database that incorporates features from relational, document, graph, time series, search, and vector databases. It accommodates both schema-less and schema-full data models and offers a SQL-like query language.
The project has gained considerable traction, with version 3.0 recently launched, focusing on facilitating AI-driven analysis of unstructured data within the database and providing tools for crafting event-driven applications.
Tobie Morgan Hitchcock, CEO and co-founder of SurrealDB, appears on a podcast with Kevin Ball to discuss SurrealDB’s approach to multi-model data management, unstructured data processing, building event-driven AI solutions, integration of databases with AI models, and other related topics.
Full Disclosure: This episode is sponsored by SurrealDB.
Kevin Ball, or KBall, is the vice president of engineering at Mento and offers coaching for engineers and engineering leaders. He has co-founded two companies, served as CTO, initiated the San Diego JavaScript meetup, and coordinates the AI inaction discussion group through Latent Space.
Please click here to see the transcript of this episode.