Why companies are adopting SurrealDB

SurrealDB is a rapidly growing multi-model database built in Rust, designed to consolidate diverse data requirements into a single platform, thereby reducing complexity and enhancing development speed for companies building data-intensive and AI applications. It eliminates the need for multiple databases by natively supporting relational, document, graph, caching layers, full-text search, and vector search models, all accessible through a unified query language called SurrealQL. This approach simplifies architecture, reduces operational overhead, and accelerates time to market by allowing teams to focus more on building product value rather than managing infrastructure. SurrealDB’s flexibility allows it to run in various environments, from cloud to edge, and supports AI-native workloads, making it suitable for modern applications like knowledge graphs and real-time analytics. While SurrealDB offers a robust solution for many use cases, highly specialized applications may still require dedicated tools. The database is supported by a vibrant open-source community and comprehensive educational resources to facilitate adoption and learning.