Where SurrealDB fits in your stack

SurrealDB is an open-source multi-model database designed to streamline the complexity of managing multiple specialized databases in data-driven applications by unifying various data paradigms into a single platform. This integration allows for seamless blending of relational queries, graph traversals, vector search, and more, eliminating the need for disparate tools and reducing complexity. SurrealDB's architecture, built in Rust, supports deployment in various configurations, from embedded libraries to distributed systems, and separates query processing from storage to enable flexible scaling. It aims to replace traditional databases like MongoDB, Neo4j, and PostgreSQL by consolidating their functionalities, offering an efficient and scalable solution for multi-model capabilities. While it excels in handling diverse data models, SurrealDB is not designed to replace specialized OLAP tools or non-database orchestration systems. The platform promises significant ROI and reduced TCO through phased adoption, as showcased in case studies where companies like Tencent have successfully consolidated multiple databases into SurrealDB, achieving faster development cycles and lower operational costs.