SurrealDB is a Rust-built database unifying document, graph, relational, time-series, and geospatial models in a single engine, with native vector search and real-time capabilities. The company's project roadmap reveals dual momentum: core infrastructure (query planner, storage engine optimization, index selection) paired with go-to-market execution (DBaaS offering, private cloud, sales motion formalization). With 5 of 7 open roles at senior level and minimal recent hiring velocity, the team is focused on product depth over headcount growth.
SurrealDB builds a single-engine database designed to replace multiple specialized datastores in AI agent and real-time application architectures. The product handles document, graph, relational, time-series, and geospatial data natively, alongside vector and full-text search, and ships as a single Rust binary capable of running embedded, at the edge, or in a distributed cluster. Founded in 2022 and based in London, the company serves engineering teams at organizations looking to simplify data infrastructure. The technology is positioned for OLTP workloads, knowledge graphs, recommendation engines, and fraud detection systems, and includes backend-as-a-service capabilities with built-in user authentication.
SurrealDB's core is written in Rust. Infrastructure uses Kubernetes, Terraform, CloudFormation, and Pulumi. CI/CD runs on GitHub Actions, Jenkins, GitLab CI/CD, and CircleCI. Deployment targets AWS, Azure, and GCP.
SurrealDB is based in London, United Kingdom. The company hires in both the UK and the United States.
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