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Runtime environments for processing complex multi-model database queries and operations.
Distinguishing note: Focuses on the execution engine's ability to handle multiple models natively.
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SurrealDB is a multi-model database engine designed to store and query document, graph, relational, and vector data within a single ACID-compliant platform. It functions as an AI-native data store, integrating vector search, graph traversal, and machine learning model execution directly into its query layer. By providing a unified declarative query language, the platform eliminates the need for external middleware to synchronize data across different storage models. The platform distinguishes itself through its ability to manage agent memory and complex workflows natively. It allows developer
Performs document storage, search, vector processing, and graph querying natively within a single unified engine.