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Systems that maintain historical snapshots of data to allow for time-travel or auditing.
Distinguishing note: Focuses on immutable snapshots rather than simple CRUD operations.
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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
Maintains historical data snapshots using an immutable tree structure.