Data as of Sep 26, 2026 · Based on 4,029,442 AI responses across 13,338 prompts · See how Parse measures this
SurrealDB provides a unified data platform that combines documents, graphs, vectors, and SQL in a single ACID engine, letting you model your data yourself or use a memory layer for AI that handles context. Its Agent Memory stores and retrieves persistent context across conversations, documents, and systems with minimal code to support AI agents. The platform is proven in production by Samsung, Verizon, Tencent, and PolyAI and supports use cases like GraphRAG and knowledge-graph memory.
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Excerpts where SurrealDB appeared in the AI's answer
SurrealDB — a newer option if you want something more flexible than a conventional document DB. It supports schemaless or schemafull operation and ACID transactions across multiple records/tables.
SurrealDB is an excellent fit. It is fully ACID-compliant while allowing completely schemaless data initially
Excerpts where SurrealDB appeared in the AI's answer
SurrealDB : A multi-model database that natively stores numerical arrays as embeddings alongside your records, supporting built-in HNSW vector indexing with full ACID transactional consistency.
Excerpts where SurrealDB appeared in the AI's answer
SurrealDB can be run in an embedded mode directly inside an application process or memory space at the edge.
SurrealDB : A multi-model database designed for modern applications, cloud, and edge devices.