Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31
SurrealDB is a powerful multi-model database designed to accelerate the development of real-time applications with integrated AI and machine learning capabilities. It supports relational, document, graph, time-series, key-value, vector, and search data models in one platform.
Traffic & engagement
Search demand
AI referral visibility
Product profile
Traffic makes more sense when you can connect it to the actual product promise.
“SurrealDB”
SurrealDB is a powerful multi-model database designed to accelerate the development of real-time applications with integrated AI and machine learning capabilities. It supports relational, document, graph, time-series, key-value, vector, and search data models in one platform.
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://surrealdb.com
Observed across 1 discovery source.
Research questions
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
SurrealDB solves the problem of AI agents failing due to unreliable context, not model limitations. It provides a unified data layer that eliminates data fragmentation across multiple systems, which causes duplicate context, inflated token bills, and compounding latency. It integrates relational, document, graph, vector, and search data models into a single engine.
SurrealDB offers a single engine supporting relational, document, graph, time-series, key-value, vector, and search data models. It provides ACID compliance, allows users to design their own schema, and includes an Agent Memory feature that connects and retrieves context in one line of code. It is SOC 2 Type 2, GDPR, Cyber Essentials Plus, and ISO 27001 compliant.
SurrealDB is used as a unified data layer and agent memory layer for building real-time applications with integrated AI and machine learning. It is suitable for situations requiring multiple data models, such as combining documents, graphs, vectors, and SQL in one ACID-compliant engine, or for providing context retrieval for AI agents.
SurrealDB is designed for developers and teams building real-time applications, particularly those integrating AI agents. It targets users who need to model data themselves and own the schema, or who need a memory layer that handles AI modeling automatically. Production users include Samsung, Verizon, and Tencent.
SurrealDB is a powerful multi-model database and unified data layer designed to accelerate the development of real-time applications with integrated AI capabilities. It supports relational, document, graph, time-series, key-value, vector, and search data models in a single ACID-compliant engine.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.
Behind the lock
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured