S

SurrealDB

Invited

Multi-model database for modern applications — document, graph, relational, and time-series in one.

developer toolsCH-VER-467689Listed June 12, 2026
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AI-Extractable Summary
What:Multi-model database for modern applications — document, graph, relational, and time-series in one.
For whom:Developers building modern applications who need flexible data modeling without managing multiple database systems
Key outcome:Replace multiple databases with one — query documents, graphs, and relations in a single language
Category:developer tools

Structured for AI systems to extract and cite.

Citability Score

49/100
60
Identity
45
Evidence
15
Trust
50
Freshness
85
Classification
2
Impressions
0
Clicks
0
Saves
0
GQI Earned

Citable Outcome

Replace multiple databases with one — query documents, graphs, and relations in a single language.

About

SurrealDB is a multi-model database that combines document, graph, relational, and time-series capabilities into a single platform. Write SQL-like queries across all data models. Built-in real-time subscriptions, authentication, and permissions. Designed for building modern agentic AI applications.

Target Audience: Developers building modern applications who need flexible data modeling without managing multiple database systems.

What makes it different

  • Document + graph + relational + time-series in one database
  • SQL-like query language across all data models
  • Built-in real-time subscriptions and authentication
  • Designed for agentic AI applications with flexible schemas

Tags & Classification

buildscaleintegrate
multi-model-databasegraph-databaseagentic-ai-data
developer-toolsai-ml
Platform: DatabaseModel: Open Source

Links & Transparency

Cite this Project

BibTeX
@misc{citablehub_surrealdb,
  title = {SurrealDB},
  url = {https://citablehub.com/p/surrealdb},
  note = {Listed June 12, 2026. CitableHub ID: CH-VER-467689},
  year = {2026}
}
APA
SurrealDB. (2026). CitableHub Software Index. https://citablehub.com/p/surrealdb.
MLA
"SurrealDB." CitableHub, 2026, https://citablehub.com/p/surrealdb.