Ross ROSS = Recommend OSS · open-source software intelligence for agents

SurrealDB

Some data may be outdated — see provenance labels.

A scalable, distributed, collaborative, document-graph database, for the realtime web observed · 2026-09-30

github.com/surrealdb/surrealdb · homepage · Rust · NOASSERTION (other) observed · 2026-09-30

Health v2 · maintenance only

93/100

  • Activity 97
  • Release rhythm 85
  • Longevity 100

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 4.0
  • age_days: 1776
  • days_rel: 22
  • days_push: 22
  • n_releases_24m: 61

Full methodology

Adoption not part of the score

33087 stars · 1366 forks observed · 2026-09-30

What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-05, confidence 0.99

SurrealDB is a scalable, distributed, multi‑model database that combines document, graph, relational and vector storage in a single ACID engine. It can run embedded, as a single‑node server, or in a clustered cloud deployment.

Use cases

  • store and query graph and document data with real‑time updates
  • build AI agent memory layers that need persistent vector search
  • create a unified data layer for microservices without multiple databases
  • run an embedded database inside a Rust, JavaScript or Python application
  • scale a high‑throughput realtime backend for collaborative web apps

When to choose

  • you need a single database that supports documents, graphs, relational tables and vector embeddings
  • your application requires low‑latency realtime queries and live updates
  • you want a built‑in ACID engine that can run both embedded and as a distributed cluster
  • you are building AI‑native services that need integrated vector search and memory

When to avoid

  • you only need a simple key‑value store and want a lighter footprint
  • your stack relies on a relational database with extensive legacy tooling
  • you require a fully managed SaaS with no self‑hosting responsibilities
  • you need strict compliance certifications not yet offered by SurrealDB

Facets

service · maturity active

database vector-database search-engine databases artificial-intelligence windows cloud self-hosted distributed realtime multi-model acidity embedded sql graphql data-engineering linux macos docker

10 sources

Member repositories

For agents

markdown · JSON · MCP: product_card(name="surrealdb/surrealdb")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem