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Embedded graph database — Cypher queries, no server, no subscription. Rust-native with Python, Node.js & Ruby bindings.

57 starsRust

SparrowDB, SQLite of graph DB, written in Rust, Cypher compatible

by ryaker·Apr 2, 2026·2 points·1 comment
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AI Analysis

●●●BangerZero to OneBig BrainWizardry

SQLite for graphs—embedded Cypher DB with 93x faster COUNT than Neo4j.

Strengths
  • •No server, no JVM, no Docker—links directly into your process like SQLite.
  • •93x faster on global COUNT, 44x faster on Top-10 by degree than Neo4j.
  • •Built-in MCP server, Bolt protocol, and XChaCha20 at-rest encryption.
Weaknesses
  • •Traversal queries lag behind warmed Neo4j servers—author admits this openly.
  • •Pre-1.0 status means API stability and ecosystem maturity still developing.
Target Audience

Backend developers, serverless engineers, AI agent builders

Similar To

Neo4j · Memgraph · ArangoDB

Post Description

SparrowDB is an embedded Cypher graph database written in Rust. It links into your process the way SQLite does.

I built it because I wanted a graph DB without running Docker or a cloud instance.

SparrowDB kicks butt at point lookups, global COUNT(*), and top-10 by degree but lags on traversals (1-hop, 2-hop, and variable-length paths).

It's an embedded engine with no parallel execution vs a warmed JVM server with a mature query planner. The traversal workload is not the target. Agents, CLIs, serverless functions that need a knowledge graph without provisioning one, that's the target.

Cold start is ~27ms. If you're in a serverless context where Neo4j's startup time is disqualifying, that matters.

Bindings for Python, JavaScript/Typescript, and Ruby. All open the same on-disk format. Built-in MCP server for Claude Desktop. A Bolt protocol server was just added, so gdotv and other Bolt clients can connect. At-rest encryption with XChaCha20-Poly1305. MIT.

https://sparrowdb.dev Demo: https://www.loom.com/share/0dffc9274f5f4338878fe0ffa61f0f4e

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