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What is pggraph?

evokoa/pggraph — explained in plain English

Analysis updated 2026-05-18

210RustAudience · developerComplexity · 4/5Setup · moderate

In one sentence

A Rust-based PostgreSQL extension that adds fast graph search and relationship queries to your existing database tables.

Mindmap

mindmap
  root((repo))
    What it does
      Adds graph traversal to Postgres
      Reads existing tables and foreign keys
      Builds fast in memory graph
    Tech stack
      Rust
      PostgreSQL extension
      In memory graph engine
    Use cases
      Path finding between records
      Social network queries
      Org hierarchy queries
    Audience
      Backend developers
      Data engineers
    Status
      Early alpha
      Not for production yet

Code map

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filefunction / class

What do people build with it?

USE CASE 1

Find shortest paths or connections between related records already in PostgreSQL.

USE CASE 2

Run relationship queries on social networks or organizational hierarchies without a separate graph database.

USE CASE 3

Speed up multi-hop queries that would otherwise need complex recursive SQL.

USE CASE 4

Explore graph traversal on existing data as an alternative to adopting a dedicated graph database.

What is it built with?

RustPostgreSQL

How does it compare?

evokoa/pggraphdavidpdrsn/axum-live-viewmanyougz/velotype
Stars210214191
LanguageRustRustRust
Last pushed2024-03-27
MaintenanceDormant
Setup difficultymoderatemoderateeasy
Complexity4/53/52/5
Audiencedeveloperdeveloperwriter

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires installing a Rust-built PostgreSQL extension on a supported Postgres version (13-18).

So what is it?

pgGraph is a PostgreSQL extension that adds graph search and traversal capabilities to your existing database tables, without requiring a separate graph database system. The problem it solves is that relational databases like PostgreSQL are excellent for straightforward queries, but struggle with questions like "find everyone connected to Alice within two hops" or "find the shortest path between this person and this company." Normally answering these questions requires writing complex recursive SQL queries that are slow and hard to maintain. pgGraph works by reading your existing PostgreSQL tables and the foreign key relationships between them, then compiling that data into a specialized in-memory structure optimized for graph traversal. When you run a graph query using the extension's SQL functions, the engine navigates connections between records at memory speed rather than doing slow database joins. Your original tables remain unchanged and continue to be the authoritative source of data. You would use this if you have a PostgreSQL database with interconnected records, such as social networks, organizational hierarchies, knowledge graphs, or any data with complex relationships, and you want to run path-finding or relationship queries without managing a separate graph database system. The extension is built with Rust and integrates directly into PostgreSQL, supporting versions 13 through 18. It is in early alpha and not yet recommended for production use.

Copy-paste prompts

Prompt 1
Explain how pgGraph turns my existing PostgreSQL tables into a graph without changing the original data.
Prompt 2
How would I use pgGraph to find everyone connected to a given record within two hops?
Prompt 3
What PostgreSQL versions does pgGraph support, and how do I install it as an extension?
Prompt 4
Compare using pgGraph versus a dedicated graph database for relationship queries.
Prompt 5
Since pgGraph is early alpha, what should I test carefully before relying on it?

Frequently asked questions

What is pggraph?

A Rust-based PostgreSQL extension that adds fast graph search and relationship queries to your existing database tables.

What language is pggraph written in?

Mainly Rust. The stack also includes Rust, PostgreSQL.

How hard is pggraph to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is pggraph for?

Mainly developer.

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