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AgensGraph

Place
#31 of 39
Score
5.3
AgensGraph's website

The facts below are what the maker publishes about AgensGraph, checked and dated. Our editors have not written about it yet.

Plans and prices

From AgensGraph's own pricing page, checked 9 Oct 2026.

All about pricing
PlanPriceWhat it gives you
AgensGraph Community EditionPriced on requestLinux x86-64 · Docker · source code

The facts

Each one read from AgensGraph's own pages, with the date it was checked.

What it does

AI integrations
The download page lists graph-store integrations for LangChain and LlamaIndex.checked 9 Oct 2026
Certification
The maker states that AgensGraph has GS certification grade 1 and cites 10 foundational patents.checked 9 Oct 2026
Deployment
The maker documents Linux and Windows installation, while its current download page lists the Community Edition for Linux x86-64, Docker, and source code.checked 9 Oct 2026
Drivers
The download page lists Python, Node.js, Go, and JDBC drivers for AgensGraph.checked 9 Oct 2026
Graph scale
The maker says AgensGraph can store and explore relationship data at a scale of tens of billions of records.checked 9 Oct 2026
Integrations
The maker lists PostgreSQL, standard SQL, JDBC, ODBC, Apache AGE, heterogeneous databases, and BI tools among the technologies it connects with.checked 9 Oct 2026
Notable limit
The installation guide says customers seeking AgensGraph for operating systems other than Linux or Windows should contact SKAI Worldwide support.checked 9 Oct 2026
Product
AgensGraph is a hybrid relational and graph database that handles structured data and relationships in one engine.checked 9 Oct 2026
Query languages
It supports SQL and the graph query language Cypher in the same engine.checked 9 Oct 2026
Security and reliability
The product page says it supports redundancy and high-availability configurations.checked 9 Oct 2026
Support
The maker says its Korea-based engineers provide direct support and that PGTS maintenance provides deployment and operations SLAs.checked 9 Oct 2026
Use cases
The maker describes financial fraud detection, public-sector anomaly detection, knowledge graphs, Graph RAG, and analysis of connected structures as use cases.checked 9 Oct 2026

The company

Company history
The company’s timeline says it was established in 2013 under the name Bitnine and released AgensGraph in 2017.checked 9 Oct 2026
Headquarters
Seoul, South Koreachecked 28 Sep 2026

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