
AgensGraph
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.
| Plan | Price | What it gives you |
|---|---|---|
| AgensGraph Community Edition | Priced on request | Linux 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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