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Graph Database Management Systems

A directory of graph database platforms — native property graphs, multi-model engines, RDF triple stores, and cloud and relational-integrated graph services — with the query-language standards and benchmarks used to compare them.

45 topics•6 categories•Updated October 2026

Native Property Graph Databases

14 entries

Purpose-built graph engines storing nodes, edges and properties.

01Neo4jA highly scalable native graph database, purpose-built to leverage not only data but also data relationships at enterprise scale. 02Neo4j AuraDBFully managed cloud version of Neo4j. 03TigerGraphDelivers the power of a scalable graph database and analytics platform — ideal for deep-link analytics on massive datasets. 04MemgraphAn in-memory graph database that uses the Cypher query language, aimed at real-time analytics and streaming graph workloads. 05FalkorDBLow-latency graph database with GraphRAG support. 06NebulaGraphA graph database built for super large-scale graphs with milliseconds of latency — handles billions of vertices and trillions of edges. 07JanusGraphA scalable graph database optimised for storing and querying graphs of hundreds of billions of vertices and edges across clusters. 08DgraphThe world's most advanced native GraphQL database with a graph backend — built for production-scale deployments. 09UltipaGraph database and analytics for real-time, deep-link queries. 10Apache HugeGraphOpen-source graph database supporting Gremlin and large-scale graphs. 11RocketgraphA graph analytics engine, formerly Trovares, for running queries over very large graphs. 12TIBCO Graph DatabaseDiscover, store, and convert complex dynamic data into meaningful insights using TIBCO's enterprise graph platform. 13BitsyA small, fast, embeddable, durable in-memory graph database compatible with TinkerPop 3 — perfect for lightweight applications. 14CayleyAn open-source graph database for Linked Data, written in Go and inspired by Freebase's graph technology. The GitHub repository's last commit was in July 2024, so check its activity before adopting it.

Multi-Model Databases with Graph

5 entries

Databases that combine graph with document, key-value, search or relational models.

RDF, SPARQL & Semantic Graph Stores

8 entries

Triple stores and semantic platforms for knowledge graphs.

Cloud & Relational-integrated Graph

6 entries

Managed graph services and graph features inside existing databases.

Standards, Benchmarks & Rankings

11 entries

Query-language standards and independent resources for comparing graph databases.

Related Pages

1 entries

Neighbouring pages on this site.

Frequently Asked Questions

What is a graph database?

A graph database stores data as nodes and edges with properties, so relationship traversal is fast compared with relational joins, which suits fraud detection, recommendations, knowledge graphs and network analysis.

Property graph or RDF?

Property graphs (Neo4j, TigerGraph, Memgraph) are queried with Cypher, GQL or Gremlin and suit applications, while RDF stores (GraphDB, Stardog, AllegroGraph) use SPARQL and suit linked data and knowledge graphs.

What is the GQL standard?

GQL is the ISO standard query language for property graphs, published in 2024 and closely related to openCypher. Support is growing across vendors.

Which graph database should I start with?

Neo4j and Memgraph have the largest communities, Amazon Neptune and Spanner Graph suit cloud-native teams, and Apache AGE adds graph queries to PostgreSQL.

Why was Apache Giraph removed?

Apache Giraph has been retired to the Apache Attic, so it is no longer an active project.