ArangoDB
The native multi-model database for graphs, documents, and integrated AI vector search.
The World's Leading Graph Database for Knowledge Graphs and GraphRAG-powered AI.
Neo4j is the pioneer of the graph database category, engineered to manage and process highly connected data through a native graph storage architecture. Unlike relational databases, Neo4j utilizes index-free adjacency, allowing for millisecond-latency traversals across billions of nodes and relationships. In 2026, Neo4j has solidified its position as the foundational infrastructure for GraphRAG (Graph Retrieval-Augmented Generation). By combining traditional graph traversals with integrated vector search capabilities, it enables LLMs to access structured, contextual knowledge, effectively eliminating hallucinations in enterprise AI agents. The platform's ecosystem includes the Cypher query language, the Graph Data Science (GDS) library for predictive modeling, and AuraDB, a fully managed cloud service. Its architecture is strictly ACID-compliant, ensuring data integrity for mission-critical applications in fraud detection, supply chain management, and real-time recommendation engines. As AI shifts toward agentic workflows, Neo4j's ability to model complex dependencies makes it the primary choice for building 'long-term memory' for autonomous systems.
Native graph storage where each node directly points to its neighbors without using index lookups.
The native multi-model database for graphs, documents, and integrated AI vector search.
Unlock the biological blueprint of your professional network with AI-driven relationship intelligence.
The native GraphQL distributed graph database built for high-performance AI and knowledge graphs.
The scalable, open-source graph database for massive datasets and complex relationship mapping.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Store and query high-dimensional vectors directly within node properties.
65+ graph algorithms including PageRank, Louvain, and Node2Vec.
A declarative graph query language using ASCII-art syntax to represent patterns.
A way to query across multiple distributed graph databases as if they were one.
A business-intelligence style visualization tool for exploring graph data without code.
Ensures that all database transactions are Atomic, Consistent, Isolated, and Durable.
LLMs hallucinate when they lack specific structural context of corporate data.
Registry Updated:2/7/2026
Generate accurate, grounded responses.
Identifying complex fraud rings using multiple shared identifiers (IPs, emails, cards).
Predicting the impact of a single node failure (e.g., port closure) on a global network.