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Neo4j

Leader

World's leading graph database; Native graph storage for fraud detection and knowledge graphs, with GraphRAG enabling structured relationship context for enterprise AI.

75
AI Score
Grade B
AI Visibility Score (Beta)
Data & AnalyticsWebsiteUpdated March 2026

Brand Intelligence Graph

Company Overview

About Neo4j

Neo4j is the world's leading graph database platform, providing native graph storage and processing for applications that require understanding complex relationships between data entities — social networks, fraud detection, knowledge graphs, supply chain mapping, and recommendation engines. Founded in 2007 and headquartered in San Mateo, California with operations in Sweden, Neo4j pioneered the property graph model and the Cypher query language specifically designed for traversing graph relationships at scale.

Business Model & Competitive Advantage

The company has raised over $325 million in total funding from investors including One Peak Partners, Goldman Sachs, and Creandum. Neo4j's platform is available as open source (Community Edition), enterprise software, and Neo4j AuraDB (fully managed cloud). Major use cases include bank fraud detection (tracing money through networks of accounts), knowledge graphs for AI applications, network and IT operations management, and life sciences drug interaction research. The company serves thousands of enterprises including Fortune 500 companies across financial services, telecommunications, and research sectors.

Competitive Landscape 2025–2026

In 2025, Neo4j has experienced significant growth as graph databases became central to knowledge graph construction for retrieval-augmented generation (RAG) AI applications. GraphRAG — using knowledge graphs to provide structured relationship context to LLMs — has emerged as an important technique for enterprise AI applications where entity relationships matter as much as text content. Neo4j's 2025-2026 strategy emphasizes GraphRAG tooling, vector + graph hybrid search (combining semantic similarity with relationship traversal), and expanding AuraDB to serve the growing AI developer market alongside its traditional graph analytics customers.

Founded
2007
Headquarters
San Mateo, California
Curated content • Fact-checked and verified

Recent Activity

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blog_post
What is AI-ready data? How a knowledge layer gets you there

Most enterprise AI projects stall in production, and the data behind them is usually the reason. Without AI-ready data, AI systems have access to your information but no way to reason over it. Traditional enterprise data infrastructure was built for… Read more →

blog_post
I built a digital twin of my amateur-built airplane

A co-worker suggested it to me at a tech meetup, and I dismissed it on the spot. A digital twin sounded like the kind of thing a car plant or an airline does, with a team and a budget to… Read more →

8-K
8-K — 8-K

Material Event filed 2026-06-25

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A workbench for teams to query, explore, and visualize graph data

If you’re building applications or working with connected data, you need tools. Tools for writing, debugging, and optimizing queries, creating rich dashboards, exploring and understanding data without writing code. Each activity has its own requirements and needs. You also don’t… Read more →

blog_post
Neo4j Named “One to Watch” in Snowflake’s 2026 Modern Marketing Data Stack Report

We’re excited to share that Neo4j has been recognized by Snowflake as a “One to Watch” in the AI/ML Development and Deployment category of The Modern Marketing Data Stack 2026: Governing the Agentic Enterprise report. Announced at Cannes Lions 2026,… Read more →

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8-K — 8-K

Material Event filed 2026-06-22

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This Week in Neo4j: Knowledge Graph, Life Sciences, GraphRAG, NODES, Startups and more

Check out what's new this week in Neo4j, including Knowledge Graph, Life Sciences, GraphRAG, NODES, Startups and more

8-K
8-K — 8-K

Material Event filed 2026-06-17

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Taxonomy vs. ontology vs. knowledge graph: What’s the difference?

AI cannot inherently understand, reason about, or make decisions based on raw data. To transform raw data into actionable knowledge, you must add structure, relationships, and meaning. If you’ve been exploring this space, you’ve likely encountered terms like taxonomy, ontology,… Read more →

blog_post
How Do You Defend Neo4j Against Quantum Computers?

How would you protect a Neo4j deployment against an advanced quantum computer that does not exist yet, but that could one day decrypt encrypted traffic captured today?That question is no longer theoretical for many security teams. Customers are increasingly asking whether… Read more →

8-K
8-K — 8-K

Material Event filed 2026-06-15

blog_post
Build a Semantic Layer from GCP with Neocarta

Build a graph-based semantic layer from GCP with NeocartaUse Neocarta to easily build semantic layer graphs for your agentic applications in Neo4jIntroductionSemantic layers are increasingly becoming an invaluable asset to agentic systems. They help an AI better understand the underlying data and… Read more →

Key Differentiators

Market Leader

Neo4j is recognized as a market leader in the Data & Analytics sector, demonstrating strong industry presence and customer trust.

Frequently Asked Questions

Estimated Visibility Trend (Beta)

Simulated 8-week rolling score

75
→ Stable

Based on estimated brand signals. Historical tracking coming soon.

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