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Neo4j Stock (NEFJ)
Neo4j is a graph database management system.
Neo4j is a graph database platform.
About Neo4j Stock
Founded
2007
Headquarters
San Mateo, CA, US
Total Funding
368M
Industries
Software, Data and Analytics, Science and Engineering
Neo4j is an open-source, NoSQL, native graph database. Neo4j's mission is to help organizations make sense of their data by revealing how people, processes, and digital systems are interrelated. Neo4j's core offering, AuraDB, aims to assist in the creation of applications that solve connected data challenges such as analytics and artificial intelligence, fraud detection, real-time recommendations, and knowledge graphs.
Neo4j Press Mentions
Stay in the know about the latest news on Neo4j
Neo4j Invests US $100M in GenAI, Launches New Agentic AI Offerings
itwire • Oct 04, 2025
Neo4j Invests $100M in GenAI, Launches New Agentic AI Offerings
morningstar • Oct 02, 2025
Neo4j Launches agent builder, MCP server and startup program backed by $100M investment
siliconangle • Oct 02, 2025
KuCoin Appeals FINTRAC Decision, Reaffirms Commitment to Compliance
techstartups • Sep 26, 2025
Flox Raises $25M Series B Led by Addition
citybiz • Sep 26, 2025
Investors in Neo4j
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Neo4j Management
Leadership team at Neo4j
Chief Executive Officer
Emil Eifrem
Chief Financial Officer
Mike Asher
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Neo4j Key Facts
- Strong Financial Performance and Market Dominance: Neo4j has demonstrated significant financial momentum, surpassing $200 million in annual recurring revenue (ARR) in late 2024. The company has doubled its ARR in the past three years and is on track to become cash-flow positive, showcasing its ability to scale profitably. Its leadership is further reinforced by a reported 44% market share in the graph database management systems (DBMS) category, highlighting its dominance in a specialized yet high-growth segment of the broader $110 billion DBMS market.
- Pioneering Scalable Technology for AI Workloads: The company recently launched Infinigraph, a significant architectural advancement that allows users to run both operational and analytical workloads on a single graph database platform at over 100 terabytes in scale. This innovation, which supports billions of vectors and unifies real-time transactions with analytics, directly addresses the demands of large-scale AI applications. Early customers like Intuit and Dun & Bradstreet are already leveraging Infinigraph for complex use cases like fraud detection and semantic search, demonstrating its real-world value and a clear competitive advantage.
- Strategic Partnerships and Industry Recognition: Neo4j has strengthened its ecosystem through key partnerships and industry accolades. In late 2024, the company achieved Amazon Web Services (AWS) Competency Partner status in four categories, including Generative AI and Machine Learning. This, along with its existing integrations with Google Cloud's Vertex AI and Snowflake, makes it easier for customers to use Neo4j within their existing cloud and data architectures. The company's leadership is also recognized by Gartner, which positioned Neo4j as a "Visionary" in its 2024 Magic Quadrant for Cloud DBMS.
- Intensifying Competition and Commoditization of Graph Queries: Neo4j faces a dual-front competitive threat. It must compete with a growing number of specialized graph database alternatives like ArangoDB and TigerGraph. More significantly, hyperscalers like Amazon and Microsoft are integrating graph capabilities into their broader cloud platforms, such as Amazon Neptune and Azure Cosmos DB. Furthermore, the new SQL:2023 standard now includes property graph queries (SQL/PGQ), which could commoditize some of the unique querying advantages of a dedicated graph database and reduce vendor lock-in for customers.
- Cybersecurity and Vulnerability Management: Like all enterprise software, Neo4j is exposed to cybersecurity risks. A recent security advisory identified a DNS rebinding vulnerability in its Cypher MCP server (CVE-2025-10193), which could allow attackers to bypass security protections and execute unauthorized commands. While the company has released a patch, the continuous need to address such vulnerabilities and ensure robust security practices is a non-trivial operational and reputational risk, as a significant breach could damage customer trust.
- Dependency on Third-Party Integrations: Neo4j’s success depends on integration with third-party software, cloud platforms, and developer tools to enhance interoperability, data analytics capabilities, and scalability of graph database deployments. Dependency on ecosystem partners (e.g., cloud providers, AI platforms) for technology integration, API support, and service interoperability introduces risks related to platform changes, compatibility issues, and evolving industry standards.
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