Neo4j
Neo4j provides a graph database and AI knowledge layer platform that models connected data and powers GraphRAG and agentic AI for enterprises. It serves Fortune 100 customers across financial services, healthcare, government, retail, and telecommunications via cloud and self-managed deployments.
- Company typePrivate
- Founded2007
- HeadquartersSan Mateo, United States
- Headcount1,001–5,000
- GTM typeB2B
- OfferingSoftware
What Neo4j does
Neo4j is a graph database and AI knowledge layer company founded in 2007 and headquartered in San Mateo, California. Its platform stores data as nodes and relationships using the property graph model, queried through the Cypher declarative language that has been aligned with the ISO/IEC 39075 GQL international standard. The company serves enterprise customers across financial services, healthcare and life sciences, retail, telecommunications, and government and defense, including 80+ of the Fortune 100. Named deployments span Uber, Intuit, BNP Paribas Personal Finance, Merck Group, Boston Scientific, Novo Nordisk, Gilead Sciences, QIAGEN, the U.S. Army, and Transport for London.
The product portfolio operates through two deployment models. Fully-managed cloud services include AuraDB (managed graph database with 99.95% SLA), Aura Graph Analytics (serverless, usage-priced at $0.40 per GB-RAM-hour, running 65 graph algorithms without ETL on data in Snowflake, Databricks, and major clouds), Virtual Graph (zero-copy graph reasoning on data warehouse tables), and Aura Agent (a platform for building context-aware AI agents). Self-managed software includes the Neo4j Graph Database, Graph Data Science library, Enterprise Studio for visualization, and the newly GA Fleet Manager control plane. Underlying capabilities such as GraphRAG, Context Graphs (long-term, short-term, and reasoning memory for AI agents), the MCP Server, and native vector search position Neo4j as the persistent knowledge substrate for LLM-powered systems.
Revenue is generated primarily through recurring subscriptions. AuraDB is sold in Free, Professional (starting $65/month), and Business Critical tiers with monthly or annual billing, while enterprise self-managed software is quote-based on cores and capacity. Professional services supplement the subscription base, and the Startup Program has issued over $1.5M in credits to 700+ AI startups as a customer acquisition funnel. Go-to-market combines enterprise field sales for complex deployments, a self-serve PLG motion through the AuraDB free tier, and a 170+ partner ecosystem anchored by hyperscalers (AWS, Azure, Google Cloud), data platforms (Snowflake, Databricks), and system integrators (Capgemini). Disclosed revenue is above $200 million with ARR above $200 million as of December 2025.
Neo4j firmographics
Firmographics- Name
- Neo4j
- Legal name
- Neo4j, Inc.
- Website
- https://www.neo4j.com/
- Company type
- Private
- Founded year
- 2007
- Operating status
- Operating
- Headcount range
- 1,001–5,000 employees
- Short description
- Neo4j provides a graph database and AI knowledge layer platform that models connected data and powers GraphRAG and agentic AI for enterprises. It serves Fortune 100 customers across financial services, healthcare, government, retail, and telecommunications via cloud and self-managed deployments.
- Ownership category
- akta.pro rank
Neo4j industry classification
Industry- Product category
- Graph Database Platform
- NAICS
- Software Publishers (5132), Computer Systems Design and Related Services (54151), Custom Computer Programming Services (541511)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Data Platform (Unified Data & Analytics) Suites (HDAEABAD)
- akta.pro secondary industries
- Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH), Metadata, Catalog & Semantic Layer for Data Platforms (HDAEABAJ), Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM) (BPAEAHAC)
Keywords
Where Neo4j is headquartered
LocationHeadquarters
- HQ city
- San Mateo
- HQ country
- United States
- HQ region
- North America
Offices5 records
Markets served
Neo4j business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- Cloud Subscriptions (AuraDB): Fully-managed cloud database service offered in tiers (Free, Professional, Business Critical) with monthly or annual billing. Revenue from cloud infrastructure plus software subscription.
- Enterprise Software Licenses: Self-managed software subscriptions for Neo4j Graph Database Enterprise Edition and Graph Data Science, sold as term licenses with capacity-based pricing.
- Professional Services: Implementation, training, and consulting services delivered by Neo4j or certified partners for enterprise deployments.
- Startup Program Credits: Free credits provided to AI startups (over $1.5M to 700+ startups) with path to commercial conversion as companies scale.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | AuraDB Free - Entry-level cloud graph database |
| Subscription | Monthly | AuraDB Professional - Production workloads for growing teams |
| Subscription | Monthly | AuraDB Business Critical - Mission-critical enterprise deployments |
| Usage-based | Pay-as-you-go | Aura Graph Analytics - Serverless graph algorithms |
| Subscription | Annual | Neo4j Enterprise (Self-Managed) - On-premises or cloud-hosted |
Go-to-market motion3 records
Distribution channels8 records
Marketing channels6 records
Neo4j product offering
Product offeringCore offering
Neo4j sells a graph intelligence platform for storing, querying, and analyzing highly connected data. Offerings span a fully-managed cloud graph database (AuraDB), self-managed graph database software, graph analytics, AI agent infrastructure, and enterprise management tools. The platform is built on a property graph model with the Cypher query language (aligned with ISO/IEC GQL) and serves as the knowledge layer for AI applications through GraphRAG, Context Graphs, and persistent agent memory.
Product overview
Neo4j is a graph intelligence platform providing a comprehensive portfolio of products for storing, analyzing, and leveraging connected data for AI applications. The platform consists of two deployment models: fully-managed cloud services (AuraDB, Aura Graph Analytics, Aura Agent) and self-managed software (Neo4j Graph Database, Graph Data Science, Enterprise Studio). Core capabilities include AuraDB for cloud-native graph database operations, Aura Graph Analytics for running 65 graph algorithms without ETL on data in Snowflake, Databricks, and relational databases, Aura Agent for building context-aware AI agents, and Neo4j Graph Database for self-managed deployments. The Knowledge Layer serves as the strategic positioning, connecting enterprise data to AI systems through GraphRAG, context graphs, and persistent agent memory. Supporting tools include Fleet Manager for unified deployment management, Cypher query language (now aligned with ISO GQL standard), GraphQL Library, visualization tools like Neo4j Bloom, and connectors for Apache Spark, Kafka, and Change Data Capture. The platform integrates with major cloud providers (AWS, Azure, Google Cloud), data warehouses (Snowflake, Databricks), AI frameworks (LangChain, LlamaIndex), and enterprise tools like Microsoft Fabric and Confluent.
Differentiator
Problem solved
Functional benefit
Brands
- AuraDB: Fully-managed cloud database service for storing and querying connected data at scale.
- Aura Graph Analytics
- Aura Agent
- Neo4j Graph Database
- Neo4j Graph Data Science
- Enterprise Studio
- Fleet Manager
- Cypher
- Neo4j Bloom
- GraphAcademy
- GraphGists
Products and services
- AuraDB
Quantifiable outcome
- 230% ROI validated by IDC with $4M annual value and 7.8-month payback for enterprise deployments
- +5 more outcomes
Companies that use Neo4j
Customer profileNamed customers15 records
Segments6 records
Ideal customer profiles3 records
Neo4j technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration15 records
AI capability12 records
Feature11 records
Neo4j partnerships and signals
Strategic signalPartnerships
Nine partnerships are on record, tiered core and flagship.
- GraphAwarecoreAcquisition of GraphAware, an intelligence analysis software company for government agencies, as a sovereign alternative to Palantir Gotham. Deal expected to close Q3 2026 pending regulatory approvals. GraphAware to operate as standalone business unit led by CEO Michal Bachman. Marks milestone in Neo4j's $100M AI investment roadmap, integrating GraphAware Hume into Neo4j ecosystem for mission-critical government environments including law enforcement, defense, and cyber defense.
- AWS (Amazon Web Services)coreDeep integration partnership with AWS including three specialization competencies (Government, Life Sciences, Agentic AI), AWS Marketplace listing, and co-development of graph solutions. Neo4j serves as AWS Competency partner with extensive customer deployments on AWS infrastructure.
- Google CloudcorePremier partner status with Google Cloud, integration with Google Cloud Marketplace, and collaboration on AI initiatives including Vertex AI and agent frameworks. Neo4j Graph Intelligence available through GCP marketplace with GKE support.
- Microsoft AzurecoreStrategic partnership with Microsoft including Azure Marketplace listing, Neo4j Graph Intelligence for Microsoft Fabric integration, and support for Microsoft Agent Framework. Deep technical integration enabling Azure customers to deploy graph databases and knowledge graphs.
- SnowflakecoreNeo4j Graph Analytics integrated with Snowflake AI Data Cloud, enabling zero-ETL graph algorithms on Snowflake data. Virtual Graph feature enables graph reasoning on Snowflake data without data movement. Collaboration on GraphRAG and knowledge graph solutions.
- DatabrickscorePartnership to integrate graph intelligence with Databricks Data Intelligence Platform, enabling GraphRAG applications that ground AI in connected enterprise knowledge. Joint customer solutions for financial services, healthcare, retail, and supply chain.
- CapgeminiflagshipStrategic partnership with Capgemini and Databricks to help enterprises operationalize data and AI platforms by combining graph intelligence with lakehouse architecture. Capgemini serves as implementation partner translating platform investments into measurable business outcomes across financial services, life sciences, retail, and manufacturing.
- IndyKitecoreStrategic partnership integrating Neo4j's graph database into IndyKite's knowledge graph platform for trusted enterprise AI data management. Joint go-to-market for Knowledge-Based Access Control (KBAC) solutions to help enterprises govern data access for AI agents. Customers include Rockwell Automation and PACCAR.
- IndyKitecoreStrategic partnership to advance trusted data foundations for enterprise AI through integration of Neo4j's graph database technology into the IndyKite Platform. Aims to improve data governance, provenance, and AI security.
Scale indicators8 records
Recent moves6 records
Expansion highlights8 records
Neo4j competitors and assessment
Company assessmentDirect peers
- TigerGraph: Direct competitor in the native graph database category, offering a distributed graph database platform (Graph Data Science, ML workloads) targeted at enterprise fraud, customer 360, and analytics use cases — the same core workloads as Neo4j.
- Memgraph: In-memory graph database provider competing head-to-head with Neo4j on real-time graph analytics, GraphRAG, and AI-driven use cases, with overlap in developer-led adoption and enterprise deployments.
- ArangoDB: Multi-model database (graph, document, key-value) that competes with Neo4j in graph workloads while offering broader data model flexibility, with overlapping enterprise and AI customer targets.
Broad incumbents
- Amazon Neptune: AWS-managed graph database service bundled into the AWS ecosystem, directly competing with AuraDB for AWS-deployed graph workloads and offering property-graph and RDF models as part of a broader cloud portfolio.
- Azure Cosmos DB (Gremlin API): Microsoft's globally distributed multi-model database with Gremlin graph API support, positioned as the default graph option for Azure customers and a direct competitor to Neo4j on the Microsoft stack.
- MongoDB: Leading document database with emerging graph capabilities ($lookup aggregations, Atlas Graph) that competes with Neo4j for connected data workloads, with overlapping enterprise customer base and developer-led GTM.
- DataStax (Astra DB): Cassandra-based distributed database with graph capabilities and a managed cloud offering, competing with Neo4j for enterprise real-time data and AI workloads at large scale.
Emerging players
- Pinecone: Pure-play vector database that competes with Neo4j's vector search and GraphRAG offerings in the AI/retrieval layer, particularly for customers defaulting to vector-only RAG architectures.
- Weaviate: Open-source vector database with hybrid search capabilities that competes in the AI retrieval layer adjacent to Neo4j's GraphRAG, often evaluated as an alternative by enterprises building LLM applications.
- SingleStore: Real-time distributed SQL database with graph processing capabilities, competing with Neo4j in analytics-heavy and AI-driven workloads where customers want a single converged data platform.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks5 records
Key highlights6 records
Customer concentration
Neo4j social profiles
Digital presenceNeo4j compliance and trust
Trust signalCompliance7 records
Neo4j financial estimates
Financial estimateRevenue estimate
Valuation estimate
Neo4j leadership team
Management profileNumber of profiles
Profiles9 records
Neo4j subsidiaries and ownership
Company hierarchySubsidiaries3 records
Neo4j funding detail
Funding detailFunding overview
Funding rounds11 records
Investors17 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Neo4j M&A and investment
M&A and investmentM&A2 records
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Neo4j
What does Neo4j do?
Neo4j sells a graph intelligence platform for storing, querying, and analyzing highly connected data. Offerings span a fully-managed cloud graph database (AuraDB), self-managed graph database software, graph analytics, AI agent infrastructure, and enterprise management tools. The platform is built on a property graph model with the Cypher query language (aligned with ISO/IEC GQL) and serves as the knowledge layer for AI applications through GraphRAG, Context Graphs, and persistent agent memory.
Is Neo4j a public or private company?
Neo4j is a private company. It is classified as venture growth investor backed and is currently operating.
When was Neo4j founded?
Neo4j was founded in 2007. It employs 1,001 to 5,000 people.
Where is Neo4j based?
Neo4j is headquartered in San Mateo, United States, in the North America region.
How does Neo4j make money?
Four revenue lines are on record. Cloud Subscriptions (AuraDB) is the primary driver. The others are enterprise Software Licenses, professional Services and startup Program Credits.
Who are Neo4j's main competitors?
Direct peers on record are TigerGraph, Memgraph and ArangoDB. Broad incumbents are Amazon Neptune, Azure Cosmos DB (Gremlin API), MongoDB and DataStax (Astra DB). Emerging players are Pinecone, Weaviate and SingleStore.
Does Neo4j have an API?
Yes. Neo4j provides comprehensive API access through multiple protocols including Bolt protocol, HTTP API, and Query API. Official drivers are available for Python, Go, Java, JavaScript, .Net, Ruby, and PHP. The platform also offers a Neo4j GraphQL Library and JDBC Driver for integration. MCP (Model Context Protocol) servers are available for executing Cypher queries, running graph algorithms, modeling graphs, and managing Aura infrastructure. Developer documentation is at neo4j.com/docs.
What industry is Neo4j in?
Neo4j's product category is Graph Database Platform. Its primary akta.pro industry code is HDAEABAD, Data Platform (Unified Data & Analytics) Suites, with a secondary code of HDAEANAH, Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs). Its NAICS code is 5132 and its SIC code is 7372.