Neo4j is a leading native graph database platform designed to help organizations uncover complex relationships and patterns in their data, empowering developers and data scientists to build intelligent applications.
Neo4j is a highly scalable native graph database management system that stores and processes data as nodes, relationships, and properties. It is primarily designed for developers, data scientists, and enterprise architects who need to model, manage, and query highly connected data for applications like fraud detection, recommendation engines, and knowledge graphs. The platform's core value lies in its native graph architecture, which provides significant performance advantages for traversing complex relationships compared to traditional databases. Neo4j features a declarative query language called Cypher, built specifically for graphs, making it intuitive to express complicated queries. With both cloud (Aura) and self-hosted options, the platform provides flexibility for various deployment needs from small projects to large-scale enterprise systems.
Developers, data scientists, enterprise architects, and data analysts working on applications involving complex, connected data like fraud detection, knowledge graphs, and recommendation engines.
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2007
San Mateo, USA
AuraDB Free
For learning and small projects. Includes 1 graph, limited to 50k nodes and 175k relationships.
Free
Community Server
Self-hosted, open-source version for single-instance deployments. No enterprise features or professional support.
Free
AuraDB Professional
Pay-as-you-go managed cloud service for professional projects and applications. Includes automated backups, monitoring, and support.
$65/mo
AuraDB Enterprise
Fully managed cloud service for mission-critical systems. Includes advanced security, dedicated infrastructure, multi-region deployments, and premium support.
Custom
Enterprise Server
Self-hosted version for critical enterprise deployments. Includes features like high-availability clustering, advanced security, and enterprise support.
Custom
A fully managed graph database service from AWS, which is a strong choice for users already heavily invested in the AWS ecosystem.
A native parallel graph database known for its high performance on massive datasets and real-time deep link analytics capabilities.
A multi-model database supporting graph, document, and key-value models in a single engine, offering flexibility for applications with diverse data needs.
A globally distributed, multi-model database service that includes a graph API (Gremlin), suitable for enterprises needing multi-modal capabilities within Azure.
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