Neo4j World's Leading Graph Database

Neo4j

World’s Leading Graph Database

Neo4j is a robust and proven database technology built from the ground up for use in mission-critical systems with highly inter-connected data models.

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Intro to Neo4j(38:14)

Key benefits of Neo4j

  • Minutes-to-Milliseconds Performance

    Over relational database and other NOSQL alternatives, Neo4j turns complex joins into simple & fast graph traversals.

  • Fully ACID, Robust & Scalable

    Neo4j is an enterprise database with full ACIDity, support for high-availability clustering, and transaction support.

  • Drastically-Accelerated Development Cycles

    Thanks to its flexible data model and Cypher, an intuitive graph query language, Neo4j is easy to use.

  • Extreme Business Responsiveness

    Schemaless, unlike relational, Neo4j is flexible, yet, unlike other NOSQL databases, offers structure and meaning.

Neo4j Enterprise Edition

Neo4j Enterprise Edition is built to perform at scale for startups to enterprise implementations. Commercial subscriptions include the permission to integrate the enterprise editions in closed-source software products, service and support by Neo Technology.

Learn more about Neo4j’s Commercial Subscriptions »

Latest Neo4j News

  • GraphAlchemist Releases Alchemy.js 0.2.0
    GraphAlchemist to sponsor GraphConnect 2014 SF and demo latest Alchemy.js release Written by Huston Hedinger, Founder and CEO of GraphAlchemist and originally posted on the GraphAlchemist blog. GraphAlchemist is a Neo Technology partner and provides data science and data visualization […] The post GraphAlchemist Releases Alchemy.js 0.2.0 appeared first on Neo4j Graph Database.

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Neo4j White Papers

Graph Databases: The Super Fast New Way to Access Social DataGraph Databases: The Super Fast New Way to Access Social Data

A new type of database significantly changes the standard direction taken by NOSQL. Graph databases, unlike their NOSQL and relational brethren, are designed for lightning-fast access to complex data found in social networks, recommendation engines and networked systems. Get the White Paper »

NoSQL, Big Data, and GraphsNoSQL, Big Data, and Graphs

It used to be that databases were just tasked with digitizing forms and automating business processes. The data was often tabular – take an accounting ledger, for example –and the processes being modeled were reasonably static. Today, the types of data that we are interested in are much more diverse and dynamic. Get the White Paper »