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.
Intro to Neo4j(38:14)
Key benefits of Neo4j
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.
Latest Neo4j News
- Neo4j 2.0.2 Maintenance Release
Today we released the 2.0.2 maintenance release of Neo4j. This release comes with some critical stability improvements as well as a few small but handy Cypher type conversion functions. All Neo4j users are strongly recommended to upgrade to this release. Head on over to http://www.neo4j.org/download to upgrade to Neo4j 2.0.2. Neo4j 2.0.2 does not require any store-level upgrades from the
Neo4j White Papers
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 »
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 »