Why Neo4j?

Learn the basics in about a minute

What is Neo4j?

Neo4j is a native graph database, built from the ground up to leverage not only data but also data relationships. Neo4j connects data as it’s stored, enabling queries never before imagined, at speeds never thought possible.

The Native Graph Advantage

Unlike traditional databases, which arrange data in rows, columns and tables, Neo4j has a flexible structure defined by stored relationships between data records.

With Neo4j, each data record, or node, stores direct pointers to all the nodes it’s connected to. Because Neo4j is designed around this simple, yet powerful optimization, it performs queries with complex connections orders of magnitude faster, and with more depth, than other databases.

Learn More

Cypher — The Graph Query Language

With Neo4j, connections between data are stored – not computed at query time. Cypher is a powerful, graph-optimized query language that understands, and takes advantage of, these stored connections.

When trying to find patterns or insights within data, Cypher queries are often much simpler and easier to write than massive SQL JOINs. Since Neo4j doesn’t have tables, there are no JOINs to worry about. For comparison with SQL, here's a simple Cypher query matching all products in a category hierarchy:

Cypher

Here's a similar query in SQL, which is longer and more complex. Unlike Cypher, where depth is unlimited, this SQL query selects just three levels of depth.

SQL

Learn More

Use Your Favorite Programming Language

Neo4j officially supports drivers for .Net, Java, JavaScript, Go and Python. Our community contributors provide many more, including PHP, Ruby, R, Erlang, Clojure and C/C++.

Learn More
Learn More

Neo4j - The Fastest Path To Graph Success

Jim Webber & Rik Van Bruggen Picture

Neo4j Blog
Introducing Graph Databases For Dummies

Graph databases are the fastest growing database technology. Some people are drawn to graph databases for technical or performance reasons; others become interested because of the intuitive data model. One thing is clear: Graphs represent a departure from the relational and NoSQL models, but this ...

Read More
Craig Taverner Picture

Neo4j Blog
Building Spatial Search Algorithms for Neo4j

Editor’s Note: This presentation was given by Craig Taverner at ...

Read More
Darryl Salas Picture

Neo4j Blog
Combating Money Laundering: Graph Data Visualizations

Money laundering is among the hardest activities to detect in the world of financial crime. Funds move in plain sight through standard financial instruments, transactions, intermediaries, legal entities and institutions – avoiding detection by banks and law enforcement. The costs in regulatory fines and ...

Read More