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.

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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:


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.


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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++.

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Neo4j - The Fastest Path To Graph Success

Neerav Vyas Picture

Neo4j Blog
Driving Innovation and Powering Advanced Analytics with Neo4j

Neerav Vyas is the Head of Analytics at Realogy Holdings Corp. As an economist and a Neo4j user, he helps clients with graph analytics. In this presentation, Vyas illustrates how the journey of real estate should be a connected process and shares the story of his own move to New York City. He explains ...

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Neo4j Blog
Top 10 Graph Database Use Cases: Fraud Detection

Graph technology is the future. Not only do graph databases effectively store relationships between data points, but they’re also flexible in adding new kinds of relationships or adapting a data model to new business requirements. But how do companies today use graph databases to solve tough problems? ...

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Neo4j Blog
Announcing New Introduction to Neo4j 4.x Online Training Courses!

We have reorganized our Introduction to Neo4j course into multiple courses and we just published them on our GraphAcademy site. We have found that some users simply want an overview of Neo4j without needing to learn how to write Cypher statements. Other users want to learn how to query the graph, but ...

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