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

Iian Neill Picture

Neo4j Blog
Building a Graph of History with The Codex

Presentation Summary The Codex attempts to deeply integrate text and data by building a graph network of people, places, events and concepts embedded in texts. In this post, Iian Neill, Visiting Researcher at the Digital Academy of the University of Mainz, will go over some of the Codex's core entities. ...

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Jessica Baumgardner Picture

Neo4j Blog
#GraphCast: How to Solve a Crime with Graph Theory

Welcome to this week's #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, our Managing Editor, Jocelyn Hoppa, unearthed a clip of the erstwhile CBS show Numb3rs (a show that my mom and I loved), showing how a mathematician solved crimes for ...

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Lju Lazarevic Picture

Neo4j Blog
Neo4j Bloom Tips and Tricks for Domain Knowledge Experts

Editor’s Note: This presentation was given by Lju Lazarevic at GraphConnect New York City in September 2018. Presentation Summary In this talk, Dr. Lazarevic will share some Neo4j Bloom tips and tricks for domain knowledge experts who don’t necessarily have a background in SQL and/or Cypher-led ...

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