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

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Neo4j Blog
New Certification Exam Available: Neo4j Graph Data Science

We have added a new certification exam for Neo4j Graph Data Science on Neo4j GraphAcademy. There is a growing community of developers and data scientists who are using the Neo4j Graph Data Science Library to perform analysis of their graph data. The Neo4j Graph Data Science Library contains many ...

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Neo4j Blog
Top 10 Use Cases: Master Data Management

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
Graphs in China: 5-Minute Interview with Richard Wu & George Zhang

“Graph technology can be used in, for example, Chinese medicine, museum collection management, as well as knowledge graphs for copyright management. Those were all areas we never thought we would be touching,” said Richard Wu, co-founder of Beijing We-Yun Data Co. In this week’s 5-minute ...

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