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
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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Neo4j Blog
Graph Data Platforms: Collections vs. Connections

You may have heard that graph database technology underpins the latest in machine learning and AI. But what are graph data platforms and why are they rapidly becoming the first choice for application development? Can a shift in database technology really make a big difference? In this second blog of our ...

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Neo4j Blog
#GraphCast: Discover the Power of Graph Databases (GOTO Book Club)

Welcome to this week's #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, our Junior Editor, Zaw Win Htet, featured a yearly update from our very own CEO and Co-Founder, Emil Eifrem, in which Emil discussed how 2020 progressed and where graph ...

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