The #1 graph database service for connected data. Fast. Reliable. Powerful.

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:

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

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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

Neo4j - The Fastest Path To Graph Success

What is Neo4j?

Soham Dhodapkar Picture

Neo4j Blog
Getting Started with Neo4j Fabric

Fabric is a new feature introduced in Neo4j 4.0 and is a way to store and retrieve data in multiple databases. This feature makes it easy to query the data in the same DBMS or multiple DBMS using a single Cypher query. In practical terms, Fabric provides the infrastructure and tooling ...

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Max de Marzi Picture

Neo4j Blog
The Secret Sauce of Neo4j: Modeling and Querying Graphs

Editor’s Note: This presentation was given by Max De Marzi at GraphConnect New York in September 2018. Presentation Summary Welcome to the world of graphs. If this is one of your first visits and you feel like you don't quite understand what graphs are all about, then continue reading this ...

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Navneet Mathur Picture

Neo4j Blog
Rethink Your Master Data: The Limits of Relational Databases

Data is both our most valuable asset and our biggest ongoing challenge. As data grows in volume, variety and complexity, across applications, clouds and siloed systems, traditional ways of working with data no longer work. Increasingly, businesses are recognizing a need to harness all of their data, ...

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