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

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Neo4j Blog
Happy Global Graph Celebration Day 2021!

This is the third year we're celebrating Global Graph Celebration Day, in honor of the birthday of Swiss mathematician and inventor of graph theory, Leonhard Euler. And just like in years past, we've got a few ways for all of you graph enthusiasts to celebrate! In a recent article in The Irish Times, ...

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Neo4j Blog
Happy One-Year Anniversary to Neo4j Graph Data Science!

Happy anniversary, Neo4j Graph Data Science! Has it really been a year already?! We announced the Neo4j’s Graph Data Science (GDS) framework back in April 2020, and we’ve come a long way since! To Catch You Up Neo4j GDS is the first enterprise graph framework for data scientists and ...

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Neo4j Blog
Graphs for Real-Time Transaction Processing: 5-Minute Interview with Jorge Zaccaro

“Once we noticed that we were modeling transactions as a graph, we went out to look for a native graph database and we found that Neo4j was a great fit for this use case,” said Jorge Zaccaro, Software Engineer at Minka. How does Neo4j help you solve that problem? We describe our use case as ...

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