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Neo4j Graph Data Platform


BLAZING-FAST GRAPH,
PETABYTE SCALE

With proven trillion+ entity performance, developers, data scientists, and
enterprises rely on Neo4j as the top choice for high-performance, scalable
analytics, intelligent app development, and advanced AI/ML pipelines.

Start Free for Developers
Start Free for Data Scientists

Neo4j helped NASA save millions of dollars and two years in their work on the
Mission to Mars.



"[Neo4j] is a revolutionary discovery tool that's transformed our investigative
journalism process."



"[Neo4j] has increased productivity for the entire data science organization by
about 30%."



"Over the course of two years, €2 millions of operational profit value was
identified. This value is even structurally underestimated."



Neo4j helped NASA save millions of dollars and two years in their work on the
Mission to Mars.



"[Neo4j] is a revolutionary discovery tool that's transformed our investigative
journalism process."



“[Neo4j] has increased productivity for the entire data science organization by
about 30%."

“Over the course of two years, €2 millions of operational profit value was
identified. This value is even structurally underestimated.”



Neo4j is “thousands of times faster than our prior MySQL solution, with queries
that require 10-100 times less code.”



Caterpillar transformed text locked in 27 million documents into a voice
searchable knowledge graph ready to answer any question.



“If I were to tell our investigators today that we were doing away with Neo4j,
there would be a huge outcry.”



Meredith turned 14B anonymous users into 163M unique profiles, creating a better
user experience and leading to 612% more web traffic.



Neo4j is “thousands of times faster than our prior MySQL solution, with queries
that require 10-100 times less code.”



Caterpillar transformed text locked in 27 million documents into a voice
searchable knowledge graph ready to answer any question.



“If I were to tell our investigators today that we were doing away with Neo4j,
there would be a huge outcry.”



Meredith turned 14B anonymous users into 163M unique profiles, creating a better
user experience and leading to 612% more web traffic.


Previous Slide◀︎ Next Slide▶︎

 * Neo4j helped NASA save millions of dollars and two years in their work on the
   Mission to Mars.
   
   

 * "[Neo4j] is a revolutionary discovery tool that's transformed our
   investigative journalism process."
   
   

 * “[Neo4j] has increased productivity for the entire data science organization
   by about 30%."
   
   

 * Neo4j is “thousands of times faster than our prior MySQL solution, with
   queries that require 10-100 times less code.”
   
   

 * Caterpillar transformed text locked in 27 million documents into a voice
   searchable knowledge graph ready to answer any question.
   
   

 * “If I were to tell our investigators today that we were doing away with
   Neo4j, there would be a huge outcry.”
   
   

 * “Over the course of two years, €2 millions of operational profit value was
   identified. This value is even structurally underestimated.”
   
   

 * Meredith turned 14B anonymous users into 163M unique profiles, creating a
   better user experience and leading to 612% more web traffic.
   
   

First slide details. Second slide details.Current Slide Third slide details.
Fourth slide details. Fifth slide details. Six slide details. Seventh slide
details. Eight slide details.

Introducing Neo4j Graph Data Science as a Service

   
 * 
   
 * 
   
 * 


THE GRAPH DATA PLATFORM FOR TODAY'S INTELLIGENT APPLICATIONS

Powered by a native graph database, Neo4j stores and manages data in its more
natural, connected state, maintaining data relationships that deliver
lightning-fast queries, deeper context for analytics, and a pain-free modifiable
data model.

The Graph Technology Leader


UNCOMPROMISED PERFORMANCE, RELIABILITY, AND INTEGRITY

The creator and leader of the graph database category, Neo4j continues to expand
the limits of graph technology, helping empower the largest active community of
220,000 developers, data scientists, and architects who are working to solve the
world's most complex and valuable data problems.

Learn more about Performance


MACHINE LEARNING INNOVATION


REVEALING RICHER CONTEXT TO DRIVE DEEPER INSIGHTS

Analysts and data scientists can incorporate network structures to infer
meaning, increase ML accuracy, and drive contextual AI – making better
predictions with the data they already have.

Neo4j is fueled by our vast, production-ready algorithm library and advanced,
groundbreaking machine learning workflows not found anywhere else.

Learn about Graph Data Science


Battle-tested for performance


THE MOST TRUSTED. THE MOST SECURE. THE MOST DEPLOYED.

Neo4j is the only enterprise-strength graph database that combines native graph
storage, advanced security, scalable speed-optimized architecture, and ACID
compliance to ensure predictability and integrity of relationship-based queries.
That’s why it’s deployed by hundreds of Fortune 500 companies, government
agencies, and NGOs.

See Our Customers


NEO4J AS A SERVICE


NEO4J AURA: THE FULLY
MANAGED CLOUD SERVICE

Neo4j Aura is a fast, scalable, always on and fully automated graph platform,
offered as a cloud service. Aura lets you focus on your core innovation rather
than spending time managing infrastructure.

Neo4j Aura includes AuraDB, the graph database as a service for developers
building intelligent applications and AuraDS, the graph data science as a
service for data scientists building predictive models and analytics workflows.

LEARN MORE

AuraDB AuraDS
Fully automated provisioning, upgrades and backups
Always-on, Secure, Reliable and ACID compliant
Scalable, on-demand without interruption
Simple Consumption-Based pricing


Cypher: The graph Query Language


NO MORE COMPLEX JOINS

Cypher is a powerful, intuitive, graph-optimized query language that
understands, and takes advantage of, data connections. It’s user-friendly, easy
to learn, and follows connections – in any direction – to reveal previously
unknown relationships and clusters.

When trying to find patterns or insights within data, Cypher queries are much
simpler and easier to write than massive SQL joins. Since Neo4j doesn’t have
tables, there are no joins to worry about. Compare the Cypher query at the left
with its equivalent in SQL.

Learn more about Cypher
Cypher

MATCH (p:Product)-[:CATEGORY]->(l:ProductCategory)-[:PARENT*0..]->(:ProductCategory {name:"Dairy Products"})
RETURN p.name

SQL

SELECT p.ProductName
FROM Product AS p
JOIN ProductCategory pc ON (p.CategoryID = pc.CategoryID AND pc.CategoryName = "Dairy Products")

JOIN ProductCategory pc1 ON (p.CategoryID = pc1.CategoryID)
JOIN ProductCategory pc2 ON (pc1.ParentID = pc2.CategoryID AND pc2.CategoryName = "Dairy Products")

JOIN ProductCategory pc3 ON (p.CategoryID = pc3.CategoryID)
JOIN ProductCategory pc4 ON (pc3.ParentID = pc4.CategoryID)
JOIN ProductCategory pc5 ON (pc4.ParentID = pc5.CategoryID AND pc5.CategoryName = "Dairy Products");


USE YOUR FAVORITE PROGRAMMING LANGUAGES

We aim to make the Neo4j experience fast, natural, and fun for developers. Neo4j
supports GraphQL and drivers for .Net, Java, Node.js, Python, and more. Our
community of contributors provide many more drivers, including PHP, Ruby, R,
Erlang, and Clojure.

Learn more about Drivers
 * NodeJS
 * Python
 * Go
 * .NET
 * Java

// npm install --save neo4j-driver
// node example.js
const neo4j = require("neo4j-driver");
const driver = neo4j.driver("bolt://<HOST>:<BOLTPORT>", neo4j.auth.basic("<USERNAME>", "<PASSWORD>"), {
	/* encrypted: 'ENCRYPTION_OFF' */
});

const query = `
  MATCH (p:Product)-[:PART_OF]->(:Category)-[:PARENT*0..]->
  (:Category {categoryName:$category})
  RETURN p.productName as product
  `;

const params = { category: "Dairy Products" };

const session = driver.session({ database: "neo4j" });

session
	.run(query, params)
	.then((result) => {
		result.records.forEach((record) => {
			console.log(record.get("product"));
		});
		session.close();
		driver.close();
	})
	.catch((error) => {
		console.error(error);
	});


# pip3 install neo4j-driver
# python3 example.py

from neo4j import GraphDatabase, basic_auth

driver = GraphDatabase.driver(
  "bolt://<HOST>:<BOLTPORT>", 
  auth=basic_auth("<USERNAME>", "<PASSWORD>"))

cypher_query = '''
MATCH (p:Product)-[:PART_OF]->(:Category)-[:PARENT*0..]->
(:Category {categoryName:$category})
RETURN p.productName as product
'''

with driver.session(database="neo4j") as session:
  results = session.read_transaction(
    lambda tx: tx.run(cypher_query,
      category="Dairy Products").data())

  for record in results:
    print(record['product'])

driver.close()

// go mod init main
// go run example.go
package main
import (
	"fmt"
	"github.com/neo4j/neo4j-go-driver/neo4j" //Go 1.8
)
func main() {
	s, err := runQuery("bolt://<HOST>:<BOLTPORT>", "<USERNAME>", "<PASSWORD>")
	if err != nil {
		panic(err)
	}
	fmt.Println(s)
}
func runQuery(uri, username, password string) ([]string, error) {
	configForNeo4j4 := func(conf *neo4j.Config) { conf.Encrypted = false }
	driver, err := neo4j.NewDriver(uri, neo4j.BasicAuth(username, password, ""), configForNeo4j4)
	if err != nil {
		return nil, err
	}
	defer driver.Close()
	sessionConfig := neo4j.SessionConfig{AccessMode: neo4j.AccessModeRead, DatabaseName: "neo4j"}
	session, err := driver.NewSession(sessionConfig)
	if err != nil {
		return nil, err
	}
	defer session.Close()
	results, err := session.ReadTransaction(func(transaction neo4j.Transaction) (interface{}, error) {
		result, err := transaction.Run(
			`
			MATCH (p:Product)-[:PART_OF]->(:Category)-[:PARENT*0..]->
			(:Category {categoryName:$category})
			RETURN p.productName as product
			`, map[string]interface{}{
				"category": "Dairy Products",
			})
		if err != nil {
			return nil, err
		}
		var arr []string
		for result.Next() {
			value, found := result.Record().Get("product")
			if found {
			  arr = append(arr, value.(string))
			}
		}
		if err = result.Err(); err != nil {
			return nil, err
		}
		return arr, nil
	})
	if err != nil {
		return nil, err
	}
	return results.([]string), err
}

// install dotnet core on your system
// dotnet new console -o .
// dotnet add package Neo4j.Driver
// paste in this code into Program.cs
// dotnet run

using System;
using System.Collections.Generic;
using System.Text;
using System.Threading.Tasks;
using Neo4j.Driver;
  
namespace dotnet {
  class Example {
  static async Task Main() {
    var driver = GraphDatabase.Driver("bolt://<HOST>:<BOLTPORT>", 
                    AuthTokens.Basic("<USERNAME>", "<PASSWORD>"));

    var cypherQuery =
      @"
      MATCH (p:Product)-[:PART_OF]->(:Category)-[:PARENT*0..]->
      (:Category {categoryName:$category})
      RETURN p.productName as product
      ";

    var session = driver.AsyncSession(o => o.WithDatabase("neo4j"));
    var result = await session.ReadTransactionAsync(async tx => {
      var r = await tx.RunAsync(cypherQuery, 
              new { category="Dairy Products"});
      return await r.ToListAsync();
    });

    await session?.CloseAsync();
    foreach (var row in result)
      Console.WriteLine(row["product"].As<string>());
	  
    }
  }
}

// Add your the driver dependency to your pom.xml build.gradle etc.
// Java Driver Dependency: http://search.maven.org/#artifactdetails|org.neo4j.driver|neo4j-java-driver|4.0.1|jar
// Reactive Streams http://search.maven.org/#artifactdetails|org.reactivestreams|reactive-streams|1.0.3|jar
// download jars into current directory
// java -cp "*" Example.java

import org.neo4j.driver.*;
import static org.neo4j.driver.Values.parameters;

public class Example {

  public static void main(String...args) {

    Driver driver = GraphDatabase.driver("bolt://<HOST>:<BOLTPORT>",
              AuthTokens.basic("<USERNAME>","<PASSWORD>"));

    try (Session session = driver.session(SessionConfig.forDatabase("neo4j"))) {

      String cypherQuery =
        "MATCH (p:Product)-[:PART_OF]->(:Category)-[:PARENT*0..]->" +
        "(:Category {categoryName:$category})" +
        "RETURN p.productName as product";

      var result = session.readTransaction(
        tx -> tx.run(cypherQuery, 
                parameters("category","Dairy Products"))
            .list());

      for (Record record : result) {
        System.out.println(record.get("product").asString());
      }
    }
    driver.close();
  }
}


HELPFUL TOOLS FOR MODERN APP & WEB DEVELOPMENT

Neo4j provides an array of tools, libraries, and frameworks to make development
faster and easier. Developer tools like Neo4j Desktop, Browser, and Sandbox make
it simple to learn and develop graph apps.

The new Neo4j GraphQL Library translates GraphQL queries into Cypher, making it
easier for GraphQL users to use Neo4j. It also streamlines integration of Neo4j
with React, Vue, and other open source frameworks.

NEO4J DESKTOP

For local database management
Download Desktop

GRAPHQL LIBRARY

For API driven modern applications
Learn More

GRANDSTACK.IO

To build apps with React, GraphQL and Apollo
Get Started

Ready to get started with Neo4j?


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