Neo4j

Neo4j is a powerful graph database management system that stores data in the form of nodes and relationships, distinguishing it from traditional relational databases that utilize tables. Its native graph storage and scalable architecture optimize performance, particularly for complex queries involving relationships. Neo4j is ACID compliant, ensuring data integrity and reliability. It employs the Cypher query language, which is similar to SQL, allowing users to perform both simple and complex queries efficiently. With a user-friendly interface and a community edition available for free, Neo4j is an excellent choice for developers and data scientists looking to analyze interconnected data.

Neo4j

Full Stack Python

Neo4j is a graph NoSQL database that can be used to persist data in Python applications.

Intro to Neo4j: A Graph Database

Towards Data Science

Learn about the graph database Neo4j and write practice queries Image by Author What is Neo4j? Neo4j is a graph database that stores data in the form of nodes and relationships. This is different fro...

Neo4j for Bollywood

Towards Data Science

Tired of all those “JOIN” in SQL? Did you have a headache every time you need to modify a schema in a relational database? If either answer is “Yes”, then you should give graph database such as Neo4j…...

Getting started with neo4j in 10 minutes

Towards Data Science

Before diving into the code, let’s first understand what is neo4j and why it’s important to know this technology. To put it in a simple way, neo4j is the mySQL of the graph databases. It provides a…

Neo4j: Friends Edition

Analytics Vidhya

Creating a simple graph database using Neo4j in less than 10 minutes.

Supercharged Data Science with LynxKite on Neo4j data

Towards Data Science

If you have a Neo4j database, then you’ve already completed a few important steps in your graph journey: you know how you want to model (some aspects of) your business as a graph, probably you are…

Building a graph analytics pipeline in Neo4j to explore the transport system in Rome

Towards Data Science

I am trying to get back into writing mode and post a couple of fresh blog posts every month. There are a lot of cool new features in Neo4j graph algorithms that I haven’t yet written about, so I will…...

Neo4j & DGL — a seamless integration

Towards Data Science

The release of the Neo4j GDS library version 1.5, and the build-in machine learning models, has now given the Data Scientist that needs to perform a machine learning task on any graph in Neo4j two…

Getting Started: Graph Database | Neo4j

Towards Data Science

Image by author: Complex relationship graph visualisation (neo4j Dashboard) Traditionally various SQL-based databases, also known as Relational Databases Management Systems (RDBMS) like MySQL, SQLite,...

Community detection of the countries of the world with Neo4j Graph Data Science

Towards Data Science

While I was waiting for my sourdough to rise, I thought, the best way to spend my time is to perform a network analysis with the Neo4j Graph data science library. Well, maybe also try to draw an…

Building a simple recommendation engine in Neo4j

Towards Data Science

Let’s build a simple recommendation engine with plain Cypher Graph databases like Neo4j are an excellent tool for creating recommendation engines. They allow us to examine a large context of a data p...

Presenting multiple node label support and graph mutability features of the Neo4j Graph Data…

Towards Data Science

Just recently, the v1.1.0 version of the Neo4j Graph Data Science was released. I decided to take a short break from watching the Joy of Painting by Bob Ross, which I highly recommend, and inspect…