Neo4j Graph Data Platform
There are a variety of ways to interact with and use graph data in Neo4j. This section introduces the different products we provide at Neo4j to suit your diverse business and technology needs and shows you how to get started using them.
From our core product (the graph database) to visualization for business users, we provide a variety of opportunities to maximize your business and simplify your data.
Components of the Neo4j Graph Data Platform
Each of the elements listed below is designed to fill a business or technical need. We continue to improve the different perspectives from which to work with data, as well as capabilities of the products themselves.
More information about each of the components can be found on the Product page.
Reference documentation is at https://neo4j.com/docs/.
If you have any questions or issues, don’t hesitate to reach out to the Online Community!
Below you also find links to the homepages of the Neo4j products.
Neo4j Graph Database
Neo4j Graph Database — our core product, native graph database that is built to store and retrieve connected data.
Two editions — a Community Edition and an Enterprise Edition — are available.
There are many ways to deploy Neo4j today: on-premises server installation, self-hosted in the cloud with pre-built images, or by simply using Neo4j Aura — the zero-admin, always-on graph database for cloud developers.
All necessary documentation on how to install and maintain Neo4j can be found on the docs page.
Neo4j is a cloud-friendly database, with a variety of cloud deployment options readily available.
You are able to run Neo4j on public clouds like AWS, Azure and Google Cloud Platform (GCP).
Neo4j Aura is a fully managed, cloud-native graph service, giving developers and data scientists the most advanced graph tech tools. Neo4j Aura includes AuraDB and AuraDS.
Neo4j AuraDB is the fully automated, always-on, and scalable graph database as a service for developers building modern applications.
Find out more information in the official documentation.
Neo4j AuraDS makes it easy to run graph algorithms on Neo4j by integrating two main components:
Neo4j Database, where graph data are loaded and stored, and Cypher queries and all database operations (for example user management, query termination, etc.) are executed;
Graph Data Science, a software component installed in the Neo4j Database, whose main purpose is to run graph algorithms on in-memory projections of Neo4j Database data.
Neo4j AuraDS is available on GCP. See pricing page for details. You can find more details in the official documentation for AuraDS.
Neo4j Graph Data Science
Neo4j Graph Data Science (GDS) gives you access to more than 65 graph algorithms, which can be executed with Neo4j and optimized for enterprise workloads and pipelines. GDS helps you to get insights from big data in order to answer critical questions and improve predictions. GDS is the only connected data analysis platform that unifies the ML surface and graph database into a single workspace. This way, data scientists run algorithms and ML models without jumping between tools for ETL.
See documentation for the library for more details.
Neo4j provides a variety of tools that aim to make learning and development of graph applications easier.
The Neo4j Developer Tools page introduces the most important of them.
Neo4j Desktop — a local development environment for working with Neo4j, whether using local database instances or databases located on remote servers. Free download includes Neo4j Enterprise Edition license.
Neo4j Browser — online browser interface to query and view the data in the database. Basic visualization capabilities using Cypher query language.
Neo4j Operations Manager (NOM) — a UI-based tool that enables a database administrator to monitor, administer, and operate all of the Neo4j database management systems in an Enterprise Edition.
Video series: NOM Bytes introduces the product and provides some practical tips.
Documentation for Neo4j Ops Manager gives all information you may need for using it.
Data Importer — a no-code tool that allows you to load data from flat files (
.tsv) into your Neo4j databases, define a graph model, and map your data to it.
Neo4j Bloom — visualization tool for business users that does not require any code or programming skills to view and analyze data. Documentation is also available on our Docs page.
Cypher Query Language
Cypher is an open data query language, based on the openCypher initiative. It is the most established and intuitive query language to learn with property graphs. Cypher can be characterized by following:
easy to learn
visual and logical
secure, reliable, and data-rich
open and flexible
Connecting to Neo4j
It is important for us to provide a wide range of opportunities for integrating Neo4j with any working environment.
Connect to Neo4j — Officially supported drivers and Community drivers.
Neo4j Connectors — A set of connectors to integrate your regular working environment with Neo4j.
OGM — An Object Graph Mapping Library for Neo4j.
Neo4j Labs projects
Neo4j also has a variety of extension libraries and developer tools that can be added to existing products to enhance functionality. Some of these projects have been adopted by our Neo4j Labs team to help developers integrate with other innovative tools and libraries. You can find tutorials and other specific information for some of these on this page.
Arrows — a web-based data modeling tool.
APOC — the standard utility library of procedures and functions for Neo4j.
ETL Tool — migrate data from a relational database to Neo4j using an application and simple user interface.
NeoDash — an open-source, low-code dashboard builder for Neo4j. It lets you build an interactive dashboard with tables, graphs, bar charts, line charts, maps, and more.
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