Neo4j Graph Database

Neo4j Graph Database

Discover Neo4j, the leading graph database platform designed for connected data, featuring AuraDB and advanced data analytics tools.

Location: Netherlands
Software Type: Web App
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Description

Neo4j is a powerful graph database platform that enables organizations to manage and analyze connected data efficiently. It offers a comprehensive suite of tools for developers and data scientists, including the Neo4j Graph Database, AuraDB, a fully-managed graph database as a service, and Graph Data Science for advanced analytics and modeling.
With Neo4j, users can leverage the power of graph technology for applications in various industries, including fraud detection and knowledge graphs. The platform supports a wide range of use cases by providing scalable, high-performance solutions tailored for complex data relationships.
Neo4j also emphasizes community engagement, offering resources such as GraphAcademy for free online courses, extensive documentation, and a vibrant community forum for knowledge sharing. The upcoming NODES 2024 Online Developer Conference highlights Neo4j's commitment to innovation and collaboration within the graph database ecosystem.
Whether you are a developer looking to build applications or a data scientist seeking to perform sophisticated analytics, Neo4j provides the tools and resources necessary for harnessing the potential of connected data.

Features

Graph Database

The core offering of Neo4j, this graph database allows for flexible and efficient storage and querying of connected data.

AuraDB

A fully-managed graph database as a service that simplifies deployment, scaling, and management of graph databases in the cloud.

Graph Data Science

A platform that provides tools for graph analytics and modeling, enabling users to extract insights from complex data connections.

Community Resources

Access to forums, documentation, and educational materials designed to support developers and data scientists in their projects.

Use Cases

Real-world applications of Neo4j in industries such as fraud detection, knowledge graphs, and more.

Tags

graph databasedata analyticscloud databasemachine learningdata science

Documentation & Support

  • Documentation
  • Support
  • Updates
  • Online Support