Neo4j, the Graph Database & Analytics leader, helps organizations find hidden relationships and patterns across billions of data connections deeply, easily, and quickly. Customers leverage the structure of their connected data to reveal new ways of solving their most pressing business problems, with Neo4j’s full graph stack and a vibrant community of developers, data scientists, and architects across hundreds of Fortune 500 companies.

Products

Neo4j Graph database

Neo4j is an open-source, NoSQL, native graph database that provides an ACID-compliant transactional backend for your applications, Neo4j Graph Database, is the most trusted graph database for applications. A Neo4j graph database is a high-speed database with unbounded scalability, security & data integrity for mission-critical platforms. Neo4j Graph database is offered in the community edition & Commercial enterprise edition. 

Neo4j Aura DB, is same as Neo4j Graph database but fully hosted & managed by Neo4j.

Neo4j Graph data Science

Graph Data Science is an analytics and machine learning (ML) solution that analyzes relationships in data to improve predictions and discover insights. It plugs into data ecosystems so data science teams can get more projects into production and share business insights quickly. Graph structure makes it possible to explore billions of data points in seconds and identify hidden relationships that help improve predictions. Neo4j Data science library of graph algorithms, ML modeling, and visualizations help your teams answer questions like what's important, what's unusual, and what's next.

Unique features of Neo4j

  • Native Graph Processing: Neo4j is designed to process and manage data in the form of graphs. This allows it to perform complex queries and traversals quickly, making it an ideal choice for applications that require highly connected data.
  • ACID Transactions: Neo4j ensures data consistency and reliability by providing Atomic, Consistent, Isolated, and Durable (ACID) transactions. This means that data is always consistent, even in the face of hardware or software failures.
  • Cypher Query Language: Neo4j provides a query language called Cypher, which is specifically designed for graph data. This allows developers to write complex queries and traversals in a simple and intuitive way, making it easier to work with graph data.
  • Scalability: Neo4j is highly scalable and can handle large datasets with ease. It can also be deployed in a distributed architecture, allowing it to handle even larger workloads.
  • Flexibility: Neo4j is a flexible database management system that can be used in a variety of applications, including social networks, recommendation engines, fraud detection, and more.
  • Built-in Analytics: Neo4j provides built-in analytics capabilities, including pathfinding algorithms, community detection, centrality algorithms, and more. This allows users to gain insights into their data quickly and easily.
  • Property Graph Model: Neo4j's property graph model allows users to represent data as nodes and relationships, with properties associated with both. This flexible and expressive data model enables users to store and query data in a way that reflects the real-world relationships between entities.
  • Built-in -Graph Algorithms: Neo4j provides a wide range of built-in graph algorithms that enable users to perform complex graph analytics tasks, such as centrality analysis, community detection, and pathfinding.
  • Built-in Visualization: Neo4j provides several tools for visualizing graph data, including built-in visualization capabilities and integrations with third-party visualization tools.