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英文字典中文字典相关资料:


  • Graph database - Wikipedia
    A graph database (GDB) is a database that uses graph structures for semantic queries with nodes, edges, and properties to represent and store data [1] A key concept of the system is the graph (or edge or relationship)
  • What is a graph database - Getting Started
    A Neo4j graph database stores data as nodes, relationships, and properties instead of in tables or documents This means you can organize your data in a similar way as when sketching ideas on a whiteboard
  • What is A Graph Database? A Beginners Guide - DataCamp
    A graph database is a specialized, single-purpose platform used to create and manipulate data of an associative and contextual nature The graph itself contains nodes, edges, and properties that come together to allow users to represent and store data in a way that relational databases aren’t equipped to do
  • What Is a Graph Database? - Graph DB Explained - AWS
    A graph database is a systematic collection of data that emphasizes the relationships between the different data entities The NoSQL database uses mathematical graph theory to show data connections Unlike relational store data as a network of entities and relationships As a result, are more suited for modeling real-world scenarios
  • Top 10 Open Source Graph Databases in 2025 - GeeksforGeeks
    Let’s look at the 10 best open-source graph databases that businesses could use in 2025: 1 Neo4j One of the most popular and oldest open-source graph databases with over 12,000 stars on GitHub, Neo4j is a native graph database as it implements a graph model right to the storage level It provides runtime failover, cluster support, and ACID
  • What is a Graph Database? Complete Overview - Graphable
    Simply put, a graph database is a database that is designed so that connections between the data are considered as important as the data itself It also stores the data flexibly in such a way that it is not restricted to a rigid existing model
  • What Is a Graph Database? - Oracle
    There are two popular models of graph databases: property graphs and RDF graphs The property graph focuses on analytics and querying, while the RDF graph emphasizes data integration Both types of graphs consist of a collection of points (vertices) and the connections between those points (edges) But there are differences as well





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