In computing, a graph database (GDB) is a database which utilises graph structures for semantic queries with nodes, edges, and properties to represent and store data. The graph related data items in the store to a collection of nodes and edges, where edges are representing the relationships across the nodes. Graph databases are a kind of NoSQL database, built to address the limitations of relational databases.
In computing, a graph database (GDB) is a database which utilises graph structures for semantic queries with nodes, edges, and properties to represent and store data. The graph related data items in the store to a collection of nodes and edges, where edges are representing the relationships across the nodes. Graph databases are a kind of NoSQL database, built to address the limitations of relational databases. While the graph model clearly lays out the dependencies between nodes of data, the relational model and other NoSQL database models link the data by implicit connections.
The deep learning and knowledge graph technologies have been developing rapidly in recent years. Find out more about graph databases.
In this newsletter, see different material on graph databases including a key graph database technology, cutting edge research, and more!Parts of the world are still in lockdown, while others are returning to some semblance of normalcy.
In this newsletter, see different material on graph databases including a key graph database technology, cutting edge research, and more! Parts of the world are still in lockdown, while others are returning to some semblance of normalcy.
In this article, take a look at data migration from JanusGraph to Nebula Graph. Speaking of graph data processing, we have had experience in using various graph databases. In the beginning, we used the stand-alone edition of AgensGraph. Later, due to its performance limitations, we switched to JanusGraph, a distributed graph database.
In this article, take a look at how indexes work in Nebula Graph and see core concepts to understand them.