- A graph is an abstract data type typically used to model data that contains objects (referred to as nodes or vertices), and some sort of relationship between those objects (lines or edges)
- An edge is a relationship between vertices in a graph
- A vertex is an object in a graph, also known as a node
- When there are a lot more relationships between objects and queries that use more complex relationship criteria
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A graph is an abstract data type used to model data containing objects and the relationships between those objects.
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An edge in a graph represents a relationship between two nodes or vertices.
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A vertex (or node) in a graph represents an object or entity.
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Graph databases are preferred over normal SQL databases for efficiently handling datasets with complex relationships, offering a direct representation of relationships between objects and increased search efficiency for multi-level queries.
1,) A graph is a form of database where relationships among data objects are considered of primary importance, yet not formally structured as in a relational database.
2.) An edge is a relationship in a graph database. It runs between specific data object instances.
3.) A vertex is a node or data object that stores all the relevant data about a noun the graph database is currently modeling.
4.) A graph database should be used in a data model that both includes complex systems of relationships and is anticipated to be deeply queried often. The graph architecture in this configuration would save relation indexing overhead as each edge is independently stored and accessable.
[quote=“ivan, post:1, topic:6434”]
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What is a graph?
Abstract data ype used to model the relationship (edges or lines) between objects (nodes (or vertices) -
What is an edge?
Or node, is the object we are defining. It is the row in a relational database. the edge also contains the property of that object and those are the columns in a relational databse -
What is a vertex?
Or line, are the relationships between the nodes. those are the foreign keys in a relational database -
Why would we want to use a graph database instead of a normal SQL database?
Graphs are more powerful at designing network like structures and complex relationships. they can make things such as recommendation engines much faster and powerful, by connecting for example my past destinations with other similar to it, or places friends of mine went to and enjoyed
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What is a graph?
Abstract data ype used to model the relationship (edges or lines) between objects (nodes (or vertices) -
What is an edge?
Or node, is the object we are defining. It is the row in a relational database. the edge also contains the property of that object and those are the columns in a relational databse -
What is a vertex?
Or line, are the relationships between the nodes. those are the foreign keys in a relational database -
Why would we want to use a graph database instead of a normal SQL database?
Graphs are more powerful at designing network like structures and complex relationships. they can make things such as recommendation engines much faster and powerful, by connecting for example my past destinations with other similar to it, or places friends of mine went to and
1- a graph is an abstract data type typically used to model data that contains objects (referred to as nodes or vertices), and some sort of relationship between those objects (lines or edges).
2- use to describe the relationships between the objects contained in the database, and in most they can be compared to the foreign key column of a row in a RDBMS
3- a node is used to represent an entity object, and is comparable to a row in a relational database. Each node also contains the properties of that entity
4- The ability to directly state the relationship between two objects within a graph database and efficiency when we needs to perform a search that is more than one level deep