Graph Databases - Reading Assignment

[emiliano_sosa]

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. An edge is a relationship between objects(reffered as nodes or verticles).
   3.Verticles are objects.

3. If you need a database management system that can contain a large amount of relationships within data , that can directly state the relationship between two objects you would want to use a graph databse management system.

[CryptoUnicorns]

1. A graph is an abstract data type used to model data and the relationships between their objects.

2. An edge is a description of relationships between objects contained in nodes in a DB.
   Comparable to a foreign column of a row in a RDBMS.

3. A vertex is a graph DB node connected over edges to another.

4. A graph DB makes sense when:

• we want to query in more than 1 level deep searches.
• there is a large amount of relationships within data and we want to directly state the relationship between 2 objects within a graph DB.

[ble4h]

1. What is a graph?
   A graph is an abstract data type used to model data to describes nodes (or vertices), and some the relationship (lines or edges) between nodes.

2. What is an edge?
   An edge connects nodes (or vertices) to one another and represents the relationship between nodes in the database.

3. What is a vertex?
   A vertex is a node. A node represents an entity object akin to a “row” in SQL.

4. Why would we want to use a graph database instead of a normal SQL database?
   The graph database increases the efficiency of searches in cases where there are a large amounts of relationships within the data.

[LUKEDUKE]

1 a collection of nodes or vertices with random connections
2 A connection between to nodes or vertices
3 The same as a node, a collection of data.
4 You can search faster in the database and there are many relationships possible within the database.

[GINTS]

Graph Databases:

1. What is a graph?
   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. What is an edge?
   Edge describes relationship between Objects in graph data base.

3. What is a vertex?
   A vertex is a corner point of a polygon, polyhedron, or other higher-dimensional polytope, formed by the intersection of edges, faces or facets of the object.

4. Why would we want to use a graph database instead of a normal SQL database?
   Graph data base can work more efficiently in certain situations. For example if a business needs to perform a search that is more than one level deep.

G.

[FunCoupons]

1. A graph is an abstract data type used to model data that contains nodes or vertices and some specific relationship between those objects.

2. An edge is used to describe the relationship between the objects contained in the database.

3. Vertices are objects such as people or artifacts.

4. Graph databases are perfect for exemplifying a data set that contains large amounts of relationships between objects.

[mathiasstudart]

1. What is a graph?

It is an abstract data that contains objects (nodes and vertices) and some relationships between these objects (lines or edges).

2. What is an edge?

Edges are relationships between nodes on Graphs.

3. What is a vertex?

It is an object part of a graph database.

4. Why would we want to use a graph database instead of a normal SQL database?

Larger amount of relationships, more efficiency for searches,.

[Boondre]

[quote=“ivan, post:1, topic:6434”]

• What is a graph?
  A graph database uses its nodes to contain data.
• What is an edge?
  Edges are use to describe the relationships between the objects contained in the database
• What is a vertex?
  Typically a node is used to represent an entity object, and is comparable to a row in a relational database.
• Why would we want to use a graph database instead of a normal SQL database?
  The best example of this is when a business needs to perform a search that is more than one level deep

[andyB]

1. What is a graph?
   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. What is an edge?
   An edge describes the relationships between the objects in the database, comparable to the foreign key column in a relational database.
3. What is a vertex?
   A vertex is a node used to represent an entity object, can be compared to a row in a relational database.
4. Why would we want to use a graph database instead of a normal SQL database?
   May offer increased efficiency in searches. It has the ability to directly state the relationship between two objects, this can be an advantage for datasets that contain a large amount of relationships within the data.

[Karima]

1. It is a model that has objects (nodes or vertices) which are connected by lines or edges
2. The relationships between nodes.
3. Also known as a node
4. To search more easily the relationships within the data

[Fluffpinkkitten]

a graph is an abstract data type typically used to model data that contains objects or relationships

vertex are nodes or objects

The edges show the relationship between nodes

A graph database searches large numbers of relationships easily

[iceman12276]

1. What is a graph?
   Is a abstract data type that uses nodes/vertices and lines/edges to represent the relational data between entities.

2. What is an edge?
   It is the equivalent of a RDMS in a relational database

3. What is a vertex?
   A vertex represent the object/entity or in relational databases the record or the row.

4. Why would we want to use a graph database instead of a normal SQL database?
   For higher efficiency when it comes to searching up data and the ability to directly state the relationship between 2 objects.

[Pats]

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. An edge is use to describe the relationships between the objects contained in the database.
3. It functions the same as a Node.
4. Offer increased efficiency for searches in some cases. The best example of this is when a business needs to perform a search that is more than one level deep.

[Rohit_Kamble]

1. What is a graph?
   A Graph is an abstract data type typically used to model data that contains object and each object is linked with some relationship.

2. What is an edge?
   An edge is a relationship between two nodes (objects)

3. What is a vertex?
   An object that contains data is called nodes or vertex

4. Why would we want to use a graph database instead of a normal SQL database?
   When querying a complex data to find the data that is more than one level deep.

[Rafael21]

• What is a graph?
  It is a type of database that organizes data as nodes and vertices with lines denoting their relationships.

• What is an edge?
  This is the relationship between two connected nodes.

• What is a vertex?
  This is the node that represents an object in the database and is connected to other nodes via edges.

• Why would we want to use a graph database instead of a normal SQL database?
  Can be more efficient to extract relational data than SQL.

[Jackchap]

A graph is a type of database that contains relationships between objects, usually for data that has many relationships

An edge is like a foreign key, with relationships between nodes

A vertex is the node of data

A graph database is useful for large datasets where you need to look at relationships multiple layers deep

[JoshB]

1. a graph is an abstract data type typically used to model data that contains objects
2. These are used to describe the relationships between the objects contained in the database
3. an abstract data type typically used to model data that contains objects
4. For searching information that has more then one layer to it

[Renz]

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. An edge is used to describe the relationship between the objects contained in the database.

3. A vertex can be seen as an entry of data.

4. The ability to directly state the relationship between two objects within a graph database provides a strong advantage over relational database systems for certain datasets. Namely, those that contain a large amount of relationships within the data.

[kengin2013]

1. What is a graph?
   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. What is an edge?
   Edges describe the relationships between the objects (entities, items) contained in the database
3. What is a vertex?
   Also called a node, represent an entity (item) object
4. Why would we want to use a graph database instead of a normal SQL database?
   This structure allows for a database that can depict complex relationships between unrelated data sets, without rebuilding JOINs. Whereas relational databases store highly-structured data in tables with pre-determinations, graph databases can map multiple types of relational and complex data.

[Julian97]

1. What is a graph?
   An abstract data type used to model data often containing objects and the relationships between these objects.

2. What is an edge?
   Edges describe the relationships between objects in a DB, comparable to the foreign key in a relational DB.

3. What is a vertex?
   Another term for an object in a DB, comparable to a row in a RDBMS

4. Why would we want to use a graph database instead of a normal SQL database?
   To search for more complex relationships (such as finding all employees working in the same department(s) as a specific employee) in a single query (which would require multiple queries in a RDBMS)