Graph Databases - Reading Assignment

[William_M]

1. What is a graph? an abstract data type used to model data that contains objects
2. What is an edge? they describe the relationship between the objects
3. What is a vertex? objects with properties
4. Why would we want to use a graph database instead of a normal SQL database? when we have complex relationships between the objects.

[Steve_Studies_Crypto]

1. What is a graph?
   A graph is an abstract data type typically used to model data that contains objects and some sort of relationship between those objects.
2. What is an edge?
   A relational descriptor between objects.
3. What is a vertex?
   A node containing data.
4. Why would we want to use a graph database instead of a normal SQL database?
   They are more efficient when querying data that has multiple layers to it’s structure.

[TracyR]

1. A graph is an abstract database containing nodes or vertices and lines or edges. The node contain information and the edges signify the relationship between the nodes the edges connect. A graph data base is used when deeper relationship information is needed and simplifies the search process for that information.
2. An edge represents the relationship between 2 nodes.
3. a Vertex is another name for a node. It represents an entity in the graph.
4. Graph databases make deeper relationship searches easier and lowers the number of searches needed using an SQL database to find them.

[redwolf]

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. Edges are relationships between data points.
3. A node or data point.
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.

[Jones]

@michaelnsofwa

A graph is an abstract data type typically used to model data that contains objects

1.A graph is an abstract data type typically used to model data that contains objects
2. its connecting objects contained in the database
3. A Vertex or Node is used to represent an entity object, and is comparable to a row in a relational database.
4. is better represented and much more efficient to do searchs in some cases.

[lampacenter]

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?

Describes the relationships between the objects contained in the database.

3.What is a vertex?

Objects with properties usually people or items.

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

If we have many relationships and we want to find and use data faster.

[MBF-Lifestyle]

1: A graph is a abstract data type typically used to model data that contains objects like nodes or vertices, as well as some sort of relationship between those lines or edges.
2: An edge is the relationship between the objects in the database.
3: A vertex is a node connected by edges.
4: We use a graph database instead of a normal SQL database, since a graph database works faster, and the relationship between the objects is better.

[Jason.GvO]

1. What is a graph?
A graph DB is a abstract Data Type which contains Data in a form of nodes usually. These nodes represent mostly objects.

2. What is an edge?
Through the Structure of Graph Databases deeper relations (>1 Levl.) can be displayed easier.

3. What is a vertex?
It’s kind of a single node with certain attributes.

4. Why would we want to use a graph database instead of a normal SQL database?
If the Relationships are more complex, the Graph DB type can be useful for being more efficient in searching certain Information.

[Edvins]

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?
	○ An edge defines some sort of relationship between  objects in a graph. (like a foreign key)
3. What is a vertex?
	○ An object within a graph
4. Why would we want to use a graph database instead of a normal SQL database?
	○ They have the ability to directly state the relationship between two objects within a graph database

[Apex]

1. Abstract data types typically used to model data that contains object and the relationship between those object

2. Use to described the relashionship between the object contain int the database and in most they can compared to the foreign key column

3. A full entity, a node in another term

4. Directly state the relationship and it increased efficiency for research

[barney]

Reading Assignment: Graph Databases.

1. What is a graph?
   Graph is an abstract data type, typically used to model data that contain objects (referred to as nodes or vertices), and some sort of relationship between those objects (lines or edges).

2. What is an edge?
   It’s a description of relationship between the objects contained in the database.

3. What is a vertex?
   Vertex is an object (or a node) that contains data.

4. Why would we want to use a graph database instead of a normal SQL database?
   When we have database that contain a large amount of relationships, within the data.

[George21]

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. These are 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 Vertex or 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, which can be anything the business needs to keep track of (ID numbers, location, etc.)
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.
   Graph databases may also 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.

[Alanahn]

1. What is a graph?
   A graph represents a data structure of relationships between each node.

2. What is an edge?
   An edge is the relationship between nodes or vertices.

3. What is a vertex?
   A vertex or nodes represent a piece of information such as a person, place, or object

4. Why would we want to use a graph database instead of a normal SQL database?
   They offer efficiency in comparison to SQL databases. Useful when organising many relationships between data.

[T.O.B]

1. What is a graph?
   A graph is a model of the relationship between data.

2. What is an edge?
   An edge is the description of the relationship between the data in each node.

3. What is a vertex?
   A vertex is a node. These are where data on items is contained.

4. Why would we want to use a graph database instead of a normal SQL database?
   When an application requires searching and representing highly complex relationships.

[Dirk]

1) What is a graph?
An abstract data type normally used to model data that contains objects, and some sort of relationship between those objects.

2) What is an edge?
An edge is used to describe the relationship between the objects contained in the database. They can be compared to the foreign key column of a row in a RDBMS.

3) What is a vertex?
A single object that is part of the whole data model or Graph. They are also known as Nodes and are connected by edges.

4) Why would we want to use a graph database instead of a normal SQL database?
Directly stating relationships between two objects within a graph database provides a strong advantage over relational database systems for certain datasets.

[DLG]

1. A graph is a data type that is used to model data that contains objects (nodes / vertices) and some kind of relationship between them (lines or edges).

2. The edge in graph databases is like the foreign key in relationship databases such as SQL. It defines the type of relationship between two nodes.

3. It’s the object (node) that contains the data.

4. A graph database would be better if we have a lot of complicated relationships in a database because it directly states those relationships which is more efficient.

[HereWeGo]

1. 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. A component of a database used to describe the relationships between the objects contained in the database.
   In most, edges can be compared to the foreign key column of a row in a RDBMS (relational database management system).

3. A data object. Also referred to as node.

4. Because it is possible to directly state the relationship between two objects within a graph database which is very advantageous over SQL databases for those datasets that contain a large amount of relationships within the data.
   Graph databases may also offer increased efficiency for searches in some cases.

[vic21]

1. A graph is a database that shows relationships between nodes.
2. An edge describes the relationship between nodes.
3. A vertex is comparable to a row in relational databases and represents an object in the database.
4. It allows you to directly state the relationship between object s in a database.

[Ole_Zwarts]

1. a database that uses nodes (vertex) the relate data
2. they describe the relationship in the database
3. they are objects and have a relationship
4. it can be faster and more efficient then SQL

[Duende]

1.a graph is an abstract data type typically used to model data that contains objects
2.Edges are use to describe the relationships between the objects contained in the database.
3.is a different name of a node.
4. Is more efficient if you want to query complex relationships.