Graph Databases - Reading Assignment

[Murisoja]

@ivan

Welcome to the discussion about this reading assignment.

Leave your answers to the questions below in this thread. If you have any questions or you want to discuss something connected to the assignment feel free to do it in this thread as well, but please everything to the topic.

1. What is a graph?
2. What is an edge?
3. What is a vertex?
4. Why would we want to use a graph database instead of a normal SQL database?

1. a graph is an abstract data type typically used to model data that contains objects
2. relationships between the objects in the data
3. objects
4. some use cases graph database reveals more relationships in the data

[Monarcha]

1. A graph is a type of database that uses nodes (fields) to contain data and as points of relation
2. An edge is a relation between two nodes.
3. A vertex is another word used for a node
4. It certain cases, it is easier to query and find information through a graph database

[supertramp007]

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? They are use to describe the relationships between the objects contained in the database
3. What is a vertex? objects like people or artifacts
4. Why would we want to use a graph database instead of a normal SQL database? If the database contains a large amount of relationships within the data

[Haseley]

1. A graph is a collection of Nodes or Vertices and their relationships.

2. An Edge is the stated relationship data on the line between nodes.

3. A vertex is one of a set of ordered pairs that define the shape of a line or polygon feature.
   It is also the same as an object or node which contains the salient properties of that entity.

4. A Graph DB would be the superior DB where the customer needs a consistent flow of relational data. Since the storage of a Graph DB includes most of it’s information in the relational form via edges which tie nodes and vertices, the instantaneous nature of queries would require very little computational effort.

[Crypto_PONY]

1. A graph is an abstract data type typically used to model data containing objects(nodes/vertices) and uses lines(edges) to establish some form of relationship between these objects.

2. An edge basically describes the relationships between objects in the database, more like a foreign key in RDBMS.

3. A vertex or node is an object that represents a piece of data comparable to a row in RDBMS.

4. If the data set is highly relational; a data set with complex multilayer relationships.

[zozaa]

1. A graph is a visual depiction of a process or data. It can show relationships, sequences, size, data flows, data fields any much more.

2. An edge in graph database is a relationship between objects or data in the graph.

3. A vertex (vertice) is the data object (e.g. a name/ place/ department/ process/ country/ product etc.)

4. A graph database can help to show and simplify for understanding or analysis a relationship between data entries. It helps to show the main idea of any data set relations or process and is easier to comprehend than a full data set with no visuals. A normal SQL database could be used together with a graph database if it helps the aim - analyze and understand data. A normal SQL database is necessary with large sets of data with complex relationships - a graph may not be able to depict that (or it would become impossible to percieve.

[MarkusJohansson]

1. What is a graph?
   a database wich use nodes relations between nodes to function.
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 vertex or node is used to represent an entity object and is comparable to a row in a relational database.
4. Why would we want to use a graph database instead of a normal SQL database?
   When the data and the associated relationships are best represented in graphical format.

[Aleksander]

1. Graph is an abstract data type, that contains objects, their attributes and relations.
   Data is represented by nodes (also called vertex’s) and relations are representaed by lines (aka edges)

2. Edge (line) is a representation of relation in a graph.

3. Vertex (node) is a represantation of entity’s information (compared to “rows” in RDBMS) and it’s attributes/ properties (compared to “columns” in RDBMS)

4. To make process faster in the situation of many relationships to work on.

[OmeOmy]

1: Graph is a database similar to rows, columns and foreign keys as in SQL but based the relationship between nodes.

2: An edge is very much like a foreign key in SQL. Its used to identify the relationship between the nodes.

3: Vertex is a node or object with a unique item similar to rows in SQL.

4: It is easier to search for more complex data. Graph offers a quicker and easier way of searching and finding the information SQL might struggle with. Graph searches the relationship between objects and items, not tables.

[Rob_Kammerer]

[quote=“ivan, post:1, topic:6434”]

• What is a graph?
  a graph is a structure made of vertices and edges, a visual presentation of relations

• What is an edge?
  an edge is used to show the relationship between objects

• What is a vertex?
  an object, a data input

• Why would we want to use a graph database instead of a normal SQL database?
  it shows very grafically the relationship between complex data, and increase efficiancy in searches in some cases

[Allistair_Trent]

• What is a graph?

A graph is a data structure consisting of a bunch of nodes where each node represents an object similar to a row in a relational database and stores properties about that object similar to columns. It also has edges that define the relationship between nodes.

• What is an edge?

Edges 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.

• What is a vertex?

A vertex is a single node or object within the database.

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

Graph databases are easier to search large amounts of data that contain complex relationships.

[Divij_Dawar]

1. A graph is a type of database used to store complex relationships.
2. An edge is a relationship that connects two nodes.
3. A vertex is also called a node and is used to store data.
4. A graph database can make it easier to query complex relationships.

[Acex13]

1. What is a graph?
   A graph is a data model that can be used to show complex, second-level relationships between objects/data.

2. What is an edge?
   The connection or relationship between vertices (nodes).

3. What is a vertex?
   A vertex (node) is visually represented by a circle in a graph model, which represents a data object (set of data fields, comparable to a row in a standard data table).

4. Why would we want to use a graph database instead of a normal SQL database?
   A graph database is more efficient in manipulating and querying data with complex, indirect relationships, such that it would be slower and more costly to use an SQL database to achieve the same objective.

[Restford]

1. An abstract data structure containing nodes and edges connecting the nodes. Different types exist such as directed (edges goes one way) and undirected (edges goes either way).

2. The connection between nodes, directed or undirected as given above. Can also be weighted and so on depending on what one wishes to represent.

3. An entity containing information regarding an object.

4. Looking into a multitude of relations, searching for higher order relations, directly stated relations.

[FunsyH]

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. Lines

3. Nodes

4. I can contain a large number of relationships compare to SQL. Also increase efficiency in some cases.

[rom]

1. What is a graph?
   A data model represented by Objects (nodes) and their relationships (edges)

2. What is an edge?
   The relationships between objects

3. What is a vertex?
   An object

4. Why would we want to use a graph database instead of a normal SQL database?
   To increase search efficiency in some cases where the amount of relationships between the data is huge.

[Zinar6]

1. Graph is an abstract databas to store large amount of relationship data.
2. An edge is the relationship between entities.
3. Vertex is an entity. Comparable to a row in relational database where it contains properties of an entity.
4. You’d want to use a graph database instead of an SQL database when handling large amount of relationship. Searching for certain data is more efficient by retracing backwards relationship of an entity object.

[Tito_RuizG]

1. Abstract data type

2. Relationships between vertex

3. A specific entity

4. Because it helps tp see information all shown at once. For example relationships. You can look for a specific entity and all its relations shwon on a graph database.

[CryptoKnight84]

1. A set of nodes (entities) and edges (connections or relations) between them.
2. An edge is a connection describing the relation of two nodes. If it has no other property it can be uni- or bi-directional.
3. Aka. Node. An entity in the graph. These are ‘things’ we wish to describe in the database.
4. The structure enables efficient queries more than 1 level deep. You can reduce what would take multiple nested queries in SQL to single query in a graph database. It is also easier to visualize and conceptionally formulate such questions with a graph data structure.

[c1cag1b3]

1. Graph is an abstract data type typically used to model data that contains objects, and some sort of relationship between those objects.
2. Those are some sort of foreign keys of RDBMS - they describe relationship between the objects contained in database.
3. These are nodes which represend an entity object.
4. When there is a large amount of relationships within the data and increased search efficiency is needed.