Graph Databases - Reading Assignment

[ChefAbate]

1. A graph is a type of data structure that contains nodes or vertices (nouns) and the relationship between the lines and edges (verbs).
2. An edge is used to describe the relationship between to data entries within the database (verb)
3. A vertex or node are objects, people or artifacts that have properties (noun)
4. Graph databases are great for applications that have large amounts of data that is relational to one another, it is much more efficient in searching for requested data.

[Crypto_Daddy]

1. an abstract data type used used to model data

2. It can be compared to columns and rows in a relational system

3. An object within graph or a Node

4. The improve efficiency for certain situations

[iplotnik]

1. A graph is a structure for semantic queries with nodes, edges, and properties to represent and store data.

2. An edge are the lines that connect nodes to other nodes representing the relationship between them.

3. Vertex is a node of a graph connected by edges.

4. A graph database stores the relationships between objects in a native way making queries about relationships fast and easy. It also allows to include different kinds of objects and different kinds of relationships in the graph.

[CryptoQangroo]

1. What is a graph?
   A. 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. Edge is described as the relationship between the objects contained in the database, like foreign key column of row in a RDBMS.
3. What is a vertex?
   A. Vertex is a node that 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?
   A. The ability to directly state the relationship between two objects within a graph database provides a strong advantage over SQL for certain datasets.

[Naz]

1. A graph DB is a data model made of vertices (that contains items, attributes, etc.) and edges (the relationship between the vertices).

2. An edge represents the relationship between the vertices (plural of vertex).

3. A vertex is an object/node that contain data (items, attributes, etc.) within the graph DB.

4. Because a graph DB is way better and efficient to query then a normal SQL DB when the datasets contain large amounts of data and complex relationships between them.

[Sebastian_Sporea]

1. What is a graph?
   A graph is an abstract data type used to model data that contains objects and the relationships between them.
2. What is an edge?
   Edges are used to describe the relationships between the objects contained in a database, similar to foreign keys in RDBMS
3. What is a vertex?
   A vertex is basically an object and it can also be called a node.
4. Why would we want to use a graph database instead of a normal SQL database?
   Graph databases are more handy when there are multiple relationships between the objects. It is easier to search for information in this database rather than in the SQL one.

[TudorGadea]

1.An abstract data type normally 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. They can be compared to the foreign key column of a row in a RDBMS.
3.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.It has 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.

[Crista]

1. A graph is an abstract data type that conveys the relationships between its objects.
2. An edge (or line) in the graph data system is a representation of the relationship between two objects.
3. A vertex (or node) is an entity on a graph, comparable to a row in a relational database.
4. Graph databases can offer more searching efficiency in some cases compared to normal SQL databases, including data searches that are more than one level deep.

[manted]

1. What is a graph?
   It 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?
   These are use to describe the relationships between the objects contained in the database.

3. What is a vertex?
   It is a single object, that is part of the graph. It is also known as Node and it is connected by edges.

4. Why would we want to use a graph database instead of a normal SQL database?
   The ability to directly state the relationship between two objects within a graph database provides a strong advantage over relational database

[sto]

Graph is a set of vertex and edge combined and forming a different relationship

Edge gives the relationship between vertex

Vertex is node with info in graph datab.

If relations are of second kind (even ….n kind)

[ANV81]

1. What is a graph?
   A database graph is an abstract data type used to model data that contains objects relationships between those objects.

2. What is an edge?
   A database edge is sort of like the foreign key in a database. It’s used to describe relationships between its objects.

3. What is a vertex?
   It’s sort of like the row in a RDBMS. It is also called the node in a graph database.

4. Why would we want to use a graph database instead of a normal SQL database?
   If you are working with a large, multi-level relationship data, it is more efficient.

[laserkavajen]

What is a graph?

It is a database designed to treat the relationships between data as equally important to the data itself.

What is an edge?

Edge describes the relationship between the vertex, edge can be compared to foreign key column of a row in RDBMS

What is a vertex?

The vertex represent entity object, vertex is comparable to row in relational database.

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

When the query in the relationship is complex and not efficient. With graph database you can query many efficient many-to-many relationship in a much faster way. Another situation when we want to use graph database is when relationships between data elements are more important.

[Ernesto]

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
2 are use to describe the relationships between the objects contained in the database
3 Vertex is a node with its pros of in a SQL database.
4/ Graph Database search in a very easy way for Data and see the correlation of between the data and make it more understandable.

[JeremyH]

article https://medium.com/@Kelsey.Whitehead/introduction-to-graph-databases-1f2480ede21c

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

2. What is an edge?
   – Edges are relationships between the nodes or objects of a graph database and in some cases they are like the foreign key column of a row in a RDBMS

3. What is a vertex?
   – A vertex is another name for a node or object of a graph database.

4. Why would we want to use a graph database instead of a normal SQL database?
   – Unlike a RDBMS, a graph database provides the ability to directly state relationship between two objects especially datasets that contain a large amount of relationships within the data. Graphs may also provide increased efficiency in searches over RDBMS

[Tiffany]

1. 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. a relationship between objects within the graph

3. Objects

4. large amounts of querying that allow for going one (or several) layers deep.

[CocoaCrypto]

A graph is an abstract data type that models data containing objects, which can be referred to as vertices. The edge represents a relationship between the objects, much like an intermediary table might connect “users” to “groups” to show relationships in an SQL database.

The words object, node, and vertex can be used interchangeably when talking about this type of database as its nodes represent objects.

Graph databases work better than SQL for datasets that contain a large amount of relationships within the data, and can offer increased efficiency for searches containing several levels of enquiry.

[martin-vienna]

1. What is a graph?

a graph is a visualisation of data (stored in objects) via connections and relationships among the objects.
graphs consist of NODES (also called VERTICALS), which are the objects that contain the data and EDGES (also called LINES) lines which express the relationships among the nodes.

2. What is an edge?

Edges (also called lines) visualise and define the relationships between the nodes (verticals)

3. What is a vertex?

its the node (object) which contains the data

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

it enables the storage of more complex relationships among data sets (objects)

[Raf.PV7]

1. What is a graph?

A graph is an abstract data type typically used to model data that contains objects (Nodes or vertices), and some sort of relationship between them (lines or edges).

2. What is an edge?

They are used to describe the relationship between objects contained in the database (compared to the foreign key column of a row in a RDBMS).

3. What is a vertex?

Vertex is a node that contains data in the graph database.

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

In some cases, it would make a search more efficient by easily displaying all the information related to a certain person, like in the example all the colleagues working with her, even when some of them belong to a different department.

[studiomax]

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

2. An edge is a relationship between two nodes in a graph.

3. A vertex or node is an object in the graph.

4. A graph database would be better than a normal SQL database for applications with a large amount of relationships between the data.

[Sins]

1. Is a data type that is made of nodes or vertices and the lines or edges which are used as relationships between those nodes.
2. An edge is used to describe a relationship between nodes or vertices.
3. Vertex or Node is used to contain data in graph database. It is what a row is in relational database.
4. Biggest advantage over SQL database is that graph database can directly state relationship between two objects, especially if there is a large amount of relationships between objects.