- A web or cluster of nodes that are linked together through their relationships
- A relationship between two objects.
- An object such as an employee
- Graph databases are more scalable, efficient, and functional than SQL databases.
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What is a graph?
Abstract data type, used to model data that contains objects. Nodes are connected by edges which record relationship between those objects. -
What is an edge?
Edge contains relationship between nodes, like foreign key in SQL. -
What is a vertex?
A vertex represent data as an object including all itās attributes. -
Why would we want to use a graph database instead of a normal SQL database?
If itās needed to query complex relationships in deeper levels, it would be more efficient with graph dbs
- A graph is a specific data type containing objects and relationships
- An edge is a line in a graph modelling a relationship
- A vertex or node in a graph models an object
- Graph databases are more efficient than SQL databases for complex queries that are more than one level deep
3. What is a vertex?
Hey @Cromaz, hope you are ok.
The vertex(or vertices) represent data as an Entity or Object, with all his properties(attributes).
Check the image Graph database structure showing nodes and vertices
from the article provided in the assignment. (https://medium.com/@Kelsey.Whitehead/introduction-to-graph-databases-1f2480ede21c)
If you have any more questions, please let us know so we can help you!
Carlos Z.
- a graph is an abstract data type typically used to model data that contains objects and some sort of relationship between those objects.
- Edges represent the the relationships between the objects in the graph.
- Vertices represent the objects themselves in the graph.
- The ability to directly state the relationship between two objects in the database gives you an advantage over traditional relational databases. This makes a large database with many relationships much simpler.
- What is a graph? a method used to organize data that contains points of data (nodes) that relate to one another.
- What is an edge? A part of the graph that represents/stores the relationship between the nodes (data points).
- What is a vertex? the is the node that contains that data (the part of the graph that does not represent the relationship).
- Why would we want to use a graph database instead of a normal SQL database? identifying relationships that are further apart, as well as being able to store information on the type of relationship that exists between two data points.
- An abstract data type typically used to model data that contains objects, and some sort of relationship between those objects.
- These are use to describe the relationships between the objects contained in the database.
- It is used to represent an entity object, and is comparable to a row in a relational database.
- The ability to directly state the relationship between two objects within a graph database. It may also offer increased efficiency for searches in some cases.
Thanks so much Carlos! In the next video lecture it is explained by Ivan. And thanks for your explanation - in this combo I could understand it and get an idea of what it is!
Have a nice day!
Thomas
- a graph is an abstract data type
- An Edge is information between each node describing the relationships between the objects
- Vertices or Nodes are the objects in the database
- Graph databases are better when more than one or a couple of layers of questions need to be asked of the data.
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What is a graph?
It is a graphical way to represent data, where you can show objects (nodes or vertex) and their relationships (edges or lines) -
What is an edge?
An edge is a relationship between nodes. In the database, the edge will also store the properties of this relationship. -
What is a vertex?
A vertex, or node, is an object. In terms of the database, the vertex will store all the properties of an object. -
Why would we want to use a graph database instead of a normal SQL database?
Because it has better performance when querying over relationships, and with queries that have more than one level depth. For instance, in LinkedIn it says that you have a relationship in the 1st, 2nd, 3rd or further degree with somebody. 1st level relationships are easy to find in LinkedIn because they are stored as relationships. If you want to find the list of people that has a 2nd or 3rd degree relationship with you, you should run as much queries as the degree you want to find, or join the relationship table with itself that many times. But, finding the degree of relationship between two users is one of the most difficult tasks in SQL, as you canāt navigate through relationships until you found the other user.
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Graph is a database type that uses abstract data type to model the data that contains objects
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An edge is used to link the objects, the relationships between objects
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A vertex is a node, it is where the data/objects are stored
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It will be used for very complex and large sets of relationships, it will provide a more efficient search
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A graph database uses its nodes to contain data. Typically a node is used to represent an entity object, and is comparable to a row in a relational database.
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Relationships
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Nodes with values in.
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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
- A graph is an abstract data type modelling data that contains objects (nodes or vertices), and the relationships between the objects (lines or edges).
- An edge is the relationship between the nodes or vertices.
- A vertex is an object within a database. It also contains the properties of that node such as ID numbers, location, etcā¦
- Graph data types offer the ability to directly state the relationship between two nodes or vertices, especially databases that contain large amounts of relationships within the database. Graphs also offer increased efficiency for searches, in particular cases that are multi-level.
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What is a graph?
-> āa type of databaseā -
What is an edge?
-> The link between entities, the relation in a relational database. -
What is a vertex?
-> the entities, the tables in a relational database. -
Why would we want to use a graph database instead of a normal SQL database?
-> To obtain efficiently the result of some complex relational queries.
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What is a graph?
An abstract database that uses nodes containing data with lines showing relationships. -
What is an edge?
An edge describes the relationship between 2 nodes. -
What is a vertex?
This is a node or single object. -
Why would we want to use a graph database instead of a normal SQL database?
To increase efficiency for searches deeper than one level of relationships.
- 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?
These are used to describe the relationships between the objects contained in the database. Comparable to a foreign key in a relational database.
3. What is a vertex?
Vertices are objects such as people or artifacts (generally have properties).
4. Why would we want to use a graph database instead of a normal SQL database?
Relationships are fundamental to how objects interact with one another and their environment. Graph databases are the perfect representation for those that contain large amounts of relationships between objects.
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).
What is an edge?
Graph databases also contain edges between each node. 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.
An edge represents a relationship between entities like friendsWith, actedIn, etc.
An edge might have a direction indicated by an arrow showing the direction of the relation.
What is a vertex?
A vertex represents an entity in the graph like person, movie, animal, etc.
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 systems for certain datasets. Namely, those that contain a large amount of relationships within the data.
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What is a graph?
An abstract database using nodes and lines. -
What is an edge?
An edge describes the relationship between nodes. -
What is a vertex?
Like the node in this system. -
Why would we want to use a graph database instead of a normal SQL database?
Because youāre more efficient due to storing a lot of relations within the data and being able to perform multi-level searches.
[quote=āivan, post:1, topic:6434ā]
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What is a graph?
Presentation of the objects as nodes and the relationship between each other as lines and edges -
What is an edge?
relationship between nodes -
What is a vertex?
Like a row in a relationship database, it represents the details of the subject -
Why would we want to use a graph database instead of a normal SQL database?
When you want to see the whole web of relationships between nodes, the graph will be more accessible for this information
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What is a graph?
A graph database is a information tool where clients can extract indirect connections between different data points. This type of database is better used for generating questions and understanding the connections between certain things, rather than explicitly answering queries -
What is an edge?
An edge is the type of relationship between two nodes in a graph database. -
What is a vertex?
Another name for a node, a vertex is an object in the graph database (such as a person, place or thing) that interacts (via edges) with other vertices in the graph database. -
Why would we want to use a graph database instead of a normal SQL database?
To understand larger connections between different nodes. For example, a graph database could be used to come up with new product marketing campaigns by showing user interests relevant to your product.