The document discusses graph databases, which are designed to handle large, structured or unstructured data from various sources. There are three main types: true graph databases, triple stores, and conventional databases with some graph capabilities. Graph databases use nodes connected by edges to intuitively store data entities and relationships between them. They are useful for interconnected data and allow fast querying of relationships.

1. DEPARTMENT OF COMPUTER SCIENCE & INFORMATION TECHNOLOGY
R.Ramya Devi
I msc(cs)

2.  The NoSQL ('not only SQL') graph database
is a technology for data management
designed to handle very large sets of
structured, semi-structured or unstructured
data. It helps organizations access, integrate
and analyze data from various sources, thus
helping them with their big data and social
media analytics.

3.  There are three types of graph database: true
graph databases, triple stores and
conventional databases that provide some
graphical capabilities. Triple stores are often
referred to as RDF databases.

4.  With the Graph Database model, Digital Asset
Management becomes intuitive. Graph
Database Example: Netflix uses Graph
Database for its Digital Asset
Management because it is a perfect way to
track which movies (assets) each viewer has
already watched, and which movies they are
allowed to watch (access management).

5. A Quick Look Into the Popular Graph Databases
Neo4j. Neo4j is the market leader in
GraphDB. ...
Orient DB. Orient DB is a high speed,
scalable, and reliable GraphDB. ...
Titan DB. ...
Apache Giraph.

6. This kind of data is stored in graph database
Graph data is kept in store files, each of which
contain data for a specific part of the graph,
such as nodes, relationships, labels and
properties.

7. A graph database is defined as a specialized,
single-purpose platform for creating and
manipulating graphs. Graphs contain nodes,
edges, and properties, all of which are used
to represent and store data in a way that
relational databases are not equipped to do.

8. While it's a general purpose
document database, MongoDB provides
graph and tree traversal capabilities with its
$graphLookup stage in the aggregation
pipeline.

9. The concept of a Graph Database is
based on the theory of graphs. It was
introduced in the year 2000. They are
commonly referred to NoSql databases as
data is stored using nodes, relationships and
properties instead of traditional databases. A
graph database is very useful for heavily
interconnected data.

10. Graph databases hold the
relationships between data as a priority.
Querying relationships is fast because they
are perpetually stored in the database.
Relationships can be intuitively visualized
using graph databases, making them useful
for heavily inter-connected data.

11. The statement “Only Nodes have
properties in Graph database “is False. This
can be stated by the fact that nodes do not
actually have any property in a graph
database.

12. Properties. Graph databases
are a powerful tool for graph-like queries.
For example, computing the shortest path
between two nodes in the graph. Other
graph-like queries can be performed over a
graph database in a natural way (for example
graph's diameter computations or community
detection).

13. Graph databases use nodes to store data
entities, and edges to store relationships
between entities. An edge always has a start
node, end node, type, and direction, and an
edge can describe parent-child relationships,
actions, ownership, and the like.

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