Component Analysis: Is Cassandra A Graph Database?

Every organization, regardless of scale, size, and sector, requires a database to collect, retrieve, and reflect information. When the companies start to gain momentum in their business, data takes a swift turn towards complexity. Moreover, the complex data requires updated and designated solutions to create a database. This is where Graph Database arrives at the scene. Now, several frameworks provide a swift and easy-to-use database, but Apache Cassandra is definitely at the pinnacle of that list. 

Now, the question arises whether Apache Cassandra can be used as a Graph Database or not? In order to find the answer, we should understand the working of Cassandra with the view of its components. 

Components of Apache Cassandra 

Node

The component is the actual warehouse of the data. There can be more than one node in the framework according to the scale of data. 

Data Center

Data Center is the combination of likewise nodes placed together. Cassandra stores the data and segregates them according to the information by creating different data centers. This allows the user to retrieve the required data swiftly. 

Cluster

A luster is a framework where all the data centers can be found. The layering of the data enhances privacy and security. 

Commit Log

Every shred of data entering the Apache Cassandra framework is primarily stored in the Commit Log. The component ensures the durability of data by providing a backup whenever required. 

SSTable

SSTable, which stands for sorted string table, is a data file receiving memtables from Cassandra. The component contains rows and columns to construct a tabular formation. They are present in each Cassandra table.  

CQL Table

This is where you will find a tabular representation of the data stored in Cassandra. The layout of the CQL table is defined by the schema. 

Now, as we mentioned above that complex data requires updated databases. Similarly, Cassandra uses DataStax Graph for graphical representations. The components replicate the data when asked by the user, which is then reflected by the DataStax in analytic formation. Let’s consider the composition of the DataStax database to understand it better. 

Composition Of DataStax DataBase

Vertex

A single unit or an entity that can be represented. You can think of a person, animal, object, or anything else that strikes your mind is a vertex. 

Edge

The mutual relationship between the vertices that represent the action is an edge. For example, while you are reading a book, reading is an edge. 

Property

The overall representation of the relation between vertex and edge is called property. It helps in sorting the complex data. 

With these three compositions, DataStax represents the stored information in graphs and allows the users to enjoy a detailed view of the dataset. 

Final Thought

The combination of all the components comprising Apache Cassandra and DataStax Graph Database makes Cassandra a graphical database. Therefore, you can retrieve complex data with a detailed and easy-to-read representation. Additionally, these components make Cassandra the most popular database. 

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