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Cassandra Vs MongoDB

Cassandra Vs MongoDB

May 14th, 2019

Cassandra Vs MongoDB

Cassandra is a free NoSQL database system. This database is an open source system. This management system is designed for handling large sets of data through several commodity servers. MongoDB could also be classified as a NoSQL database system. This system is a cross-platform document-oriented database program. This database uses a JASON-like document for increasing the scalability and flexibility of the database.

Why Cassandra?

Cassandra is developed on the platform of Google’s BigTable and Amazon’s Dynamo. This system was developed by Facebook for handling its big sets of data. It was built-for-scale architecture which means Cassandra would be able to handle a huge amount of data and operation in every second. Cassandra also provides other facilities such as linear scale performance, continuous availability, easy data distribution, and operational simplicity.

The architecture of the system is fully responsible to perform and offer continuous uptime in when it is operational. Cassandra uses a master-less ring design for its architecture. This design helps in making Cassandra an easy to set up, easy to maintain and elegant database management system.

Every node in database architecture has identical roles. Cassandra being a master-less design, none of the nodes could be considered as a master node. All nodes would communicate with each other as equals.

Why MongoDB?

MongoDB is an open-source DBMS (Data Base Management System) program. This system utilizes a document database model which would increase the flexibility and scalability of the system. MongoDB is fully capable of handling different kinds of data formats. This database system would also be able to handle those data that could not be processed through the regular databases which use a Rigid Relational Model.

This database system would also support ad hoc queries which include regular expression, range query, and field searches. Every field in this database would be indexed with secondary and primary indices. For storing files, this system uses a file system known as GridFS.

This system has data replication and data load balancing features that could be applicable over several machines. This database also supports fixed-size collection known as Capped Collection. It generally behaves like a circular queue.

Difference Between Cassandra and MongoDB



Cassandra uses the orthodox data model to manage its data. This system used columns and rows.

As MongoDB is a document database system, it uses an object-oriented data model.

Data in this database architecture are more structured and every column would be specified during the creation of the column.

Data in this architecture would be represented by the object structure present in the domain. If required, data could be stacked on multiple levels.

This database architecture is written in the Java coding language. This database system could be deployed on Windows, Linux, OSX, and BSD.

This database architecture is written in the C++ coding language. This architecture was supported by JavaScript, Lisp, D, Matlab, PHP, Python, and Smalltalk.

If coders are experienced with the language of SQL or CQL, then he or she would be able to learn more efficiently and quickly.

In the case of MongoDB, the coder would have to learn an entirely new query language.

The architecture structure of Cassandra utilizes a number of master nodes in the cluster.


The architecture structure of MongoDB utilizes a single master node in the cluster.

All nodes in the Cassandra database management system treated equally. In the cluster, if one node faces downtime then its operation would be taken by other nodes.

This architecture uses the master-slave model for the nodes. When the master nodes face downtime then a single slave node is chosen as master as its replacement.

Due availability of a large number of node at a time, the availability of Cassandra increases to a high level.

During the replacement, the system would take about 10 to 30 seconds for the installation of the slave node as the master node. During this lag time, the system would not be able to take any input.

The scalability of Cassandra is very high as this database has multiple numbers of nodes. These nodes act as an input channel to the system.

The scalability of MongoDB is not very high as it uses its single master node as an input port and all other slaves as an output port.

Cassandra database system has no in-built aggregation framework. It uses external tools for aggregation related operation.


MongoDB database system has an in-built aggregation framework. This framework is essential for converting all data which are stored in the database.

Cassandra would be able to provide high linear and scalable performance.

MongoDB is capable of providing faster execution of the query, as the system employs a simple schema.