HomeBlogBig DataCassandra vs MongoDB: Difference Between Cassandra & MongoDB [2023]

Cassandra vs MongoDB: Difference Between Cassandra & MongoDB [2023]

Read it in 6 Mins

Last updated:
3rd Oct, 2022
In this article
View All
Cassandra vs MongoDB: Difference Between Cassandra & MongoDB [2023]


Cassandra and MongoDB are among the most famous NoSQL databases used by large to small enterprises and can be relied upon for scalability. Cassandra was launched in late 2008, and after a year, MongoDB was also launched. Apart from the fact that both are open-source, there are multiple contrasting factors between them.

Let’s have a look at them one by one.

Structuring Of Data 

Cassandra is more like RDBMS if we talk about the way it stores information. It stores data structured in tables and follows columns based arrangement. However, in contrast to RDBMS, you can make columns and tables very quickly.

Also, every line in Cassandra doesn’t need to have a similar column. The database depends on the essential key to bring information. 

Ads of upGrad blog

Whereas, MongoDB can be considered as an object-oriented database. It utilises BSON (Binary JSON) to store information. MongoDB can uphold different object structures, and even gives the option of creating nested structures.

If we compare with Cassandra, MongoDB is much more flexible as the user must not have a JSON schema. It also gives the option to deal with schemas if necessary in some cases.

Query Language

Cassandra utilises Cassandra Query Language (CQL) for getting the required data. CQL is fundamentally the same as SQL. CQL is very easy to learn for any data professional who is well acquainted with SQL.

MongoDB gives significantly better alternatives in this scenario majorly because it stores information in JSON-like records. Overseers can request MongoDB data via the Mongo shell, PHP, Perl, Python, Node.js, Java, Compass, and Ruby.

Explore our Popular Software Engineering Courses

Secondary Indexes

Secondary Indexes are valuable for getting the data that is primarily a non-key attribute. Cassandra doesn’t ultimately uphold secondary indexes. It depends on the primary keys to fetch data. 

MongoDB leans towards indexes for fetching the required data. The compatibility with secondary indexes helps MongoDB in improving the inquiry speeds.

It is conceivable to inquiry any property of an item, including nested objects, that too with few moments.

Explore Our Software Development Free Courses


To enhances the write-scalability of system, Cassandra enables the administrator to have multiple master nodes. An administrator can define the total number of nodes that will be required in a cluster. One can judge the level of scalability of a database on the number of full nodes.

On the other hand, MongoDB has enabled only one master node. Rest of the nodes act as slaves within the cluster. Even though data will be defined in the master node, the slave nodes are configured as read-only.

The scalability of MongoDB gets hit as compared to Cassandra, primarily because of this master-slave architecture. One can enhance the scalability of MongoDB through sharding techniques. Learn about Cassandra vs hadoop.

The underlying contrasting feature in the interpretation process between the two is the way they handle fault tolerance. Cassandra can define a cluster even when a particular node fails because it allows multiple masters.

On the other hand, MongoDB forces the administrator to wait 10 to 40 seconds if a node fails and wants to enter some information.

It is because of the single master behavior of MongoDB. All in all, Cassandra is much better than MongoDB in terms of availability.

In-Demand Software Development Skills


To run complex queries, most of the users use aggregation these days. In Cassandra, there is no built-in support for any aggregation system. Most of the users have to find a workaround for utilising the benefits of aggregation.

For this, multiple third-party tools are used by administrators like Hadoop and Spark.

Unlike Cassandra, MongoDB comes packed with an aggregation framework. To aggregate stored data, it can make use of the ETL pipeline and give out results.

Although it is an easy way to do this, the built-in aggregation method runs only on low to medium traffic. Hence, it becomes challenging to scale as the aggregation framework keeps on becoming complex.


Performance evaluation of these requires the analysis of a lot of factors. Everything is taken into account from the type of schema you use (which directly affects the query speeds) to the input and output load characteristics (responsible for a database’s performance). 

Cassandra was a clear winner in write-oriented operations as per a 2018 benchmark report on Cassandra vs MongoDB.


Licensing is not a significant issue in both databases as they open as open-source, free software. If someone wants to opt for enterprise-grade Cassandra, third-party vendors like Datastax offer individual plans. Whereas, its namesake software company usually overlooks MongoDB.

Subscription plans are available for both of them at different levels. On top of it, anyone can also use AWS to host the database on public clouds as AWS gives built-in support. Learn More About Top 5 Big Data Tools 

Read our Popular Articles related to Software Development


Organisations are continuously searching for new and creative innovations to chip away at, and databases like MongoDB and Cassandra is one of them. These new-age abilities are valuable to flourish in a competitive environment where needs change with a new technology’s arrival.

Ads of upGrad blog

upGrad has been offering these forefront skills in different areas, for example, a Machine Learning Course, Data Science from IIITB, provided in a joint effort with industry accomplices like Flipkart and Indian Institute of Information Technology. 

Your future must be secure if you devote your time and exertion to seek after your goals. We at upGrad are here to assist you with accomplishing that potential and form your abilities into resources for future organisations and associations by giving ongoing sources of info and broad arrangement.

Make your future secure with us, and don’t let these difficulties deny you had always wanted.

Learn Software Development Courses online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs or Masters Programs to fast-track your career.


Rohit Sharma

Blog Author
Rohit Sharma is the Program Director for the UpGrad-IIIT Bangalore, PG Diploma Data Analytics Program.
Get Free Consultation

Select Course
By tapping submit, you agree to  UpGrad's Terms & Conditions

Our Popular Big Data Course

1What are the main components of the Cassandra Data Model?
Cassandra is an open-source data storage system designed to handle a large amount of data across commodity servers. It is a fault-tolerant, consistent, and column-oriented database where all the data is stored as bytes. The main components of the Cassandra Data Model are Keyspace, which are containers of data which contain many tables; Tables, which include a set of columns and store data in a group of rows, and Columns, which define the structure of data in the table.
2What are NoSQL Databases?
NoSQL databases are non-tabular databases that store and retrieve data differently from relational databases. NoSQL gained popularity in the late 2000s as it allowed the developers to keep different data types such as structured, unstructured, and semistructured, which provided them with a lot of flexibility. There are a variety of NoSQL databases based on the data models. Specifically, there are 4 types of NoSQL databases: Key-value stores, which associate data with unique keys for identification, Wide-column databases, which use the tabular format of relational databases, Graph databases, which use graph structures to define, and Pure-document databases, which store data in documents.
3What are the advantages of MongoDB?
MongoDB is an open-source, NoSQL document database written in C++ language. There are many advantages offered by MongoDB, which justifies its increasing popularity in many companies. It is the fifth most popular database in the world and the most popular NoSQL database, with over 15 million downloads. One of the advantages of MongoDB is its scalability. There are companies worldwide that have defined clusters, running with 100+ nodes containing millions of documents within the database. It is a fully cloud-based application data platform with access to services that integrate natively with the database. It has a change-friendly design that allows you to change the data structure as and when required. Additionally, it contains inbuilt support for data partitioning. It is cost-effective and offers a simple installation procedure, making it ideal for many programmers.

Suggested Blogs

Top Advantages of Big Data for Marketers
There have been many technologies that have reshaped the world in recent times, and particularly in this new millennium. Perhaps, behind the scenes of
Read More

by Pavan Vadapalli

24 Feb 2023

Best Big Data Tools & Applications in 2023
The term big data has been trending for a while in the education sector, banking, industries etc. They are now involved in every field of life. The va
Read More

by Pavan Vadapalli

22 Feb 2023

Apache Spark Developer Salary in India: For Freshers & Experienced [2023]
Every company today wants to crunch numbers and learn what its data is hiding. The patterns and trends that data show can have a huge impact on the ma
Read More

by Rohit Sharma

22 Nov 2022

Hive vs Spark: Difference Between Hive & Spark [2023]
Big Data has become an integral part of any organization. As more organisations create products that connect us with the world, the amount of data cre
Read More

by Rohit Sharma

22 Nov 2022

Spark Developer Resume For Freshers & Experienced [With Samples]
They say that the first impression is the last impression. When landing the dream Spark developer job, a resume can mean the difference between you be
Read More

by Rohit Sharma

22 Nov 2022

Hadoop Developer Salary in India in 2023 [For Freshers & Experienced]
 Doug Cutting and Mike Cafarella created Hadoop way back in 2002. Hadoop originated from the Apache Nutch (an open-source web search engine) project,
Read More

by Utkarsh Singh

22 Nov 2022

Difference Between Big Data and Hadoop | Big Data Vs Hadoop
If you are in the business world, you probably would have come across the terms Big Data and Hadoop. But what exactly do they refer to? And why should
Read More

by upGrad

31 Oct 2022

35 Must Know Big Data Interview Questions and Answers 2023: For Freshers & Experienced
Attending a big data interview and wondering what are all the questions and discussions you will go through? Before attending a big data interview, it
Read More

by Mohit Soni

31 Oct 2022

13 Ultimate Big Data Project Ideas & Topics for Beginners [2023]
Big Data Project Ideas Big Data is an exciting subject. It helps you find patterns and results you wouldn’t have noticed otherwise. This skill
Read More

by upGrad

28 Oct 2022