Cassandra vs MongoDB


- Advertisment -
Cassandra vs MongoDB
Picture taken from

Are you considering Cassandra or MongoDB for your next data project but aren’t sure which one is better. When it comes to NoSQL databases, Cassandra or MongoDB may seem very similar but they are quite different. Both have their own strengths and value propositions.

So in this article, we will compare Cassandra with MongoDB and tell you which one is better. But first, let’s check out the basic similarities between Cassandra and MongoDB.

The basic difference between Cassandra and MongoDB is that they are both NoSQL databases and none of them actually replace Relational Database Management System (RDBMS) and both of these databases are not ACID compliant databases. But when it comes to data requiring normalization and consistency, both MongoDB and Cassandra are a terrible choice. So let’s check out the basic differences between MongoDB and Cassandra.

Differences between Cassandra and MongoDB

Cassandra MongoDB
1) Cassandra has main core components such as Node, data centres, memory tables, clusters, commit logs etc.1) MongoDB supports ad-hoc queries, replication, indexing, file storage, load balancing, aggregation, transactions, collections etc.
2) Cassandra Node stores the data in it and its data centres consist of all the nodes.2) MongoDB stores data in such a way that the data is stored in BSON files on disk.
3) Cassandra cluster is distributed across different machines to handle failures and maintains the replicas to maintain the operations and transactions with high availability.3)MongoDB cluster contains different components such as shard, mongos and config servers to store metadata information and configuration settings details.
4) Cassandra has a replication factor that defines the number of copies of data across different machines to receive multiple copies of data to maintain fault tolerance and high availability.4) MongoDB works in the form of replicating all the instances in the entire server which is not done for a single database level.
5) Cassandra has the facility to add columns whenever or wherever wanted apart from the tradition relational based database systems.5) MongoDB can facilitate to add a new field to every document in the entire collection which is adaptable.
6) Cassandra deals with unstructured data and has a flexible schema to handle data read-write operations.6) Mongo DB supports different types of data types along with some binary data and object types.
7) Apache Cassandra is a wide column-based storage architecture based on the Big Data technologies and Dynamo DB database.7) Mongo DB architecture is designed in such a way that it balances the data automatically using its inbuilt feature in a shared cluster when the data grows as per requirement.
8) Cassandra was initially released in February 2008.8) MongoDB was released in 2009.
9)  Cassandra supports Linux, OS X, Windows, BSD Operating Systems.9) MongoDB supports multiple cross-platform operating systems such as Linux, Solaris, Windows, BSD, OS X, etc.
10) Cassandra supports most of the popular object-oriented programming languages such as C#, C++, Java, Go, Erlang, JavaScript, Perl, PHP, Python, Ruby, Scala, etc.10) MongoDB supports Java, Perl, PHP, node.js, C++, C#, .NET, Python, etc.

Watch the difference between Cassandra and MongoDB

Video by Edureka

Advantages and Disadvantages of Cassandra

Cassandra is popular for its ease of management feature. When users tend to construct conventional data more dependable with more speed, they will come closer towards Cassandra. Cassandra’s structural design supports multiple numbers of data centres working together. With master-less architecture, Cassandra offers a great performance by its quality of great scalability, awesome writings and also great solving of queries. If you know the basics of Cassandra technology, deploying newer technologies becomes very simple and easy for you.

READ MORE  OnePlus 8T: specifications, camera features And Review.

So let’s check out the basic Advantages of Cassandra

  1. Free of Cost
  2. Peer-to-Peer structural design
  3. Elasticity
  4. Column Based
  5. Adjustable Steadiness
  6. Fault Tolerance
READ MORE  What is Intent-Based Networking (IBN)

Disadvantages of Cassandra

  1. No support to Data Integration
  2. No cursor support
  3. No streaming of globule values
  4. Large outputs must be physically pages

Advantages and Disadvantages of MongoDB

MongoDB’s activities and performance are similar to the old style of storage systems, that’s why it is much easier and comfortable to use. MongoDB is easy and comfortable to use

As we have told you that Cassandra is known for its ease of management feature, MongoDB is popular for its ease of use. And it has become user-friendly and also helps the user in the network. Only because it is easy, it is the most popular among the engineers who take no time in working with the databases.

We have told you that Cassandra is popular for its ease of management but MongoDB is easy known for its ease of use. It’s never tough going with MongoDB because its solves complicated situations but still it cannot be regarded as the perfect one as it doesn’t help a user in complicated transactions.

So let’s check out the Advantages of MongoDB

  1. Scalability
  2. Flexibility
  3. User-friendly
  4. No re-establishment of indexing
  5. No concept of rows and columns
READ MORE  IXL Mathematics Grade 12 Skills Complete Curriculum

Disadvantages of MongoDB

  1. Memory is not expandable
  2. No complicated transactions can be done
READ MORE  Apple Watch Series 5 Vs Fitbit Versa 3 - Price, Key Specifications

Hope you’ve liked this article related to Cassandra vs MongoDB. If you think that we’ve missed something, do tell us in the comments section below.

Leave a Reply

Latest news

- Advertisement -

Mail-in voting amplified Red and Blue Vermont; the effect turned out to be fairly even

‘Murder on Middle Beach’ director was ‘willing to do whatever it takes’ to probe mom’s murder

With HBO’s four-part docuseries, “Murder on Middle Beach,” premiering Sunday, the 29-year-old Connecticut director explores the life...

Must read

- Advertisement -

You might also likeRELATED
Recommended to you