MongoDB vs Cassandra

Difference Between MongoDB vs Cassandra

Mongo DB is an open source and free database software which is a NoSQL type database program. It supports cross-platform and is a document-oriented database. It has various licensing versions too. It was developed by MongoDB Inc. It first appeared and was released in the year 2009. It was written based on C++, C and JavaScript programming languages. MongoDB was licensed under Apache License. It supports different operating systems like Windows, Linux, Free BSD, Linux, OS X, Solaris etc. MongoDB can also be used as a file system.

Apache Cassandra is an open source and freely distributed No-SQL database management system developed and designed to handle large-scale data across distributed commodity servers. Apache Cassandra was developed by Apache Software Foundation which was initially released in the year 2008. It supports cross-platform Operating System Cassandra database provides high availability and zero single points of failure. It also wins in the case of Scalability.

Cassandra a No SQL database’s main objectives are such as simple design structures, high availability and horizontal scaling etc. Compared to relational databases, NoSQL databases support powerful queries and transactions by following ACID (Atomicity, Consistency, Isolation, and Durability) properties. Apache Cassandra is having elastic scalability, fast linear performance, easily distributed architecture, faster queries and transactions support, faster read and write capabilities. It was initially developed at Facebook for searching the messages in Inbox and was made open source later by Facebook. Cassandra has a Query language called CQL which is Cassandra Query language.

Head To Head Comparison Between MongoDB vs Cassandra (Infographics)

Below is the top 10 difference between MongoDB vs Cassandra

Key differences between MongoDB vs Cassandra

Both MongoDB vs Cassandra performance are popular choices in the market; let us discuss some of the major Difference Between MongoDB vs Cassandra:

1. Mongo DB supports ad-hoc queries, replication, indexing, file storage, load balancing, aggregation, transactions, collections etc., whereas Apache Cassandra has main core components such as Node, data centers, memory tables, clusters, commit logs etc.
2. Mongo DB stores data in such a way that the data is stored in BSON files on disk whereas Apache Cassandra Node stores the data in it and its data centers consist of all the nodes.
3. Mongo DB cluster contains different components such as shard, mongos and config servers to store metadata information and configuration settings details whereas Apache Cassandra cluster is distributed across different machines to handle failures and maintains the replicas to maintain the operations and transactions with high availability.
4. Mongo DB works in the form of replicating all the instances in the entire server which is not done for single database level whereas Apache Cassandra has 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.
5. Mongo DB can facilitate to add a new field to every document in the entire collection which is adaptable whereas Apache Cassandra has the facility to add columns whenever or wherever wanted apart from the tradition relational based database systems.
6. Mongo DB supports different types of data types along with some binary data and object types whereas Apache Cassandra deals with unstructured data and has a flexible schema to handle data read-write operations.
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 whereas Apache Cassandra is wide column based storage architecture based on the Big Data technologies and Dynamo DB database.
8. Mongo DB is ranked in top 5 in terms of engine ranking whereas Apache Cassandra scored less in terms of DB engine ranking in terms of popularity and trending.
9. Mongo DB was released in 2009 whereas Apache Cassandra was initially released in February 2008.
10. Mongo DB supports multiple cross-platform operating systems such as Linux, Solaris, Windows, BSD, OS X etc. whereas Apache Cassandra supports Linux, OS X, Windows, BSD Operating Systems.
11. Mongo DB supports Java, Perl, PHP, node.js, C++, C#, .NET, Python etc. whereas Apache Cassandra supports most of the popular object-oriented programming languages such as C#, C++, Java, Go, Erlang, JavaScript, Perl, PHP, Python, Ruby, Scala etc.

MongoDB vs Cassandra Comparison Table

The primary Comparison between MongoDB vs Cassandra are discussed below:

Conclusion – MongoDB vs Cassandra

Mongo DB is No SQL and document-oriented database and Apache Cassandra is also a No SQL based database system, where Elasticsearch is clearly a winner in terms of latest object-oriented or No SQL databases is based on Lucene developed by Apache which is a good index based search engine. In terms of performance scalability and the features, Apache Cassandra can be considered the best database in the case of large amounts of data to be handled and in terms of query execution speed and optimization.

The advantages of MongoDB are that the complex data can be easily be modeled because of the JSON format support provided. This gives much popularity for the Mongo DB compared to the Cassandra. Both MongoDB vs Cassandra Performance the databases have their greater advantages depending on the requirements and the amount of data about to be handled in the application decides the choice to be made.

Recommended Article

This has a been a guide to the top difference between MongoDB vs Cassandra. Here we also discuss the MongoDB vs Cassandra key differences with infographics, and comparison table. You may also have a look at the following articles MongoDB vs Cassandra to learn more –

1. Hadoop vs Cassandra – Top Differences
2. MongoDB vs Postgres
3. Cassandra vs Elasticsearch
4. MongoDB vs Hadoop – Awesome Comparisons
5. MongoDB vs DynamoDB: What are the Differences
6. MongoDB vs SQL: Benefits