Introduction To MongoDB Vs Cassandra
Let’s take a closer look at MongoDB and Apache Cassandra:
- Mongo DB also has various licensing versions. It was developed by MongoDB Inc. It first appeared and was released in 2009. MongoDB can also be used as a filesystem. Apache Cassandra was developed by the Apache Software Foundation, which was released in 2008. It supports a cross-platform operating system. The Cassandra database provides high availability and no single points of failure.
- It also benefits from Scalability. Compared to relational databases, NoSQL databases support powerful queries and transactions by following the ACID (Atomicity, Consistency, Isolation, and Durability) properties.
- Apache Cassandra has pliable scalability, quick linear performance, simply distributed architecture, quicker queries and transaction support, quicker read and write capabilities. It was originally developed by Facebook to search for messages in the inbox and later became open source by Facebook. Cassandra has a query language called CQL, which is Cassandra’s query language.
Key differences between MongoDB vs Cassandra
MongoDB vs Cassandra performance is a popular choice in the market; Let’s discuss some of the main differences between MongoDB and Cassandra:
- Mongo DB stores data in a unique way that the data is stored in BSON files on disk, while Apache Cassandra Node stores data in it. Its data centres are made up of all nodes.
- The Mongo DB cluster contains various components such as shard, mangos, and configuration servers to store metadata and configuration information, while the Apache Cassandra cluster is distributed across different machines to handle failures and maintains replicas for high availability of operations and transactions.
- Mongo DB works in the form of replicating all instances across the entire server, which is not done for one tier of the database, whereas Apache Cassandra has a replication factor that determines the number of copies of data across different machines to get multiple copies of the data for fault tolerance. and high availability.
- Mongo DB can make it easy to add a new field to every document in the entire collection that can be tailored, while Apache Cassandra has the ability to add columns anytime, anywhere besides traditional relational database systems.
- Mongo DB supports various types of data types along with some binary data and object types, whereas Apache Cassandra works with unstructured data and has a flexible schema for handling read/write data operations.
- Mongo DB architecture is designed in such a way that it automatically balances data using a built-in function in a shared cluster when data grows as required, whereas Apache Cassandra is a wide column storage architecture based on big data technologies and Dynamo DB …
- Mongo DB is ranked in the top 5 in terms of engine rating, while Apache Cassandra scores fewer points in terms of database engine rating in terms of popularity and trends.
- Mongo DB was released in 2009, while Apache Cassandra was released in February 2008.
- Mongo DB supports multiple cross-platform operating systems such as Linux, Solaris, Windows, BSD, OS X, etc., while Apache Cassandra supports Linux, OS X, Windows, BSD operating systems..
MongoDB vs Cassandra Comparison Chart
The main comparison between MongoDB vs Cassandra is discussed below:
|Basis of comparison between MongoDB vs Cassandra
|Open Source No SQL Database, Apache License
|Apache Open Source Projects Has Developed Open Source No SQL database
|Developed by MongoDB Inc. and supports cross-platform systems
|Provided by Apache Projects and useful for distributed environments..
|Provides better query performance with a simpler schema
|Provides high scalability and linear performance
|Record scalability is limited in MongoDB
|Open source and implementation-dependent and has different licensed versions
|Open source and implementation-dependent
|Not faster compared to Cassandra in terms of reading operations
|Faster for small script requests
|Reduces network speed when making multiple requests
|Ability to execute multiple queries
|Fast and flexible with various applications and tools like big data.
|Fast and flexible with a variety of tools
|BSON and JSON data formats.
|No data formats SQL, JSON.
|Ease of use
|Easier to write scripts
|Easier to write scripts and queries.
Conclusion – MongoDB vs. Cassandra
Mongo DB is a non-SQL and document-based database and Apache Cassandra is also a non-SQL database system, where Elasticsearch clearly wins in terms of the latest object-oriented databases, or not. SQL database is based on Lucene developed by Apache, which is a good index-based search engine. In terms of scalability, performance, and features, Apache Cassandra can be considered the best database when processing large amounts of data, as well as in terms of speed and optimization of query execution.