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Difference between MongoDB vs Cassandra

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Introduction To MongoDB Vs Cassandra

Mongo DB is the free and open-source database software that is a NoSQL type database program. It is cross-platform and is a document-oriented database. It was written based on the programming languages ​​C ++, C, and JavaScript. MongoDB has been licensed under the Apache license. It supports various operating systems such as Windows, Linux, Free BSD, Linux, OS X, Solaris, etc. Apache Cassandra is a free and open-source No-SQL database management system designed and designed to handle large-scale data by distributed products. server. The main goals of the Cassandra a No SQL database are a simple design framework, high availability, and scale-out, etc.

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:

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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 …
  7. 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.
  8. Mongo DB was released in 2009, while Apache Cassandra was released in February 2008.
  9. 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..
  10. Mongo DB supports Java, PHP, Perl, C,node.js, C ++, C #, .NET, Python, and more, while 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 Chart

The main comparison between MongoDB vs Cassandra is discussed below:

Basis of comparison between MongoDB vs CassandraMongoDBCassandra
LicenseOpen Source No SQL Database, Apache LicenseApache Open Source Projects Has Developed Open Source No SQL database
EnvironmentDeveloped by MongoDB Inc. and supports cross-platform systemsProvided by Apache Projects and useful for distributed environments..
PerformanceProvides better query performance with a simpler schemaProvides high scalability and linear performance
ScalabilityRecord scalability is limited in MongoDBHigh scalability
pricingOpen source and implementation-dependent and has different licensed versionsOpen source and implementation-dependent
speedNot faster compared to Cassandra in terms of reading operationsFaster for small script requests
Request rateReduces network speed when making multiple requestsAbility to execute multiple queries
Data integrationFast and flexible with various applications and tools like big data.Fast and flexible with a variety of tools
Data formatBSON and JSON data formats.No data formats SQL, JSON.
Ease of useEasier to write scriptsEasier 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.

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About author

Irshad Mohammad Is a graduate from an arts background, Currently working as a SEO analyst and content contributor at Mindmajix. He is a technology enthusiast who loves to write about AI,Machine Learning,Business Process Management,IoT courses Etc
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