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This was released in November 2020.ДЄpache Software Foundation oversees the development and support of Cassandra. At the time of writing, the latest stable release of Cassandra is 3.11.9. Several developers continued its development and enhancement. They developed it using Java.ДЇacebook offered Cassandra as an open-source project in 2008. Avinash Lakshman was one of them, who was also one of the creators of the Dynamo storage system offered by Amazon. Two developers at Facebook had created Cassandra. This scalable database offers high availability, and it doesnвЂ™t have a вЂњSingle Point of FailureвЂќ (SPoF). This distributed database can handle a large volume of data.

Organizations use it to build mobile apps, content management apps, IoT (Internet of Things) apps, and real-time analytics apps.Д®xamples of prominent companies using MongoDB are as follows:ДЄpache Cassandra, or Cassandra as we commonly call it, is a popular open-source NoSQL database. Limitations concerning nesting: You can nest documents up to 100 levels only.Д¬ompanies use MongoDB when they need scalability and caching.Limitations concerning document size: You canвЂ™t have documents in MongoDB that are larger than 16 MB.It doesnвЂ™t have well-defined relations, which causes duplication of data. Duplication of data: MongoDB isnвЂ™t an RDBMS (Relational Database Management System).Failing to do so can considerably degrade the performance. Requires high expertise: Do you want excellent performance from MongoDB? You need the right expertise to implement the indexes well.These factors combine to increase the usage of memory. This DBMS (Database Management System) stores key names for each value pairs. A high degree of memory usage: As we discussed, MongoDB provides limited support for вЂњJoinsвЂќ.

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You need to write your own code to implement вЂњJoinsвЂќ, furthermore, it can adversely impact the performance. Developers working on improving MongoDB are currently working on this. Immature and inadequate вЂњJoinвЂќ capabilities: MongoDB lacks a mature вЂњJoinвЂќ capability.

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The lack of support for transactions: Are you creating an application that requires transactions? Do you plan to update multiple documents or collections using transactions? MongoDB doesnвЂ™t support this, and you could encounter corrupt data.

MongoDB has a few disadvantages, which are as follows: It provides robust technical support, furthermore, thereвЂ™s community support available.

Support: MongoDB provides excellent documentation.

It provides query support, which includes ad-hoc queries.

Querying capabilities: MongoDB is a feature-rich database management system.

You will find its JavaScript-based client easy for queries.

Ease of use: You can set up MongoDB easily.

This helps you to deal with large data sets since you can distribute them to multiple servers.

Scalability: MongoDB allows horizontal scaling.

It offers very useful features like load balancing, replication, etc.

Availability: You can use MongoDB as a file system, which is called вЂњGridFSвЂќ (Grid File System).

This enables faster access to documents, and speed is a key advantage of MongoDB.

Speed: MongoDB allows you to index documents.

You can just distribute them to different servers. It allows you to store large sets of data.

Sharding: MongoDB supports sharding, which is a useful technique for partitioning.

You can store any type of data in separate documents, which offers flexibility.

Flexibility: MongoDB doesnвЂ™t have schemas.

Its latest stable release came in December 2020, and this release is 4.4.3. This database went through several iterations of development. MongoDB uses a вЂњsource-availableвЂќ licensing model. They used Go, JavaScript, and Python for several tasks too. The creators of MongoDB developed it using C++.

This company transitioned to an open-source development model in 2009, and it launched MongoDB in the same year. As a document database, MongoDB stores data in JSON-like documents.ДЎ0gen, a software company started developing MongoDB in 2007. ItвЂ™s a general-purpose database thatвЂ™s document-based. MongoDB is one of the most popular NoSQL databases. After explaining their pros and cons, we compare them. We first provide overviews of all of these NoSQL databases. Which NoSQL database should you use? Our MongoDB vs Cassandra vs Redis vs Memcached vs DynamoDB comparison can help you to decide. Many projects require NoSQL databases in addition to relational databases. A comparison between popular NoSQL databases: MongoDB vs Cassandra vs Redis vs Memcached vs DynamoDBДЄs an entrepreneur or an enterprise IT project manager, you likely think about databases to use in your application development projects.