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RethinkDB vs MongoDB

By Payal UdhaniPayal Udhani

RethinkDB vs MongoDB

Introduction to RethinkDB vs MongoDB

RethinkDB and MongoDB are the database tools that help to manage the database and store the data in an efficient manner. MongoDB is open-source tool and was designed to handle giant data and ideas. The data is stored in JSON-like format which is referred to as documents that allow flexibility in the structure of the data to be stored. Additional features of MongoDB that make it great for usage include the support for auto-sharding and the inbuilt replication of data that is stored. MongoDB is more popular, accepted, and used as compared to RethinkDB.

On the other hand, RethinkDB also stores the data in JSON format and is open-source. One of the crucial features of RethinkDB includes the ease in scaling up the setup to multiple machines which involves very fewer efforts. RethinkDB also has the advantage of having the support to various useful query statements some of which include group by and table joins which are very easy to learn and setup.

In this article, we will study the difference between the technology of both the database tools.

Head to Head Comparison between RethinkDB vs MongoDB (Infographics)

Below are the top 21 differences between RethinkDB vs MongoDB:

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Comparison Table of RethinkDB vs MongoDB

MongoDB

RethinkDB
MongoDB is the most preferred NoSQL database and can be used with Cloud services. Also provides the in-built infrastructure for deployment along with a document storage facility. RethinkDB comes along with support functionalities of using the DBMS with web and includes a mechanism to handle and push the results of the query statements in real-time applications.
The primary database model used for storing the data is Document-based. The primary database model used for storing the data is Document-based.
The developer of MongoDB is MongoDB, Inc. The RethinkDB is developed by the Linux Foundation.
It has a secondary model of a database called a search engine. It doesn’t have any secondary model of the database.
https://www.mongodb.com/ is the official website. https://rethinkdb.com/docs/ is the official website.
Dbaas is a database as a service is offered by scalegrid and mongoDB atlas. Scalegrid provides high availability and multiple cloud facility and can be used to host mongoDB on multiple platforms like AWS, Digital Ocen and Azure. MongoDB atlas can be used for deploying fully-managed cloud DB service on platforms like GCP, AWS, and Azure. No provision of Database As A Service.
The language used for implementing MongoDB internally is C++. The language used for implementing RethinkDB internally is C++.
The suitable server operating systems for MongoDB include Linux, OS X, Windows, and Solaris. The suitable server operating systems for RethinkDB include Linux, OS X, and Windows.
SQL queries can be used via MongoDB connector but they are limited to the read-only mode that too for BI (Business Intelligence). No support for SQL.
MongoDB comes with XML support. RethinkDB does not support XML.
It contains a list of supported programming languages including Swift, Scala, Ruby, Python, Smalltalk, Rust, R, PHP, Perl, Lisp, Java, Javascript, Matlab, Coldfusion, C, C#, C++ and many more. It contains a list of supported programming languages including Scala, Ruby, Python, PHP, Perl, Lisp, Java, Javascript, Objective C, C, C#, C++, and many more but are less than languages supported by Mongo DB.
The serverside scripts that can be used to implement the stored procedures include javascript. None of the server-side scripts are supported.
Triggers can be used but it is only restricted to MongoDB Atlas implementation. Triggers can be used on the client-side by using change feeds.
The partitioning method used for storing different data on different nodes is done by sharding technique in which partition is done using hash, zoned shared keys or range. The partitioning method used for storing different data on different nodes is done by the sharding technique in which partition is done based on range.
The replication is implemented by storing the same data on multiple nodes in MogoDB Atlas by deploying from multiple sources called as source replica replication. The replication can be used by using the technique of source replica.
Map reduce API is provided for usage. Map reduce API is provided for users.
In a distributed system, the consistency can be maintained in an eventual consistency format for all the operations or immediate consistency pattern in which decisions can be made individually for each write action. In a distributed system, the consistency can be maintained in an immediate consistency pattern.
For all the non-atomic tasks of data the transaction is done by having multiple document ACID transactions followed with snapshot isolation. Transactions are done in atomic manner for every document operation.
Concurrency and durability are followed. Concurrency and durability are followed.
There is an option that allows having all the structures and data in memory itself which is known as in-memory capability. No support for in-memory capability.
Access is restricted to only specific roles and users. Table and user-level permissions can be set.
The recent release includes 4.4.3 of December 2020. The latest release includes 2.4.1 of August 2020.

Conclusion

The MongoDB and rethinkDB both are open source database tools that can be used to handle large amounts of data. Both have their own advantages and disadvantages.

Most of the developers prefer MongoDB more than RethinkDB because of its auto sharding and replication functionalities. Also, MongoDB comes with a dynamic and flexible structure of the data which is stored in JSON-like documents storage. It is mostly preferred for large and huge database systems which need distributed system and multiple nodes to store the replicas and data. One more advantage with MongoDB is its high availability and scalability.

RethinkDB can be used when a lot of machines are needed for storing the data with very little effort. One of the advantages of using RethinkDB is the use of query language which helps in using complex things like joins of the table and grouping of the data based on certain parameters. Learning this language and setting it up on your device becomes very easy which adds a benefit. Mostly, because of the non-ACID support of the transactions for non-atomic document manipulations, MongoDB is given more preference than that of RethinkDB by most of the developers.

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This is a guide to RethinkDB vs MongoDB. Here we discuss the introduction, head to head comparison with infographics, and comparison table. You may also have a look at the following articles to learn more –

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