MongoDB Competitors & Alternatives in 2022

Software Development

MongoDB Competitors & Alternatives

Quick Summary : In this blog we have discussed :

  1. What is Spear MongoDB ?
  2. Pros and Cons MongoDB ?
  3. List of Top MongoDB Competitors & Alternatives ?

Table of Contents


As the world faces the issue of so much messed-up structured and unstructured data, it is wise to cater to this heap of data and get out the critical information by using big data solutions and database services. MongoDB is one of the known names in the big data world.

It is a famous open-source database management system that uses a document-oriented database model. It was released in 2009 and is utilized for big data applications. It is known as a non-relational database and NoSQL database program. MongoDB supports different data forms. Instead of the tables and rows, collections and documents are used by MongoDB.

Written in C++, MongoDB is thought to be perfect for mobile apps, real-time analytics, and IoT-based applications. MongoDB is the most desired database skill among software developers globally in 2021.

The primary features of MongoDB include adequate data storage, optimized and real-time analytics using ad-hoc queries, proper indexing for good query execution, and cases with a high write load have high write load, sharding, and loading balance.

Even though MongoDB has the best features and expanding community, there are areas where it is lacking, such as high data consumption due to denormalization, no functions to bind the logic, and not being compliant with ACID. Due to some lacking features, developers search for other alternatives for MongoDB.

So this blog will shed light on the alternatives for MongoDB that fills the lacking requirements.

Good Read : What is App Cloud

Pros of MongoDB

  • Being a NoSQL database, MongoDB doesn’t need predefined Schemas. Any data can be stored in it. So the user gets the flexibility to create any fields of documents, so it becomes easier to scale MongoDB databases relatively to relational databases.
  • The objects map to native data types using documents in different programming languages. The embedded documents lower the requirements for database joins, reducing the costs.
  • The primary function of MongoDB is its horizontal scalability, making it a practical database for companies running large data applications. The data is distributed across the cluster of machines by using sharding. Depending on the sharding key, the development of zones of databases is supported by the latest versions of MongoDB.
  • The MongoDB enterprise server has additional security features such as an in-memory storage engine, features of authentication and administration, and monitoring capabilities through Ops Manager.
  • The graphic user interface, also known as the MongoDB compass, allows users to work with document structures, index data, conduct queries, and much more. The users can connect the NoSQL database with the MongoDB connector for BI. The users can use business intelligence tools to visualize data and develop reports using SQL queries.
  • In 2016 MongoDB Inc launched the cloud database service known as MongoDB Atlas, imitating the other NoSQL database providers. Then a platform called Stitch was released by MongoDB, for the development of the applications of MongoDB Atlas, with the plan of extending its future to on-premises databases.
Read Also : What is DPA 

MongoDB Alternatives & Competitors

  • Microsoft :

A multinational American technology corporation aimed to produce computer softwares, personal computers, consumer electronics, and other services.

  • MariaDB :

It is a developed community that is free and open-source software under the license of the GNU.

  • Google :

The multinational tech company provides search engine technology, cloud computing, online advertising, e-commerce and computer softwares, artificial intelligence, and consumer electronics.

  • Couchbase :

Couchbase Server, originally known as Membase, is an open-source, distributed multi-model NoSQL document-oriented database software package optimized for interactive applications. These applications may serve many concurrent users by creating, storing, retrieving, aggregating, manipulating, and presenting data.

  • IBM :

It is the company for producing and selling computer hardware and softwares, along with cloud computing and data analytics. Over the years, they also performed as primary research and development corporation, with significant inventions such as hard drive, floppy disk, and the UPC barcode.

  • Cloudera :

Cloudera Data Platform gives the freedom to move the data, apps, and users safely. It allows the bi-directional movement between the data centers and different data clouds, despite where the data lives.

  • Redis :

The tech company provides the open-source and commercial in-memory NoSQL database for transferable, inquisitive, and hybrid deployments.

  • Data Stax :

It is a database platform built for the performance and accessibility needs of web, mobile, and IoT applications.

  • SingleStore :

It is a cloud-native database that is utilized for data-intensive applications. It is a relational, distributed, and SQL database management system with ANSI SQL support. It is famous for its speed in data ingestion and processing transactions and queries.

  • Amazon DynamoDB : offers it as part of the Amazon Web Services portfolio. It is a wholly directed proprietary NoSQL database service.

  • RethinkDB :

It is a free, open-source, distributed document-oriented database created initially by the same name company. With the help of the dynamic schemas, it stores the JSON document and is tailored to help push the real-time updates for query results to applications.

  • OrientDB :

It is an open-source NoSQL database management system. OrientDB is written in Java. It supports the multi-model database system’s graphs, keys, object models, and documents.

  • CouchDB :

Again it is another open-source database that is Document oriented toward NoSQL. In Erlang, it is implemented. Various formats and protocols are used by CouchDB for the storing, transferring, and processing of its data. It stores data using JSON.


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A document database is used to build highly available and scalable internet apps. It has a flexible schema approach and is used by the developers that use the agile methodologies.
It is a non-relational document database that gives support for JSON-like storage. The database of MongoDB has a flexible data model that allows you to store unstructured data and gives complete indexing support, and its rich and intuitive APIs give replication.

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