Trending September 2023 # Know Top 8 Awesome Alternatives Of Mongodb # Suggested October 2023 # Top 14 Popular

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Introduction to MongoDB Alternatives

MongoDB is a database management system. It uses a document-oriented database model and supports various forms of data. It is a non-relational database technology used for big data applications where the data is in the unstructured format. Instead of tables and rows, the architecture uses collections and documents. Hence the data in MongoDB is essential ‘schema-less’, which makes MongoDB a very fast and scalable application. MongoDB is written in C++ which makes it faster than most of the other competitors. MongoDB is very efficient in cases where significant scalability and caching for real-time analytics on unstructured data is required. MongoDB is very much suitable for Mobile apps, content management, real-time analytics, and applications involving IoT. Like everything else, MongoDB has its pros and cons. Let’s dive in further to analyze the limitations of MongoDB and other alternatives that are suitable for various requirements.

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Pros and Cons of MongoDB

Pros of MongoDB:

MongoDB can be used to store the unstructured data.

In a way that is relatively straightforward to update.

It offers a high insert rate which is useful in a situation where the write load is high.

Cons of MongoDB:

It is not built for transactional data.

There is no function or stored procedure where the logic can be bound.

All NoSQL, most solutions are not ACID-compliant.

MongoDB does not provide durability as a function of the tool, it does let you tune the configuration of a replica set but that means one should be willing to sacrifice enough performance.

Alternatives of MongoDB

Below are the top 8 MongoDB Alternatives:

1. RethinkDB

RethinkDB is a scalable DBMS system that is open source. It helps in making real-time building apps much easier. This alternative of MongoDB offers a flexible query language, interactive operations, API monitoring, and is easy to install and learn.

Features:

Helps you to build saleable real-time apps easily

You can build modern apps using any web framework

Helps you pair with real-time technologies like SignalR and Socket.io

Using joins, develop location-aware apps becomes easier

2. OrientDB

OrientDB is another open source NoSQL multi-model database. Organizations can now unlock the true power of graph databases. This can be done without any need of deploying multiple systems to handle different data types. This helps optimize performance and security while supporting scalability.

Features:

Focused on Scalability and Performance

Unified Multi-Model API – for quicker deployment

TinkerPop3 for fast and effective upgrades

Enhanced query planner and executor

3. CouchDB

CouchDB is also an open source NoSQL Database System. This tool is built to offer web accessibility which supports a variety of devices. Data here is stored in JSON format, and organized into key-value pairs which are similar to the MapReduce format.

Allows you to run a single logical database server. This server can be run on any number of virtual machines

CouchDB tool also provides interaction with external tools like HTTP proxy servers, load balancers, etc.

Authentication and Session Support is provided that ensures security and durability

The multi-node cluster allows you to save data efficiently and redundantly

4. ArangoDB

ArangoDB is another multi-model DBMS technology that is widely used. It supports three types of data models with a single database core and a single query language AQL. This query language is declarative which means it does not support create and drop commands but the language helps one to compare various data and their patterns by using one single query.

Features:

This tool is designed to create a multi-node database model which supports key/value pairs, document, and graphs

It can operate as a highly scalable database cluster for all data model

This distributed database can be run in one data center and the data can be replicated to another datacentre without disturbing the authenticity of the data

High-security features are installed in order to safeguard the data

5. PostgreSQL

PostgreSQL is a very popular and widely used open-source database management system. This alternative of MongoDB provides support for SQL for relational as well as JSON for non-relational queries. Hence it performs efficiently with both, structured and unstructured data.

Features:

Provides support for multi-version concurrency control

Efficiently uses client-server network architecture

Offers standby server and high availability in order to maintain the flow

Object-oriented model and ANSI-SQL2008 compatible tool

6. Cassandra

The Apache Cassandra is an ideal choice for the user if scalability and high availability are required and at the same time not affecting its performance. This alternate of MongoDB offers support for replication of data across multiple data centers. Hence providing with security and durability without compromising on the efficiency.

Data is replicated to multiple nodes to give a fault-tolerance system and ensure durability

Hence the network bottlenecks are reduced as every node in the cluster is separate and can function independently

Support for contracts and services from third parties can be made possible using this tool

Helps you to choose between synchronous or asynchronous replication for each update

7. IBM Cloudant

IBM Cloudant is another popularly used distributed database management system and Data here is stored in JSON format. It helps to store web and mobile apps which allow you to maintain data accessibility and availability at user’s convenience whenever required.

Features:

All data nodes are deployed on clusters which are distributed across all the zones hence reducing inter-dependability

A synchronized model that replicates readable & writable copies of data across multiple clusters to maintain durability

Enhances the apps with the key-value pairs, MapReduce, full-text search and queries that support geospatial data

Flexible JSON schema and powerful API that has compatibility with Apache CouchDB can be leveraged hence increasing the efficiency.

8. Cockroach DB

Cockroach DB is a distributed open source SQL database that is developed by Cockroach Labs. It is an open source project which was highly inspired by Google Spanner. It has inherited many functions from the same.

Features:

Scalability, distributed SQL system with ACID transactions are the basic features

Ensuring that the user’s scaling business-critical applications which are always available and correct is a very important feature of this tool

Offers support for containerized deployments

Multi-datacenter and multi-region deployments

Even though MongoDB has many features that are useful in many use cases, it is important to understand one’s business requirement before choosing a DBMS. One should always consider various tools available, functions and features offered and compare them according to the business use case. Only then zero down to the final decision.