MongoDB Software Review (Features and Pricing)

Last updated on by Editorial Staff

Do you need help finding the right large-scale data storage solution for your business? Look no further – MongoDB provides comprehensive and reliable software tailor-made to meet your needs! Save time, money, and energy with this powerful tool.

MongoDB is a powerful, open-source data storage software with various features and capabilities. It provides a document-oriented data model, allowing organizations to store data flexibly and dynamically.

This post will provide you with sufficient knowledge of MongoDB’s features, pricing, pros, and cons.

More about MongoDB

MongoDB Atlas’ document model enables developers to store data as JSON-like objects resembling application code objects.

With this Atlas, you can use the tools and languages you prefer. For example, you can manage your clusters with MongoDB CLI for Atlas or IaC (Infrastructure as Code) tools like Terraform or CloudFormation.

It also offers automated clustering, sharding, and replication, making it easy to scale up or down as needed.

Furthermore, this software provides advanced security features such as role-based access control, auditing, and encryption to ensure data remains secure. With its powerful features and flexibility, this software is one of the best solutions for large-scale data storage needs.


1. MongoDB Atlas

Atlas is a set of cloud databases and data services that makes it faster and easier for you to work with data.

Overview of MongoDB Atlas
MangoDB Database Atlas


MongoDB’s cutting-edge multi-cloud database service is designed to keep your data secure and private while providing the resilience, scalability, and peace of mind you need.

It is an advanced cloud database service with data distribution and mobility across AWS, Azure, and Google Cloud that is unmatched. There is also built-in automation for resource and workload optimization and more.

  • Run the application from anywhere
  • Build operations confidently
  • Reduce architectural complexity
  • Focus on shipping features
  • Multi-region, multi-cloud
  • Secure data with built-in defaults
  • Automated data tiering
  • Serviceless and elastic
  • Continuous backup


Create quick, relevant search experiences directly with ease. No need to add a separate engine anymore. Atlas Search is a platform that combines a database, search engine, and sync mechanism. This makes it faster and easier to build relevance-based search capabilities directly into applications.

  • Simplified and advanced search
  • Build search directly in MongoDB Atlas
  • Remove heavy operational lifting
  • Autocomplete
  • Fuzzy search
  • Fast faceting
  • Custom scoring
  • Visual editor


Chart unlocks the power of your data with interactive, insightful dashboards and visualizations – keep track of key metrics in real-time. Charts are the best tool to use to visualize data from MongoDB Atlas. Charts make it quick and easy to see your data powerfully.

  • Quick, easy, and real-time business insights
  • Make decisions for complex data with less effort
  • Embedded analytics
  • Embed via iframe or SDK
  • Collaborate security
  • Chart for visualizing JSON

Data lake

Atlas Data Lake is a storage solution designed to be efficient for analytical queries while still being affordable. Gain fast insights with a budget-friendly storage system intended for top analytics performance.

  • Optimized for analytical queries
  • Cost-effective
  • Integrated and managed with Atlas MongoDB

APIs, Triggers, functions

Forge powerful connections between your data and services so you can create incredible applications with no fuss. You can use Atlas to quickly create and run apps that are ready for production. Atlas provides cloud services such as Functions, Triggers, and APIs to make this easy.

  • Run code without the operational overhead
  • Build event-driven applications
  • Integrate apps and services in the cloud
  • Sync data across devices in real-time

Device synchronization

MongoDB Keeps your data in sync across the board. Ensure that all devices, users, and backend systems stay up-to-date for a smooth digital experience.

Atlas Device Sync accelerates application development while ensuring that your end-user experience on mobile devices is responsive and performant, regardless of connectivity.

Projects of MongoDB
  • Shortcut for building real-time sync
  • Apps work intended anywhere.
  • Serviceless sync architecture
  • Intuitive query-based sync
  • Lightweight local data storage

Atlas CLI

Unleash the power of MongoDB Atlas management from your terminal – design, manage, and optimize databases with ease.

Data federation

Utilize Atlas and AWS to quickly gather, interpret, and consolidate data for your business needs. Make the most of all available resources with a streamlined approach.

Enterpeise advance Product

MongoDB Enterprise is a set of products and services that help you secure and manage your MongoDB databases.

  • Operational visibility and control
  • Data and business protection
  • Enterprise garage support
  • Enterprise server
  • OPS manager
  • Enterprise operator for Kubernetes
  • BI connector
Organizations of MongoDB


MongoDB Atlas

  • Serviceless: From $ 0.1million reads
  • Dedicated: From$57/per month( Estimated $ 0.08 per hour)
  • Shared: Free

2. MongoDB Community Edition

This version of distributed document database provides powerful ways to query and analyze your data. That means you can ask questions about your data and get results that help you understand what it means.

Community Server MongoDB

3. MongoDB Enterprise Edition

Commercial licenses and on-demand training are available. Contact the vendor for more details.


Install MongoDB with Tutorials.

Industrial Support

  • Financial services
  • Telecom
  • Healthcare
  • Retail
  • Public sector and many more

Pros and Cons


  • Quarry performance in this software is much better 
  • It is more simple and much easy to understand
  • It has a flexible data model.
  • Reliable scalability
  • It uses a sharding while handling large-scale data
  • Documentation is easy to understand for new users


  • It does not support transactions.
  • Joining documents in MongoDB takes work. Even though 3.2 introduced left-outer joins, it can still be difficult to join documents.
  • High speed is only possible with the right index, slow in shoddily implemented indexes.
  • Hard to handle duplicate data
  • Limited data size and nesting
  • High memory usage


MongoDB is one of the best data storage solutions for large-scale data needs. It provides a document-oriented data model, automated clustering and sharding, advanced security features, and scalability, making it an ideal solution for businesses of all sizes.

Its powerful features offer organizations a comprehensive, secure, and cost-effective solution to meet their large-scale data storage requirements.