MongoDB Reviews

Name: MongoDB
Brand: MongoDB
Rating: 4.1 (78 reviews)

Vendor: MongoDB

4.1 out of 5

78 reviews
92% willing to recommend

760 followers

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What is MongoDB?

MongoDB is a flexible and scalable NoSQL database solution that efficiently handles both structured and unstructured data. It is known for its ease of use, JSON capabilities, and efficient data handling, making it ideal for developer-friendly environments.

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MongoDB is the #1 ranked solution in top NoSQL Databases, #5 ranked solution in top Open Source Databases, and #9 ranked solution in top Managed NoSQL Databases. PeerSpot users give MongoDB an average rating of 8.2 out of 10. MongoDB is most commonly compared to InfluxDB: MongoDB vs InfluxDB. MongoDB is popular among the large enterprise segment, accounting for 62% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 18% of all views.

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Featured MongoDB reviews

Hamidul Islam

Senior Consultant at Infosys

I used the solution in the production level to search data and create education-based tutorials for a project. We had 30 managers, senior architects, tech leads, and software engineers working on the project. Currently, I use the solution for my personal work. The solution has good flexibility…

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PawanSingh2

Director at Marsh

Some of the solution's transaction capabilities can be improved. Not much support is available on the transaction side. The size of the document that we can share is also limited. MongoDB also has sharding capabilities, but they are a bit complex. There is some issue with the replication of MongoDB across clusters. We're not able to replicate MongoDB.

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BIPIN SINGH

Senior Software Engineer at a computer software company with 10,001+ employees

The NoSQL structure, particularly the document-based data management, has made data management easier for me. MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial. MongoDB's document-oriented model improves development speed by providing each document with its built-in key or ID, similar to a primary key in relational databases. This inherent ID facilitates faster execution of operations, such as searching for specific documents. Additionally, it allows for creating additional indexes, further enhancing performance. The familiarity of JSON-like structure makes it easy for developers, both front-end and back-end, to work with, leading to quicker development and visualization of data. I advise others to understand the fundamentals of databases and how they store data. They should start with online videos to grasp the ecosystem, focusing on concepts like data storage. The document-oriented structure with binary objects is crucial for individuals with a programming background. Several limitations related to querying certain documents can be challenging. They express concerns about the lookup process, where we sometimes need to fetch a large amount of data simultaneously. Additionally, there are limitations regarding the size of documents, which may require restructuring or storing data. I rate it an eight out of ten.

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MongoDB mindshare

Product category:

As of March 2025, the mindshare of MongoDB in the NoSQL Databases category stands at 19.8%, down from 26.1% compared to the previous year, according to calculations based on PeerSpot user engagement data.

NoSQL Databases

PeerAnalyst reports based on MongoDB reviews

Type	Title	Date
Category	NoSQL Databases	Mar 4, 2025	Download
Product	Reviews, tips, and advice from real users	Mar 4, 2025	Download
Comparison	MongoDB vs ScyllaDB	Mar 4, 2025	Download
Comparison	MongoDB vs Microsoft Azure Cosmos DB	Mar 4, 2025	Download
Comparison	MongoDB vs Cassandra	Mar 4, 2025	Download

Title	Rating	Mindshare	Recommending
InfluxDB	3.9	10.7%	100%	9 interviews Add to research
Cassandra	4.0	11.5%	91%	23 interviews Add to research

Valuable Features

MongoDB offers fast, flexible, and scalable NoSQL capabilities. Users highlight its open-source nature, ease of use, JSON format support, and robust aggregation framework. The document-based model and sharding enhance data management. It provides efficient security features, high availability, and seamless integration with cloud services like Atlas. Users value its capability for large datasets, rapid queries, and minimal setup time. Community support and detailed documentation contribute to its appeal and effectiveness.

"It's easy to use."
"The most valuable feature of MongoDB is the predefined functions available when using Node.js. These functions simplify the query process, making it user-friendly and straightforward."
"The most valuable features of MongoDB include the flexible schema for storing data, its replication capabilities with high availability through a replica set setup, and horizontal scalability using sharding."

Room for Improvement

MongoDB requires enhancements in security, usability, and documentation. Integration with enterprise systems and BI tools needs improvement, while better indexing and aggregation frameworks are desired. The complexity of transactions, joins, and cluster management can be challenging. Cost is a concern, as is performance and stability. Updating the documentation and providing more training resources would be beneficial to users transitioning from RDBMS. Improved search functionality and cloud integration are also areas for enhancement.

"The stability could be better."
"At the start, connecting to the database via Compass or through a direct ID was a challenge."
"There was a need for integrating relational database capabilities, however, MongoDB has introduced a relational converter that allows conversion between SQL and NoSQL."

ROI

Several users expressed varied outcomes regarding ROI from MongoDB. Some noted minimal returns and ongoing adoption efforts, while others reported substantial gains, citing improved performance by up to ten times. Certain users highlighted cost savings through the MongoDB community version. A few individuals indicated uncertainty or a lack of knowledge about investment aspects. Overall experiences differed, with some emphasizing fair returns and others reporting significant financial benefits or no observable impact.

Pricing

MongoDB offers a cost-effective solution compared to Oracle, especially for enterprises utilizing its open-source community edition, which is free. However, subscription plans for cloud or on-premises deployments are available and may incur costs. The enterprise version provides advanced features and support, but some users find it expensive. Pricing is often deemed reasonable, though support and additional features might raise the overall price. Overall, enterprise buyers have observed MongoDB as a stable option with varying licensing costs.

"The pricing is normal. Price-wise, the product is not too much expensive."
"The product is affordable."
"MongoDB is an open-source product."

Popular Use Cases

Organizations use MongoDB for diverse applications including IoT platforms, development, monitoring public services, and data streaming. It is employed for healthcare applications, Desk-Tooling, payment card profiling, and a data exchange platform. MongoDB supports big data analysis, business process management systems, and capital market applications, acting as a storage engine for mobile apps, websites, and ERP systems. Users utilize it for unstructured databases, document-based databases, personal projects, and data retrieval, appreciating its scalability, flexibility, and performance benefits.

Service and Support

MongoDB's technical support is generally well-received, especially for those with paid subscriptions. Users find the community support robust, offering solutions through forums and documentation. Many rely on their own technical teams or community resources rather than contacting MongoDB directly. Paid users often describe the support as helpful, responsive, but vary in speed. The community edition lacks direct technical support, and some find external consultants useful. Users appreciate the support received during complex tasks like data validation.

Deployment

Users found MongoDB's initial setup straightforward and quick. Many highlighted its simplicity compared to SQL databases. Deployment on Linux servers and integration with Kubernetes or Docker proved efficient. Users noted that minimal maintenance was required, often by a single person. While some faced challenges with migration processes or initial connectivity issues, community support and documentation were helpful. Experience levels affected ease of use, with beginners needing time to adapt.

Scalability

MongoDB is widely regarded as highly scalable, able to handle large datasets, numerous users, and integration with applications across regions. Most users find it scalable for both internal and widespread use, with features like sharding enhancing its scalability. Some users mention architecture limitations or the need for additional adjustments, but it efficiently accommodates growth needs. It generally scores high on scalability, indicating users' satisfaction in diverse environments.

Stability

MongoDB is frequently deemed stable by users, with no significant issues or crashes reported. Many praise its reliability and performance under normal circumstances. Some mention it has better cloud stability compared to on-premise. Users rate stability highly, although a few note challenges during high-volume queries or large data requests. Bugs are present but manageable, and appropriate maintenance is crucial to keep it stable. Stability ratings generally range from seven to ten out of ten.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our MongoDB Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Financial Services Firm

18%

Computer Software Company

14%

University

Manufacturing Company

Government

Comms Service Provider

Retailer

Educational Organization

Healthcare Company

Insurance Company

Media Company

Real Estate/Law Firm

Energy/Utilities Company

Non Profit

Legal Firm

Construction Company

Hospitality Company

Outsourcing Company

Transportation Company

Pharma/Biotech Company

Performing Arts

Wholesaler/Distributor

Consumer Goods Company

Logistics Company

Aerospace/Defense Firm

Recreational Facilities/Services Company

Compare MongoDB with alternative products

Learn more about MongoDB

MongoDB stands out with features like sharding, geospatial indexing, and its open-source nature. Users find it fast and appreciate its seamless integration into different applications. Despite being powerful, it remains straightforward to set up and use, bolstered by a clustering and aggregation framework that enhances its functionality. While generally appreciated for its cost-effectiveness and broad application compatibility, there is room for improvement in security, enterprise integration, and the creation of more robust training and documentation resources. Enhancing performance and adding support for traditional relational database concepts could also prove beneficial.

What are MongoDB's most important features?

Scalability: Efficiently manages growing data volumes.
Flexibility: Supports structured and unstructured data with ease.
Sharding: Distributes data across multiple servers.
Geospatial Indexing: Enables location-based data handling.
Open-source: Wide community support and customization.

What benefits or ROI should users look for?

Cost-effectiveness: Reduces overall database management expenses.
Ease of Use: Simplifies database setup and maintenance.
Developer-friendly: Accelerates application development with supportive tools.
Scalable Solutions: Adapts to evolving business requirements.

MongoDB finds widespread application across industries like healthcare, logistics, and telecommunications. It efficiently powers IoT platforms, data analytics, and document management systems. Its schema flexibility and JSON storage capabilities make it ideal for real-time processing and multi-server databases, essential for handling large-scale data volumes in modern applications.