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33 reviews
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MongoDB is a database management system that provides a range of features to help businesses grow by enabling faster and smarter creation. It offers a flexible document data model and a unified query interface for all use cases, allowing for faster development and iteration. MongoDB is cloud-managed, making it scalable and ideal for startups. It can be used for various transactional, analytical, and data virtualization applications. The platform can be run anywhere, anytime, even on a simple laptop. It also prioritizes data security with ISO/IEC 27 001 and HDS certifications. Many companies, including Bosch, Cisco, Toyota, and Humanitix, use MongoDB due to its performance and relevance.
Secure data storage
MongoDB offers high security for data storage, ensuring that your data is safe and manageable
Easy to learn
MongoDB is user-friendly and easy to learn, making it a great choice for beginners and experts alike
High performance
MongoDB is known for its high performance, speed, and efficiency, making it a great choice for managing large amounts of data.
Cloud solution
MongoDB's Atlas Cloud allows for easy integration of a single database across multiple apps, with user-friendly management and affordable cost
Document orientation
MongoDB's document-oriented nature makes it an excellent choice for handling various types of data needs, especially for applications that require a flexible schema
Issues with complex data
Some users have found that dealing with complex data can be difficult in MongoDB, particularly when it comes to updating collection indexing and managing memory usage
Inferior client tool
Some users have found the Compass client tool to be inferior compared to other database software tools, with most of the access to the collections being CLI-based.
Problems with Atlas Compass UX
Users have reported issues with the Atlas Compass UX, such as not being able to open multiple tabs with collections at the same time and losing search queries when switching between collections
Poor customer support
There have been complaints about MongoDB's customer support being non-existent or unhelpful, even for minor technical issues
Limited memory in the free version
Users have reported that the free version of MongoDB has limited memory, which can necessitate an upgrade for unlimited data insertion
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Integrated security
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More details about mongoDB plans
Starting Price
Free Plan
Yes
Find and view your data easily
Make your databases evolve with the demand
Automate your administrative operations
Integrated security
Deploy your data in different clouds
Premium
Boost your productivity with a database optimized for your applications
$500 in credits for 1 year
Save up to $500
Firebase and MongoDB are powerful platforms for managing databases, each offering valuable features that can significantly enhance your application's backend. However, there are several key differences to consider when deciding which is best for your project.
First is the architecture. Firebase is a Backend-as-a-Service (BaaS) platform that provides a real-time NoSQL database known as Firestore. It is designed to offer seamless data synchronization across clients, real-time updates, and integration with various Google services, making it ideal for developing mobile and web applications quickly. On the other hand, MongoDB is a NoSQL database that uses a flexible document-oriented model, which allows developers to store data in JSON-like documents. MongoDB excels in handling large volumes of unstructured data, complex queries, and providing scalability through sharding and replication.
When it comes to pricing, Firebase offers a pay-as-you-go model, starting with a free tier that...
mongoDB
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Developers working with Node.js
These users appreciate MongoDB for its simplicity when querying JSON-like data, making it a preferred choice for Node.js application development. However, they note that the non-tabular structure can complicate the application of joins using aggregation
Data Warehousing Professionals
These users have used MongoDB to build multi-node clusters for data warehousing and ETL tools. They acknowledge that while MongoDB has improved over time, it may not offer as robust backups as other databases like MSSQL and Oracle
Users managing large data entries
These users value MongoDB for managing websites with thousands of data entries. They appreciate its speed and simplification of object-oriented data storage, but note that its global adoption isn't as widespread as other databases, which can limit online resources.
Users dealing with variable length and semi-irregular data
These users find MongoDB to be a reliable solution for hosting incoming user data with variable lengths and semi-irregular formats. They appreciate its easy implementation and reliability, but note challenges with data visualization and connectivity with AWS VPC
Users needing a database for microservices applications
These users find MongoDB to be the top choice for microservices applications due to its scalability, user-friendliness, and integrations with popular programming languages. They caution that as a NoSQL database, it may be challenging for beginners
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mongoDB rating
Val Kunze
Effortless High Availability with MongoDB's Replication
The built-in replication feature gave us peace of mind by ensuring high availability and fault tolerance without complicated setup procedures.
July 28, 2025
Deangelo Ferry
User-Friendly Data Exploration with MongoDB Compass
MongoDB Compass is an intuitive graphical interface that our non-technical team members found very helpful for quick data exploration and visualization
July 21, 2025
Letisha Farrell
Managing Memory: Optimizing MongoDB Queries
One downside we faced was higher memory usage compared to relational databases, requiring us to optimize queries more carefully to maintain performance
July 14, 2025
Leland Zulauf
MongoDB's Geospatial Indexing Powers Our App's Location Features
MongoDB's geospatial indexing capabilities were instrumental in developing location-based features for our mobile app, providing accurate and fast query results
July 6, 2025
Gearldine Langosh
MongoDB Updates Boost Transaction Reliability
We encountered some challenges initially with transaction handling in earlier MongoDB versions, but recent updates have significantly improved reliability and consistency
June 30, 2025
Pasquale Heaney
MongoDB Boosts App Responsiveness with JSON Integration
The document-oriented design of MongoDB simplified our integration with JSON-based APIs, greatly enhancing our application's responsiveness
June 21, 2025
Lonnie Fadel
MongoDB Atlas: A Time-Saver with Automated Backups and Monitoring
MongoDB Atlas has streamlined our database management tasks, especially with automated backups and real-time monitoring features that saved us hours weekly
June 17, 2025
Bo Erdman
Effortless Scaling with MongoDB's Sharding
I appreciate the ease of horizontal scaling with MongoDB's sharding feature, which helped us smoothly handle increased traffic during peak seasons
June 7, 2025
Debbie Hegmann
Unlock Complex Data Insights with MongoDB's Powerful Aggregation Framework
The aggregation framework in MongoDB is incredibly powerful—allowing us to efficiently analyze complex datasets without needing external tools
June 2, 2025
Buford Conn
MongoDB Boosts Agile Development Efficiency
MongoDB's flexible schema structure made it easy for our team to adjust data models quickly during agile sprints, significantly reducing development time
May 26, 2025
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