MongoDB Reviews

304 Ratings
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Score 8.2 out of 100

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Reviews (1-25 of 64)

Gregory Pecqueur | TrustRadius Reviewer
Score 10 out of 10
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Likelihood to Recommend

Modern web and mobile applications developed entirely in Javascript ( Node.js, Angular, or Vuejs or Emberjs.) are particularly interested in using MongoDB as a database. It is very easy to develop an API to manage the database accesses in an optimal, fast and secure way.
Loopback.js is a good starting point to get an idea of the potential of this environment.
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Russell Gomez | TrustRadius Reviewer
Score 8 out of 10
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Likelihood to Recommend

I believe any startup or any business with a rapidly changing data schema would benefit from using a no-SQL database in general. Analytical and traditional reporting can be difficult to do out of MongoDB or any no-SQL database because the SQL capacity is pretty limited.
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Duncan Hernandez | TrustRadius Reviewer
February 26, 2020

Fast, easy to use!

Score 8 out of 10
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Likelihood to Recommend

The tool is very easy to set up and start developing right away. I found it extremely simple to start utilizing in a short period of time. Mongo is more suited for people not concerned with back end logic as there is no joining like in a typical relational database scenario. However that could cause disruption to the people used to seeing relational databases.
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Gene Baker | TrustRadius Reviewer
Score 10 out of 10
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Likelihood to Recommend

MongoDB is very flexible, and high performing. I have evaluated a number of NoSQL databases and have found MongoDB to be the best overall. Aggregation pipelines took a little bit of practice to learn but once I got the hang of it, I realized how they could be used to solve problems easily.
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Chi Anh La | TrustRadius Reviewer
Score 9 out of 10
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Likelihood to Recommend

MongoDB supports JSON Schema data with the most complete NoSQL query framework among all NoSQL databases. The shard cluster is well designed for large applications with multiple concurrent users. It is best suited for applications that store data mostly for reading and reporting. But it will be improved towards applications with more write operations as well in future when transaction are supported on shard cluster (expected in version 4.2).
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Thuvaragan Amarasingam | TrustRadius Reviewer
Score 6 out of 10
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Likelihood to Recommend

MongoDB using JSON like documents in a database system. Also, it's an open source software. Its very flexible compared with other database related software. It helps to store a very large amount of data perfectly. It provides high performance, availability, and scalability. It's a NoSql database.

But the main disadvantage of this product is we can't use it for transaction functionalities.
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Sagiv Frankel | TrustRadius Reviewer
Score 6 out of 10
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Likelihood to Recommend

MongoDB would be ok if you're starting from scratch with a very small team and want to gradually build your product (specification is in flux) along with continually learning, optimizing and monitoring your database (something one should probably be doing anyway). It also might be good if your system has little need for consistency and you can afford nesting documents and data duplication. For any other use case, like a big team with defined complex specifications or a high need for consistency, you will probably end up with a mess.
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Rounak Jangir | TrustRadius Reviewer
Score 9 out of 10
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Likelihood to Recommend

MongoDB is very much well suited if you are storing raw data. Also, it can be easily integrated into the Hadoop big data ecosystem, so it is useful if you have a large amount of data. Scalability is another amazing feature of this database system. But MongoDB will not perform well if you have a use case where you have to update your data very frequently. In case of frequent updates, Cassandra will be a better option.
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Anonymous | TrustRadius Reviewer
Score 9 out of 10
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Likelihood to Recommend

This product is well suited if your need is to use a fast distributed DB with semi structured data and your semantics are not well predefined. It's also useful for building apps requiring real-time responses and fast deployment with ease of maintenance.
I wouldn't recommend you use it for any scenarios where it's beneficial to normalize the data.
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Anonymous | TrustRadius Reviewer
Score 10 out of 10
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Likelihood to Recommend

I think that MongoDB is the easiest and fastest database solution when starting any new project. Unless the project has a clear need for a relational setup from the beginning, it just feels a lot easier and faster to work with MongoDB. Scenarios where it's less appropriate would mostly be those that need the features of a relational (ex: SQL) database. Even then, we like to use MongoDB as a primary database and use SQL only for the aspects of the application that are better suited to it.
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Anonymous | TrustRadius Reviewer
Score 9 out of 10
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Likelihood to Recommend

If you have a large amount of unstructured data, (like NoSQL), to be read or written in a short amount of time, MongoDB is a great choice for this. Its structure well secures the data from being lost. It has good scalability to handle an increasing amount of data. It has a well-supported team to help you set up and maintain the cluster. Overall, it is a good choice to use for a NoSQL database.
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Anonymous | TrustRadius Reviewer
Score 9 out of 10
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Likelihood to Recommend

In case if you have less budget, go for this tool as it's free. Also, if you want to work with JSON Schema or file system, I will recommend this tool. In case budget is not concern, I will recommend SQL server or OracleDB.
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Ronald Melendez | TrustRadius Reviewer
Score 9 out of 10
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Likelihood to Recommend

Mongo DB is better placed in large projects, with great scalability. It also allows you to work quite comfortably with projects based on programming languages such as javascript angular typescript C #. I believe that its performance is much better with the type of technologies that handle very logical, similar terms of programming. If we use languages like java php, for example, it is better to work with relational databases like postgres or mySql. Since this type of technology allows you to work better with database management frameworks much more agile for these environments, such as JPA, HIBERNATE, Oracle, I think they are much better with this type of architecture and programming languages.
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Gabriel Samaroo | TrustRadius Reviewer
Score 10 out of 10
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Likelihood to Recommend

If you need a database that can store and handle unstructured data very easily and that is performant, MongoDB is a great solution. It is very easy to set up and has a large community of users. Mongo can integrate with all of the major languages (ie: Java, Python, etc.). If you need to store very complex, structured data that needs to be related, a traditional relational DB might be a better option.
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Bill Hefty | TrustRadius Reviewer
Score 8 out of 10
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Likelihood to Recommend

It is very easy to get started using MongoDB, and getting a data schema created via Mongoose if using Node.JS is pretty simple as well. For small beginner projects, something like Firebase may be easier to get running and simpler to deal with for reads/writes, but for more advanced control and a more structured approach, MongoDB is a great solution.
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Brett Knighton | TrustRadius Reviewer
Score 9 out of 10
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Likelihood to Recommend

This really comes down to need. I would have to look at the specific use case and decide if Mongo would be a good recommendation. Mongo does a lot of things really well, is easy to work with, and has fantastic documentation. However if transactions for example were a requirement within you application I wouldn't be able to recommend Mongo.
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Anonymous | TrustRadius Reviewer
February 23, 2019

MongoDB Review

Score 8 out of 10
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Likelihood to Recommend

Amongst situations where the data being modeled is not well structured, using a NoSQL database — and using MongoDB in particular — may be a great choice. While Mongo *does* let you get away with less structure, you must be aware that less structure is not always the correct development avenue to take. Not having to manage a database schema does not necessarily make your development speed any faster.
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Anonymous | TrustRadius Reviewer
Score 9 out of 10
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Likelihood to Recommend

MongoDB is a well developed, commercialized product. There are other products which can be good choices, but MongoDB is a safe choice since it was already validated in the market by many customers. Which means, for any general purpose, it will fit in to some extent. In our project, the problem was extensibility to larger scaled genomics information that may require big data management functions. MongoDB is excellent when it is for a small project, but it is also well supported as the project and size of data to be managed grow.
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Anonymous | TrustRadius Reviewer
Score 7 out of 10
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Likelihood to Recommend

It depends on what your project is. If you're doing some crazy data analytics where it might be useful to have a giant pool of relatively unstructured data that needs to be piplined into some kind of visualization, then MongoDB might be a good idea. If you want to create a database with structure and a well-defined schema, well, then you need to look elsewhere.
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Joshua Weaver | TrustRadius Reviewer
Score 8 out of 10
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Likelihood to Recommend

If you are a small development company or don't have access to experienced DBA folks, MongoDB can be a good choice for the developer to take the data by the horns.
MongoDB is easy to handle when it comes to migrations because of its schemaless nature.
It can help you get to market faster because you're not spending a ton of time with dev ops and organizing data structures. You can iterate pretty easily. I would say it's a good choice for most web apps, but you might run into restrictions on certain data queries that MongoDB just can't do as efficiently as a relational database.
It can also be hard for some folks coming from a relational data model background. The idea of denormalized or redundant data can feel dirty to some. But the speed and performance in development and execution appear to make up for those faults.
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Jon Kern | TrustRadius Reviewer
Score 10 out of 10
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Likelihood to Recommend

For most every basic web app that I have developed, MongoDB is well suited. I find it hard to imagine scenarios where it would not be...For apps where we have dynamic, user-controlled attributes, MongoDB makes this really easy. I would imagine MongoDB might be least appropriate for teams not interested in trying to learn a NoSQL approach. Try a skunkworks project then...
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Feature Scorecard Summary

Performance (24)
9.0
Availability (24)
8.8
Concurrency (24)
8.5
Security (24)
8.3
Scalability (24)
8.9
Data model flexibility (24)
9.3
Deployment model flexibility (24)
8.9

About MongoDB

MongoDB (from "humongous") is an open source document-oriented database system developed and supported by 10gen. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.

According to the vendor, organizations from cutting-edge startups to the largest companies use MongoDB to create applications never before possible at a fraction of the cost of legacy databases. The vendor says MongoDB is the fastest-growing database ecosystem, with over 10 million downloads, thousands of customers, and over 1,000 technology and service partners.

MongoDB Features

Has featureComprehensive monitoring for full-performance visibility
Has featureAutomated database management for 10-20x more efficient ops
Has featureFully-managed backup for your peace of mind

MongoDB Screenshots

MongoDB Integrations

MongoDB Competitors

Pricing

  • Has featureFree Trial Available?Yes
  • Has featureFree or Freemium Version Available?Yes
  • Does not have featurePremium Consulting/Integration Services Available?No
  • Entry-level set up fee?No

MongoDB Technical Details

Deployment Types:SaaS
Operating Systems: Unspecified
Mobile Application:No