MongoDB

MongoDB

About TrustRadius Scoring
Score 8.5 out of 100
MongoDB

Overview

Recent Reviews

No data relations, go MongoDB!

9 out of 10
May 24, 2021
MongoDB is one of the main databases we use for our SaaS product. Its flexibility and ease to develop with allows our development team to …
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Stable & Easy to Use

8 out of 10
May 21, 2021
MongoDB was our first NoSQL database usage. For this reason, we assigned it to an application that serves inside our IT infrastructure. As …
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No relation, no worry

10 out of 10
May 08, 2021
Used as a database solution for a web application for storing all data needed. That means all user details, application configuration and …
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MongoDB is the way to go!

9 out of 10
May 07, 2021
MongoDB is our primary database our application runs on. We use it intensively for our application development and data warehousing. I …
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MongoDB: King of NoSQL

10 out of 10
April 19, 2020
So this the non-relational Database that we have internally. The reason for using this is because of the amazing scalability that this …
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Awards

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Popular Features

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Availability (36)

9.3
93%

Performance (36)

9.2
92%

Security (36)

8.8
88%

Concurrency (36)

8.2
82%

Reviewer Pros & Cons

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Video Reviews

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Pricing

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What is 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…

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  • No setup fee

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  • Premium Consulting / Integration Services

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Alternatives Pricing

What is Neo4j?

Neo4j is an open source embeddable graph database developed by Neo Technologies based in San Mateo, California with an office in Sweden.

What is IBM Cloudant?

Cloudant is an open source non-relational, distributed database service that requires zero-configuration. It's based on the Apache-backed CouchDB project and the creator of the open source BigCouch project. Cloudant's service provides integrated data management, search, and analytics engine designed…

Features Scorecard

NoSQL Databases

9.0
90%

Product Details

What is 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

  • Supported: Comprehensive monitoring for full-performance visibility
  • Supported: Automated database management for 10-20x more efficient ops
  • Supported: Fully-managed backup for your peace of mind

MongoDB Screenshots

MongoDB Video

MongoDB Integrations

MongoDB Competitors

MongoDB Technical Details

Deployment TypesSaaS
Operating SystemsUnspecified
Mobile ApplicationNo

Comparisons

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Frequently Asked Questions

What is MongoDB's best feature?

Reviewers rate Scalability highest, with a score of 9.7.

Who uses MongoDB?

The most common users of MongoDB are from Enterprises (1,001+ employees) and the Computer Software industry.

Reviews

(1-25 of 76)
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January 17, 2022

Oleg's MongoDB review

Oleg Chumin | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
MongoDB [is] great at storing JSON data grouped into "collections". In this format, you can store any JSON documents and conveniently categorize them by collections. The JSON document contained in MongoDB is called binary JSON or BSON and, like any other document in this format, is unstructured. Therefore, unlike traditional DBMS, any kind of data can be stored in collections, and this flexibility is combined with the horizontal scalability of the database. It should be noted that MongoDB does not have links between documents and “collections” (this is partially compensated by the Database Reference - links in the DBMS, but this does not completely solve the problem). As a result, a situation arises in which there is a certain set of data that is not related to other information in the database, and there is no way to combine data from different documents. In SQL systems, this would be an elementary task.
Score 10 out of 10
Vetted Review
Verified User
Review Source
This is a good tool in its category for reading real-time unstructured data. As my team works on understanding the sentiments of users over some products, initially we used SAS Text Miner but we were not getting those desired results as it was unable to process the real-time data.

The only major problem is that it is incapable of performing statistical analysis. Now as I am using it for streaming data for storage it working very much fine but some times if the logic is lengthy for defining data types then it will became tricky and hence then it becomes time consuming. Overall for unstructured data this tool will suits your requirement for sure.




Balázs Kiss | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
MongoDB is an excellent tool to start development fast on a smaller POC, or, to serve as a backend for storing raw json-based data as well. It can be used for emulating a relational database but its core strength is storing the redundant, non-BCNF data, and querying it. So if we have any of those, MongoDB can serve as the DB with a really fast initialization in the development process - but just as well as in production.
Score 9 out of 10
Vetted Review
Verified User
Review Source
If your use case does not require relation heavy data models or transactions that need to be ACID compliant, MongoDB can be a good option, especially if you are starting with a new project and need to prototype and validate your ideas quickly. Its schemaless design allows you to change your data models on the fly, which can often be the case for new projects. However, the key thing is making sure your developers can get their heads around how MongoDB works and the lack of SQL.
Score 8 out of 10
Vetted Review
Verified User
Review Source
We read data produced by a device in the network with a web API and take it on MongoDB. We also encrypt and compress text-weighted large data collected on MongoDB and extract it daily on a filing system. MongoDB preferred that for such applications because NoSQL structure gives more speed.
Score 10 out of 10
Vetted Review
Verified User
Review Source
It's a rather obvious choice when a decision has been make to start a new project and ending up not wanting to implement it with a relational database solution. MongoDB is well suited in storing all kinds of data an application might need, all you need to do is evaluate whether the application would benefit from a relational database or not.
Score 9 out of 10
Vetted Review
Verified User
Review Source
If you are looking for a no sql db then MongoDB is one of the best open source solution with a great community who can help you to solve any problems. It has a high availability and indexing is pretty fast as well. You may have to research a bit on your use-case before going for a nosql db but if it fits your use-case then it is very developer friendly. Integrates well with nodejs, python , java etc.
Jose Manuel Ortega | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
As a developer, the main reason for using MongoDB is its speed and its ability to add records with different fields to the same collection in a much more flexible way than a database based on a relational model. For example, a document can be used to represent a blog and the associated comments can be placed as an array in the main document. This makes data easier to manage, eliminating the "JOIN" operation that affects performance and horizontal scalability in traditional relational databases.

As for less favorable scenarios, they could be those applications that need to perform frequent updates with many transactions, for example bank transactions.
Score 10 out of 10
Vetted Review
Verified User
Review Source
So if you need a highly available database, which you can rely on since it has inbuilt replication and JSON format message, then MongoDB is the best way to go for it. It follows BASE if the databases are inconsistent if you are scaling over a large system. What it means is that it is not suitable for storing passwords. For that, make sure that you use ACID databases which are relational.
Score 9 out of 10
Vetted Review
Verified User
Review Source
Scenarios where MongoDB is well suited:
- When working with small/medium-sized dataset where speed and flexibility are priorities.
- When working with schema-less or polymorphic models that would be much harder to represent in a traditional RDBMS.
- More generally MongoDB makes sense as a place you'd store your business logic/frequently accessed data, not as storage for infrequently accessed long-term storage.

Scenarios where MongoDB is less appropriate:
- I wouldn't recommend using MongoDB as a caching service. It's more expensive than many databases that could be used where performance isn't a critical issue or long-term persistence is desired (e.g., compared with Datastore/Firestore/Dynamo/etc.), while it falls short of Redis when performance is critical or data need not be stored for long.
Gregory Pecqueur | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
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.
Russell Gomez | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
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.
February 26, 2020

Fast, easy to use!

Duncan Hernandez | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
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.
Gene Baker | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
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.
Chi Anh La | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
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).
Thuvaragan Amarasingam | TrustRadius Reviewer
Score 6 out of 10
Vetted Review
Verified User
Review Source
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.
Score 9 out of 10
Vetted Review
Verified User
Review Source
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.
Score 10 out of 10
Vetted Review
Verified User
Review Source
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.
Sagiv Frankel | TrustRadius Reviewer
Score 6 out of 10
Vetted Review
Verified User
Review Source
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.
Score 9 out of 10
Vetted Review
Verified User
Review Source
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.
Rounak Jangir | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
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.