MongoDB

MongoDB

About TrustRadius Scoring
Score 8.6 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

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 7 features
  • Availability (38)
    9.4
    94%
  • Performance (38)
    9.1
    91%
  • Security (38)
    8.6
    86%
  • Concurrency (38)
    8.3
    83%

Reviewer Pros & Cons

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Video Reviews

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Pricing

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Shared

$0

Cloud
per month

Serverless

$0.10million reads

Cloud
million reads

Dedicated

$57

Cloud
per month

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://www.mongodb.com/pricing

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

Starting price (does not include set up fee)

  • $0.10 million reads
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Features Scorecard

NoSQL Databases

9.0
90%
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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

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MongoDB Video

MongoDB Integrations

MongoDB Competitors

MongoDB Technical Details

Deployment TypesSaaS
Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

MongoDB starts at $0.1.

Couchbase and Apache Cassandra are common alternatives for MongoDB.

Reviewers rate Scalability highest, with a score of 9.5.

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

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Reviews

(1-25 of 78)
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July 26, 2022

Why is MongoDB good

Mehmet Fatih Onal | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • We preferred the application because it stores documents in a JSON-like format. No need for extra format conversion.
  • Allows changes to the structure of documents and stores partially completed documents. The recorded data can be read very easily.
  • Can be user friendly. While it is very easy to create indexes in other database applications, it is a bit cumbersome to do this in Mongo.
  • The difficulties that we do not encounter when working with much larger data on MS SQL make us very difficult when working with fewer data in mongo due to the in-memory feature.
  • Since MSSQL does not have the unlock feature, it causes writing conflicts while reading and writing data at the same time.
Kendal Droddy | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • Very simple with easy to learn and understand syntax.
  • Offers great flexibility as their is no predetermined schema.
  • Scalable - handles all our our data very effectively even as we scale up.
  • Data duplication can be a problem - have to make a concerted effort to avoid this.
  • Memory usage can be an issue depending on infrastructure.
  • Certain commands that may work well in something like MySQL may not in MongoDB, such as join commands.
January 17, 2022

Oleg's MongoDB review

Oleg Chumin | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • MongoDB is highly scalable.
  • Reads and writes much faster than SQL.
  • What is done on Mongo is as simple and clear as possible.
  • Requirement from the application in a highly scalable database.
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • Reads real-time data very accurately and fast.
  • Syntax are so easy to learn and understand
  • Connection with the other tools through API's is also pretty simple.
  • Storing any type of data by creating personal data types.
  • Live streaming data processing is very fast.
  • Some basic statistical functions are there but we can apply high analytics models in it.
  • If the data is of similar type then it is very difficult to remove the same comments.
  • In the cloud environment sometimes it works very slow. Depends on the cloud source as well.
  • Sometimes it stucks, if columns are defined enough and data has some missing info as unstructured data can be of any type.
  • Sometimes very difficult to apply functions on the data types for that huge research is required.
Balázs Kiss | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • Document-based information storing and retrieving.
  • Indexing and querying small documents from a big heap of files.
  • Integrating with JS-based backend.
  • By design, joined collections tend to be much slower than in relational DB.
  • Some kind of relational model support.
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • Scaling and replication.
  • Easy to develop with.
  • Good support by many cloud vendors.
  • Good tool support, such as MongoDB Compass.
  • Query becomes more complex when your data starts to have relations.
  • The aggregation framework has a bit of learning curve.
  • Being schema-less can sometimes lead to bad data modeling designs.
  • If you need to change the name of an attribute (i.e. column name of a table for SQL), it can become tricky.
Score 8 out of 10
Vetted Review
Verified User
Review Source
  • Flexible
  • Fast and easy to use
  • Open source
  • Free
  • İndexing is easy
  • No joins
  • Administrator GUI
  • Documentation can be more useful
  • Not ACID Compliant
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • Simple structure, easy to understand how it works.
  • Easy to integrate with cloud providers.
  • Writing queries is easy to get started with.
  • When more complex queries are needed, they are more difficult to write than SQL equivalents.
  • Getting used to the aggregation framework takes some effort.
  • Upgrading between versions has required some additional work from developers in the past.
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • Robust and Out of the box DB
  • Mongo Compass Integration provides a sweet GUI for users
  • Well optimized No SQL DB
  • Great Community support
  • Sometimes queries are tricky to execute
Jose Manuel Ortega | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
  • Load balancing and data replication
  • Indexing and Document validation
  • Support for different programming languages and integration with different frameworks
  • Good query performance
  • Not the best solution for applications with complex transactions and many parallel operations
  • It is not an optimal solution if the application needs to update the database frequently.
  • Usually requires more disk space
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • The BSON-based document storage models allow for sophisticated data modeling.
  • Flexible MongoDB collection schemas allow for the storage of polymorphic records and easy migrations.
  • MongoDB has readily adopted popular database concepts like change streams and graph queries.
  • MongoDB will start to struggle with very large datasets even when well-indexed.
  • Complex aggregation queries can be tricky in MongoDB when compared with an SQL-based database.
  • Scaling a Mongo database can be expensive.
Gregory Pecqueur | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • Mongo DB is free for commercial use
  • MongoDB is very fast for data processing.
  • Very easy to learn and use.
  • JSON responses are particularly handy in a full-stack Javascript environment.
  • A more user-friendly user management tool would be a good thing.
Chi Anh La | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • Horizontal scaling with shard cluster
  • Helpful documentation
  • New and meaningful features in yearly releases
  • Aggregation framework for reporting application
  • Transaction not supported on sharded collection
  • Documentation is complete but not well structured
  • Support for MongoDB customers should be improved
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • Extremely fast reads and writes if using the right indexes
  • Built-in aggregation function for on-demand computations
  • Ability to use any cloud provider for implementation. Even their own Atlas service is pretty good and affordable.
  • If installing it on-prep or on your own account in a public cloud, it can be a daunting experience.
  • Their aggregation functions still have room for improvement.
  • Native operational reporting functionality is a bit quirky and you have to pay for it separately. This should come built in and free.
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • Ease of use and familiarity, particularly for Javascript developers
  • Community, support, and tooling are readily available
  • Design with NoSQL in mind and you'll wonder why you ever needed relational features
  • Great query language
  • Complex querying. Aggregation could be better explained and a bit clearer
Sagiv Frankel | TrustRadius Reviewer
Score 6 out of 10
Vetted Review
Verified User
Review Source
  • Easy to set up locally and on different SAAS providers (Compose.io and then MongoDB atlas).
  • Being schema-less helped with having a rapid pace of development as there where many schema changes.
  • Full stack developers on a NodeJS server could get started very fast as the API was familiar and relatively simple.
  • Very hard to tell how to best structure your data and then effectively query it. Most of the time this led to just splitting everything into different collections and joining them on the application server or the client which was slow and hard to maintain.
  • Documentation is not friendly and confusing.
  • No real joins and complex querying is unclear.
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • Durability. MongoDB has a cluster structure ensures that data will endure without losing it. The primary-secondary-secondary structure is the key to preserve data.
  • Fast response. MongoDB responds to request in milliseconds which is very fast for data processing.
  • Price is fair. For the amount of money we spent, the product serves us well.
  • I understand the P-S-S structure is meant to be secure but sometimes I feel in some places it is redundant.
  • For more complex queries, it can be hard to work with.
  • The document is kind of not up to date.
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