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MongoDB

MongoDB

Overview

What is MongoDB?

MongoDB is an open source document-oriented database system. 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…

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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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Product Demos

MongoDB Change Streams: The Hidden Gem within the MongoDB Repertoire

YouTube

MongoDB & Tableau FAA Demo

YouTube

NoSQLMap MongoDB Management Attack Demo

YouTube

Intro to MongoDB with C# - Learn what NoSQL is, why it is different than SQL and how to use it in C#

YouTube

MongoDB with Python Crash Course - Tutorial for Beginners

YouTube
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Features

NoSQL Databases

NoSQL databases are designed to be used across large distrusted systems. They are notably much more scalable and much faster and handling very large data loads than traditional relational databases.

10
Avg 8.8
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Product Details

What is MongoDB?

MongoDB is an open source document-oriented database system. 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.

MongoDB's flagship Enterprise Advanced edition is a collection of products and services that drive security, efficiency, to put users in control of MongoDB Databases. These include:

  • MongoDB Enterprise Server - the commercial edition of MongoDB, which includes additional capabilities such as in-memory storage engine for high throughput and low latency, advanced security features like LDAP and Kerberos access controls, and encryption for data at rest. Enterprise Server is included with the MongoDB Enterprise Advanced subscription, which includes expert assistance and tools. Or, the MongoDB Enterprise Server is also available free of charge for evaluation and development purposes.
  • MongoDB Ops Manager - Tools for managing MongoDB in a secure, on-premise or owned environment. Available through the MongoDB Enterprise Advanced subscription, Ops Manager eliminates operational overhead by automating key administration tasks such as deployment, and upgrades. Tools also support monitoring with visualization of performance metrics, continuous or point-in-time incremental backup, and query optimization with the Visual Query Profiler.
  • MongoDB Enterprise Kubernetes Operator - Kubernetes Operators are application-specific controllers that extend the Kubernetes API to create, configure, and manage instances of stateful applications such as databases. On self-managed infrastructure – whether on-premises or in the cloud – Kubernetes users can use the MongoDB Enterprise Operator for Kubernetes and MongoDB Ops Manager or Cloud Manager to automate and manage MongoDB clusters.

MongoDB is available as a managed cloud solution via MongoDB Atlas. But MongoDB Enterprise Advanced offers advanced access control and data security features to protect on-premise or private cloud databases, and satisfy compliance or customer requirements. It’s also designed to make it easy to integrate MongoDB with any existing security infrastructure and tooling.


Organizations from startups to the largest companies can use MongoDB's capabilities to create applications never before possible at a fraction of the cost of some legacy databases. The MongoDB database ecosystem boasts over 10 million downloads, thousands of customers, and over 1,000 technology and service partners.

Also, the MongoDB Community Edition is licensed under what the company provides as the Server Side Public License (SSPL), which is based on the GPL v3. All MongoDB Community Server patch releases and versions released on or after October 16, 2018, will be subject to this new license, including future patch releases of older versions. The Community version of the distributed database offers a document data model along with support for ad-hoc queries, secondary indexing , and real-time aggregations to provide ways to access and analyze data.

MongoDB Features

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

MongoDB Screenshots

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MongoDB Video

What's New in MongoDB 7.0 Explained in 3 minutes

MongoDB Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

MongoDB is an open source document-oriented database system. 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.

MongoDB starts at $0.1.

Couchbase Server, Azure Cosmos DB, and Amazon DynamoDB are common alternatives for MongoDB.

Reviewers rate Performance and Availability and Concurrency highest, with a score of 10.

The most common users of MongoDB are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(437)

Reviews

(1-5 of 78)

MongoDB: easy to use, easy to shot yourself in the foot

Rating: 6 out of 10
March 14, 2019
SF
Vetted Review
Verified User
MongoDB
2 years of experience
MongoDB was our main data store used primarily by a web application managing classical relational entities as well as some big data and analytics collection data. Even though no one on the team had much DB experience MongoDB was easy to use and integrate. However, we faced many pitfalls along the way and the end result was far from optimal.
  • 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.
Cons
  • 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.
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.

Fast, easy to use!

Rating: 8 out of 10
February 26, 2020
DH
Vetted Review
Verified User
MongoDB
3 years of experience
MongoDB is currently being used to structure our databases and our primary querying tool. What is convenient about it is that you can change tables without writing lots of code. All data is stored in javascript, which is what all of our programmers use, so the gap between data analysis and our developers is lessened.
  • Schema-less database, which means easy to scale.
  • Easy indexing gives better query times.
Cons
  • Not a relational database. Lots of capabilities lost here.
  • No joins, which is new to me.
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.

Stable & Easy to Use

Rating: 8 out of 10
May 21, 2021
Vetted Review
Verified User
MongoDB
3 years of experience
MongoDB was our first NoSQL database usage. For this reason, we assigned it to an application that serves inside our IT infrastructure. As a result of our approximately 3-4 years of experience, we did not encounter any problems. It writes the data sent on it without any intervention and without any interruption, every second without stopping.
  • Flexible
  • Fast and easy to use
  • Open source
  • Free
  • İndexing is easy
Cons
  • No joins
  • Administrator GUI
  • Documentation can be more useful
  • Not ACID Compliant
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.

MongoDB: Easy and powerful

Rating: 8 out of 10
December 22, 2018
BH
Vetted Review
Verified User
MongoDB
2 years of experience
I have used MongoDB as the database of choice for a NoSQL implementation for various apps. Implantation with Node.JS and Express is very seamless and easy, particularly when using Mongoose. Dealing with a document based solution for a database makes it pretty easy to use in a full stack Javascript app without needing to flip mindsets.
  • Easy to run locally on a dev machine
  • Easy to integrate into a schema model via Mongoose
  • Document-based storage makes it easy to work within a full stack Javascript environment
Cons
  • Getting MongoDB installed locally can be a challenge
  • The CLI can be kind of confusing for beginners, but MongoDB Compass makes up for that
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.

If you want easy management and creation of database, MongoDB should be your choice

Rating: 8 out of 10
February 13, 2018
FM
Vetted Review
Verified User
MongoDB
4 years of experience
I work in the informatics department. We currently manage the databases of some banks in my country and the employees of the IBM branch in Venezuela. I believe that it facilitates the management of a large amount of information, which is why bank branches choose us as their operators.
  • Unlike relational databases, NoSQL databases are based on key-value pairs. MongoDB is the major NoSQL database.
  • Some types of NoSQL database stores include column stores, document stores, key values, graphics, objects, XML, and other data warehouse modes.
Cons
  • The interface is a little complicated to learn.
  • They could improve compatibility with other NoSQL databases.
  • I have had problems with data relationships when information is very large.
For databases that involve storage by document folders, MongoDB is ideal. Now, if a very large database is required, MongoDB can have problems because it is more complicated to call the data to avoid having to spend hours looking for them.
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