MongoDB Professional, Scientific, and Technical Services Reviews & Insights

Score8.6 out of 10

437 Reviews and Ratings

Community insights

TrustRadius Insights for MongoDB are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.

Business Problems Solved

MongoDB has emerged as a popular choice for developers and organizations seeking a fast and efficient NoSQL data layer for their web applications. Its flexibility and iterative development capabilities have made it invaluable in various use cases. For example, MongoDB is being utilized by engineering departments to power SaaS platforms, allowing clients to create and configure assets for account-based marketing efforts. The document store of MongoDB proves ideal for handling complex configurations with nested structures. Additionally, the native JSON support is convenient and valuable when working with data needed in web browsers. MongoDB's aggregation framework enables the generation of complex reports and dashboard reports, which are immensely beneficial for businesses. The replication feature of MongoDB seamlessly allows applications to scale and support numerous clients, further enhancing its utility.

Furthermore, MongoDB has proven its worth as a temporary mid-size storage database for processing massive amounts of data per day and extracting notable events and records for further analysis. It facilitates quick application development in the cloud, enabling free usage and evaluation of system loads. Additionally, MongoDB serves as an internal database type in REST APIs for high-load applications. Compared to traditional SQL systems, MongoDB stands out due to its scalability and superior performance in terms of reads and writes. Its simplicity and clarity make it a preferred choice when dealing with large amounts of data. Furthermore, MongoDB is extensively used as the main storage technology for web development projects employing the MEAN Stack. Its scalability and unstructured document storage are particularly valued from a business perspective.

Moreover, MongoDB's non-relational nature simplifies database modeling and optimizes performance when working with JavaScript or JSON objects. It has been recognized for optimizing delivery time, making projects more feasible within specified timelines. MongoDB is widely employed as the main persistent datastore for SaaS offerings, providing robust and scalable solutions. It finds immense utility in large-scale, high-transaction environments as well by storing analytics information from social networking sites or serving as the primary datastore for Intranets. Additionally, MongoDB handles data with hundreds of variances effectively, which can be challenging to manage in a relational database. Its lightweight alternative for front-end-heavy projects and document-based data storage makes it a compelling choice over traditional RDBMS solutions. Consequently, MongoDB proves useful for managing a large amount of information, making it a preferred choice for banks and large institutions.

Moreover, MongoDB's application extends to various domains such as train yard management applications, where it enables easy management of JSON structures within a database. Gradually, MongoDB is being adopted by different teams and products after resolving scaling and sharding issues. It is highly regarded by software development teams for its efficiency, easy learning curve, and efficient query languages. MongoDB bridges the gap between data analysis and developers by facilitating the structuring of databases and primary querying. Consequently, organizations across industries utilize MongoDB for developing internal applications as well as apps for other companies.

MongoDB's robustness and scalability make it suitable for handling millions of unstructured records, such as defect management in software projects. It excels at building multiple dashboards and metrics from data using simple find queries, aggregation, and MapReduce operations. MongoDB also serves as a reliable storage solution for handling intense database use cases, storing critical customer information, rules, configuration data, and content for alert notifications and statements.

The horizontal scale-out capabilities of MongoDB coupled with its ability to work with complex structures of information make it a chosen technology for many applications. Its ease of use during the initial stages of a project and its ability to handle data increase quickly are additional reasons why programmers favor MongoDB. It is commonly used as a store of user accounts and app settings for mobile apps implemented in JavaScript and Node.js.

Furthermore, MongoDB helps improve response times by scaling systems horizontally and distributing the load effectively. It supports agile methodology software development life cycles with its dynamic schemas, which facilitate iterative development and rapid prototyping. Developers appreciate MongoDB as an efficient NoSQL database that offers scalability coupled with good support and helpful documentation.

Additionally, MongoDB solves performance problems in APIs by providing an easy-to-scale solution while enabling developers to work in an agile manner and improve response time. Its ability to store non-relational data like user profiles and application logs makes it a popular choice among developers who need to work with diverse datasets. Moreover, MongoDB enables fast prototyping of new APIs by saving time wasted on data conversion.

MongoDB's versatility extends to various programming languages and operating systems without posing any challenges. It has gained significant traction in the academic community, with students utilizing MongoDB extensively in software engineering projects. It serves as a valuable tool in testing environments, helping students understand popular NoSQL databases and preparing them for development positions.

Furthermore, MongoDB is the preferred choice for managing transactional databases in gaming, offering features like replica sets, sharding, and clusters. Its flexibility and quick prototyping capabilities make it the main database for SaaS products, allowing for the easy exploration of new product ideas.

In a web application context, MongoDB acts as a comprehensive storage solution, hosting all necessary data including user details, application configuration, and user-managed data. It serves as an internal database type for organizations, handling millions of records across multiple departments.

MongoDB's capabilities extend beyond traditional web applications. It plays a crucial role in messaging systems, allowing for fast subscriber finding and efficient message sending. Its ability to model non-relational data when defined schemas do not suit the dataset makes it extensively used in various business-facing applications built with different front-end technologies.

Additionally, MongoDB powers web platforms, internal tools, and other applications as a primarily NoSQL database solution. It is leveraged by multiple departments within companies to store and process large volumes of records. MongoDB's versatility also shines in managing complex portals that showcase student assessments and support B2B reporting.

Moreover, MongoDB serves as a reliable datastore for extensive big data associated with users in an application. Compared to SQL Server, MongoDB provides a better platform for big data storage and analysis. Its capabilities are harnessed by storing and retrieving data for complex portals, enabling effective B2B reporting.

In conclusion, MongoDB has proven its worth across a wide range of use cases. From empowering SaaS platforms and handling complex configurations to supporting dashboard reports and scaling applications to serve numerous clients, MongoDB offers flexibility and efficiency in managing data. Its performance advantages over traditional SQL systems, scalability features, compatibility with JavaScript and JSON objects, ease of use for developers, and extensive documentation contribute to its widespread adoption across industries. Whether it's powering web development projects or managing transactional databases for gaming, MongoDB continues to be an instrumental tool in modern software development and data management.

MongoDB Reviews

17 Reviews

Professional, Scientific, and Technical ServicesInformation Technology & Services11Management Consulting1Marketing & Advertising2Computer & Network Security1Human Resources2

MongoDB - A Stellar NoSQL Database

Rating: 10 out of 10

Incentivized

July 24, 2022

Use Cases and Deployment Scope

In my organization, we use MongoDB as a temporary mid-size storage database. We have very large databases and process a massive amount of data per day. Throughout the day we identify notable events and records and need to extract them for continued analysis. This is where our MongoDB environment comes into play. We roll all of these detected records into MongoDB for further use.

Pros

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.

Cons

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.

Likelihood to Recommend

If asked by a colleague I would highly recommend MongoDB. MongoDB provides incredible flexibility and is quick and easy to set up. It also provides extensive documentation which is very useful for someone new to the tool. Though I've used it for years and still referenced the docs often. From my experience and the use cases I've worked on, I'd suggest using it anywhere that needs a fast, efficient storage space for non-relational data. If a relational database is needed then another tool would be more apt.

Kendal Droddy

Senior System Engineer in Engineering at General Dynamics Information Technology (Information Technology & Services, 201-500 employees)

Vetted Review

3 years of experience

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Oleg's MongoDB review

Rating: 10 out of 10

Incentivized

January 17, 2022

Use Cases and Deployment Scope

We use it as one of the internal database types in our REST APIs via a Spring/JAP connection in high-load applications. MongoDB is highly scalable, and compared to traditional SQL systems, reads and writes much faster than SQL. What is done on Mongo is as simple and clear as possible, and if there are problems with the amount of data in relational databases, such “bicycles” will have to be invented that will reduce all the advantages of these databases to zero. It’s probably hard to do an initially limited project on ordinary relational databases, that is, not to think about what will happen when everything is slowly covered up ... It’s better to devote more time to the design of the initial data, which will remove all questions in the future.

Pros

MongoDB is highly scalable.
Reads and writes much faster than SQL.
What is done on Mongo is as simple and clear as possible.

Cons

Requirement from the application in a highly scalable database.

Likelihood to Recommend

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.

Oleg Chumin

Java Software Engineer in Information Technology at EPAM Anywhere (Information Technology & Services, 10,001+ employees)

Vetted Review

1 year of experience

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MongoDB is the way to go!

Rating: 9 out of 10

Incentivized

May 7, 2021

Use Cases and Deployment Scope

MongoDB is our primary database our application runs on. We use it intensively for our application development and data warehousing. I have used as a datawarehouse for analytics. It currently gets data from multiple dbs like mysql, app insights logs and other Mongo instances. I primarily use it for everyday metrics and analytics reporting

Pros

Robust and Out of the box DB
Mongo Compass Integration provides a sweet GUI for users
Well optimized No SQL DB
Great Community support

Cons

Sometimes queries are tricky to execute

Likelihood to Recommend

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.

Verified User

Employee in Information Technology (Information Technology & Services company, 1-10 employees)

Vetted Review

1 year of experience

MongoDB, a flexible/reliable DB that will draw you to the NoSQL world.

Rating: 9 out of 10

Incentivized

February 29, 2020

Use Cases and Deployment Scope

We use MongoDB at the heart of our application where speed and consistency are critical. It's used primarily by the engineering backend team and vicariously by other teams using parts of the product. It gives us the means to quickly iterate our data models with fewer painful migrations than we'd have with a traditional RDBMS and its JSON-like BSON object modeling maps nicely to our APIs.

Pros

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.

Cons

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.

Likelihood to Recommend

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.

Eric Mason

Lead Developer in Engineering at SaaSquatch (Marketing and Advertising, 11-50 employees)

Vetted Review

7 years of experience

One of the best NoSQL family databases

Rating: 9 out of 10

Incentivized

February 28, 2019

Use Cases and Deployment Scope

We are using this database to store the raw JSON data as documents. We are using this to store the user's activity as a row in JSON so that we can later process that data. This tool is not being used by everyone in the company, but only a few of us.

Pros

Good integration with the Hadoop ecosystem, so it can be used with the other services of the Hadoop ecosystem.
A good NoSQL family database, so you can easily store the raw data as documents.
Good scalability as you can easily share the data and have quick availability of data.
Easy replication of the data.

Cons

Learning will definitely take time.
Updating is not fast, so if you have a use case where you need to update your data at a high rate, then it is not a good choice

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.

Rounak Jangir

Ab Initio Developer in Research & Development at Tata Consultancy Services (Information Technology and Services, 10,001+ employees)

Vetted Review

1 year of experience

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MongoDB is best NoSQL database software for keeing large data.

Rating: 9 out of 10

Incentivized

February 14, 2019

Use Cases and Deployment Scope

The software has the facility to balance loads which allow [for] better storage of files and no need to pay for the license. It is a completely free of cost software; it contains high security.

Pros

No need to write a complicated query such as MySQL. Writing the query in MongoDB is easier as compared to MySQL.
3rd-party libraries and framework support are increasing day by day.

Cons

We get too many tutorials for understanding MongoDB. Provide a proper tutorial which is easier for a developer to understand the code.
Adding more and more features will motivate the developer to use MongoDB.
Third party library should be increased.

Likelihood to Recommend

We can store a large volume of data that have no structures. We can develop and release quickly.

Verified User

Team Lead in Research & Development (Management Consulting company, 51-200 employees)

Vetted Review

1 year of experience

MongoDB: Easy and powerful

Rating: 8 out of 10

Incentivized

December 22, 2018

Use Cases and Deployment Scope

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.

Pros

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

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.

Bill Hefty

Lead Developer in Engineering at RentMindMe (Information Technology and Services, 1-10 employees)

Vetted Review

2 years of experience

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I'm Liking What I'm Learning

Rating: 9 out of 10

Incentivized

October 6, 2017

Use Cases and Deployment Scope

MongoDB is being used as a free-flowing document store for tax information.

Pros

Allows for free-flowing attributes
Scales easily
Improving with each release

Cons

Re-sharding can be cumbersome

Likelihood to Recommend

If you have a dataset that is not always consistent, consider storing it in MongoDB. If your data is normalized, it may not be the best solution.

Douglas Jagoda

DBA IV in Information Technology at Paychex (Human Resources, 10,001+ employees)

Vetted Review

1 year of experience

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Review from a database agnostic user

Rating: 6 out of 10

Incentivized

September 15, 2017

Use Cases and Deployment Scope

We used it as our main backend database for a particular platform within a department. It's very good for horizontal scalability. It allows us to scale out instead of scaling up. It is easy to tune and comes well-tuned out of the box. User bases are quite large as well.

Pros

sharding
replication
out of the box performance

Cons

maturity
documentations
WT stability

Likelihood to Recommend

MongoDB is suitable for e-commerce level workloads. However, it is not very good in data warehousing workloads.

Wei Shan Ang

Data Reliability Engineer in Engineering at GlobalSign (Computer & Network Security, 201-500 employees)

Vetted Review

2 years of experience

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Wearable device development with MongoDB

Rating: 8 out of 10

Incentivized

May 11, 2017

Use Cases and Deployment Scope

MongoDB is used to store data for electric measurement (of an original product, a wearable device called puck for brain stimulation) as well to get users' feedback after usage. Our day-to-day work relies on MongoDB solely. You might be asking that's why did we use MongoDB at first instance! Well we were never sure of the volume of data that we will be dealing with. The amount of data we process right now is still very small(gigabyte only). But the story doesn't end here. We have an active replica set for our production. If the story makes a success we will be needed to create sharded cluster very soon. Hope so for now. As it happens now if we want to rewrite the whole code base we will be in a soup, MongoDB is so deeply integrated with all of our framework. Its the lifeline for our product and project.

Pros

Roll out new features in a timely manner: As we evolved from an experiment to a publicly available product, we saw MongoDB evolved with the same pace. Right now you can work with MongoDB with ease. Some people think it will take a huge amount of time to develop an application with MongoDB. But I can tell you the community has been growing and thriving. No need to get scared by relational databases anymore.
Strong support team: We had active support from MongoDB. I feel that was great. As I never had a ridiculous answer from the support team. They were always prompt, sharp and will have exact reasoning for the problem. The feature I like the most is virtually every language is supported by MongoDB for application development. Which made our job easier as a few developers and QAs were not accustomed to MongoDB.
New integration and frontiers: I feel the journey just started. With the Spark integration, MongoDB opens a new door for analytics which is great. We need more such features for analytics.
Reliability and durability: I replaced an existing replica set by a new one within few hours including data transfer. I don't know how fast it is for a relational database. I've never found any write or read failure of our production database. My application transfers data into megabytes to a mobile device within a few milliseconds, which is quite amazing.
Security and endured performance: With all our performance test results we are quite satisfied. The security is enhanced with https based communication among the replica set nodes. Even here you have user level access like a relational database but data can be grown much more than a relational database. With MongoDB, the performance we got was phenomenal and helped us to remove usage of the caching server.

Cons

Analytic: This area needs quite an overhaul with new features and integration. I think it has to be more thoughtful.
Migration: Needs hassle free migration from one version to the next or the previous. As of now, this feature is getting huge attention. Hope [they] will do better in future.
Query functions: Like RDBMS SQL functions are missing. Need to use aggregation framework for simple calculation, which is time taken and slow to run. Hope new functions will be added with new improvements.
Community driven features: Add more community driven features so that developers can write less code and do more.

Likelihood to Recommend

MongoDB can be used in server based huge apps or for mobile apps supported by servers. In my present project, I'm using MongoDB for read-write operations done by mobile apps and web apps. Any app that generates a huge volume of data can be an ideal candidate for MongoDB. That shouldn't stop you from developing any sort of apps. I found no boundary of usage.

Niraj Adhikary

Senior Software Engineer in Information Technology at Accion Labs (Information Technology and Services, 1001-5000 employees)

Vetted Review

4 years of experience

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