MongoDB Reviews: 4.5/5 — Highly Rated

It is very easy to use and its syntax is pretty much simple and easy. It reads the data from the live sources and helps in making the word cloud very effectively.

Its output delivery system is not that much effective, every time we need to take data on excel then we can use it.

Reading the data from live sources such as from Twitter, youtube comments and the data is not the same then we use this tool to fetch important attributes from the data.

It serves its purpose well and is seamlessly able to integrate with other solutions. The cloud offering is a cool way to get more out of the service without worrying about infrastructure.

Mongo db is a bit had to understand in the dirst place. People who are trying to migration from old sql to mongo might have a hard time.

I have can put many types of data onto same db.

Easy to install and setup, Schema less Document database and has no complex joins and support Regular expressions as well.

Data consumption is high and Map/ reduce is slow and the most annoying is full database lock when a "Write" operation happens.

Data consumption and Nesting.Easy installation and full technical support

The way you can query in the documents easily

Nothing, I really loved it. I want to use it forever

Creating large amounts of documents or data for my projecvt

easy to maintain data collections and fast query process. it is very easy to query with drag and dropping key fields

cannot merge two collections and query. it is a disadvantage when we have to visualize something meaningful.

data visualizations and fast data processing for real time data analytics.

We are using MongoDB as our primary database. As our most of the data is in unstructured and thus not fit for RDBMS store. JSON data store, Schemaless architecture along with horizontal scaling makes it more efficient. One more thing that i loved is the support for geospatial data, it's just perfect.

Takes up more space than RDBMS for similar data. ACID compliance missing.

Helped in storing unstructured data. Horizontal scaling saved us a lot.

I like mostly MongoDB aggregation framework which is powerful and flexible

I don't remember anything I dislike in MOngoDB

We've been developing network monitoring solution in MongoDB which benefits us reliable database service and flexible document schema.

I learned MongoDB as soon as I started my job and love it more as I learn more about it. As a database service, it provides stable, secure, available service. We implemented it across the enterprise for some NoSQL use case. It also has great data security strategy. P-S-S, a.k.a. primary, secondary, secondary data layout secures the data from being lost. That is the killer for database. Even the log server has PSS structure layout. MongoDB is also well-documented, most of the cases can be found in their document. They can even send trainers to your company if you need. MongoDB has great manager too. It can indicate the health status of your servers, clusters, connections, storage, etc. Overall, it is a great choice for NoSQL server.

I have not found anything I do not like yet. Everything is wonderful.

For NoSQL services. We have stream data need to be stored and analyzed.

It is nice experience to working on mongodb. Great support and capabilities to store schema less data in db. MongoDb is document oriented which helps in storing key values.

Accessibility, the access of mongo db you can have 3rd patry client.

Storing data of our product

Easy to backup your databases. Very simple to use. Good GUI. Continuous backup of queries and oplog.

No control on backup data. It is stored in MongoDB cloud. Cost depends on the size of the data and the amount of oplog changes.

It provides point-in-time restore, continuous and online backup solution as a fully managed service.

Having a background in object oriented programming, I found MongoDB to be easy to understand from a conceptual level. Unlike SQL based DB's, it is based on BSON (Binary JSON), which allows you to create more dynamic schemas and data structures.Instead of using tables and rows, you use collections and documents, which makes sense in an Object Oriented programming environment. As part of the MEAN stack, MongoDB goes perfectly with Node.JS projects, which can be used for both web and mobile application development. Overall, it is flexible, easy to use, and with an understanding of JavaScript, very intuitive.

Mongo may not be the best solution for running large complex transactions. You may also have issues migrating from a SQL based solution to Mongo, without careful planning. I would recommend for new projects, not necessarily legacy solutions.

MongoDB Atlas to manage DB Clusters of cloud based MongoDB instances, along with MongoDB Compass. With the tool I am able to manage users, set up teams and set back ups. There is also various charting tools you can use for visualization services (ala Tableau or Google Datastudio).

It was so easy to create and handle the cluster. Also, when it comes to bring the data into the server, works really fast. The Live Migration Service is a free service that allows you to migrate data to Mongo and you should live this awesome experience when it comes to Data migration, that Mongo provides. I want to mention, as well, that you can pause the cluster, whenever you want, and the price is lower, which is great for when you are not using it. Mongo has a great Support service, all the tickets have a quick response.

The referral program is a little bit complicated. Even though the program is awesome to motivate you to share Mongo with colleagues.

You can create several clusters and save a bunch of information. It is great for Data science.

MongoDB has a great support system and i like mongoDB university.

Nothing so far that i dislike. It has a lot of good options that i use.,

We store a lot of random size data in it and large data and it does very well.

Data is JSON-structured. Query responses are quick. Set up is easy.

I am not sure what I don't like about the product. I have to hit 40 characters for this answer.

Storing factory data, which is usually unstructured and inconsistent.

Natural way of thinking about the data structure Geolocation options

Performant queries a bit difficult at first.

Developing games.

document view and tree view, how you can drag and drop to create aggregations

only lets me skip a couple versions before it forces me to update

Storing non relational data

- Easy installation and configuration - Easy Replication, exceptional read-write performance with our application. - Javascript integration. - Scalability. - Great documentation available along with educational material accessibility. - Powerful aggregations. - Works flawlessly on different OS - Windows, Linus, CentOS. - We use MongoDB as a file system, along with data replication features which is pretty cool.

- Scaling needs some advanced experience with the tool. - Need to learn syntax since most of my team comes from Oracle SQL Background. - Unable to leverage relational DB capabilities.

- Major performance improvements were visible when we migrated to Mongo DB. Query rendering was much quicker. - The schema-less design helps us to store large amount of data seamlessly. - MongoDB compression helped us improved network latency and the application became much faster compared to earlier.

It is the easiest NoSQL database. I experienced in installing Cassandra and HBase which are NoSQL database and it was Nightmare.

I didn't reach to commercial version but It seems it is pretty expensive when a company uses it for their business.

I tried MongoDB for NoSQL database design. Compared to other NoSQL database, I think it is easier and straightforward to setup.

Mongo DB is an incredible storage software with a huge database designed for powerful, easy and intuitive documents, after storing the documents it is easy to search for them by means of the name given to them. The database of Mongo DB is known as NoSQL, which is a very useful tool.

As not everything is perfect sometimes I lost information, and the database starts to fail once it exceeds 100 GB, although I think that very few people have reached this point, so the software in general is pretty good .

Being the manager of marketing supervision of the company Linio Group daily tasks were tedious to classify and once they were saved over time it was almost impossible to find it in minutes, taking into account that time is important in any job, the main thing is to have software that allows you a better development in your area of ​​work and Mongo DB offers the best tools to carry out all your goals.

simplicity, speed and the support that we get from the community

its good until we use the open source version, but if we want to move to an enterprise solution the managed services costs too much as compare to cloud dbs

using it as the core database as it has no limitation with any kind of project structure and can scale up with huge load as well

It's really easy to get up and running with mongo and most languages I use have libraries that make it very fast to develop for. It also performs very well.

It doesn't seem as easy to manage in cloud environments as the build in offerings. Also the GUI tools to connect to it that I have used such as robomongo are very lacking.

I use it to store data for micro services. I like how fast and simple to use it is especially for situations where I only need to store simplistic data.

MongoDB is an integral part of full-stack web development, integrating seamlessly with Express, Node.js, and Angular or React.

Can't think of anything right now! I am very happy with my MongoDB experience so far!

As a graduate from, and evangelist for web development education programs, MongoDB is an important part of gaining valuable job skills.

The schemaless feature and the flexibility of document model to store flexible data, and the power of aggregation framework for analytics

maybe the commercial model (in mexico), is too confusing

The flexibility of data storing, document model has a lot of benefits for changing organizations

Responsive, easy to use. Found many developers who help support me in my organization. Writing query is easy (because MongoDB company provides free training).

I have no dislikes about MongoDB. If at anything, technology moves so fast that I need to make notes on the commands (queries)

Easy development with ExpressJS.

Is the first no-sql database I've tried and it's wonderfull. Really easy to use and the web is full of tutorials, manuals and it has a huge community.

On your first use could be a little bit weird dont use SQL on a database.

Personal and educational projects.

La rapidez y sencillez con la que se puede manejar.

En ocasiones se congela cuando se gestionan muchos datos, pero lo puedo entender.

Configuración masiva y gestión de datos para correcto funcionamiento de nuestro producto. Ahorra mucho tiempo y trabajo.

Ease of use; the online training is available and so easy to learn.

nothing as of now, as i am learning the tool

ease of use

we can just change an attribute without changing the tables

nothing to mention yet as i am just being introduced to MongoDB

benefits in larger db's

As an early stage startup, we found that MongoDB was the best choice for our main platform. Its scalability and flexibility was invaluable to us as a company in its early stages of development..

Most of us were unaccustomed to noSQL databases, which took a significant amount of time to become familiar with.

We're connecting property owners with real estate agents. Benefits include flexibility and scalability.

product, auto scaling, schema less, cost less

less flexibility with Json, data sizing, data query

nothing yet