MongoDB Reviews & Product Details

Easy in migration. lightweight and fast environment. best for cloud deployments.

Not suitable for large enterprises. other than this everything is good.

NoSQL DB

it is very useful for the query language and easy to store the data and retrive the data from the data .

there very no dislike actually it is very helpful .

to store the data in the DB for the development purpose

MongoDB is the best NoSQL Database which provides to store your data in the form of documents, it's open-source and free to use. Supports all operating systems.

There one thing which I dislike about MongoDB is that it doesn't provide any UI by default, you have to install MongoDB Compass separately.

Since MongoDB is NoSQL database, it is very fast in case of large number of data compared to traditional SQL databases.

Likes everything about it. Documents, Schema Agnostic, Query Language, Powerful Schema design Patterns, Transactions, Change-Streams , so full packed with feature you can not imagine with any other database present today

I don't dislike it. I love it. It's so flexible that people often misuse it and think MongoDB is wrong, but it's a double edge sword. It would help if you were very careful while using it.

It's the central database in 99 percent of our projects. Best-in-class availability, scalability, easy-to-understand query language, simple concepts, robust, performance

I have used MongoDB for a project to develop an application, and it made it easy for us to connect mongo through the MAC terminal and directly retrieve the database and perform operations. I have got used to using mongo through my terminal, and I feel it's the best I like.

The front-end application for the project, it does not have many options inbuilt with in the MongoDB application and this makes it hard and lengthy to connect with other applications.

My experience with mongo DB is limited to a course and two projects I have worked on it. One project was good an successfully done, but other one had problems, so essentially it depends on what kind of project you are working on MongoDB

MongoDB is no SQL Database, MongoDB has rich UI (Mongo Atlas and can be integrated with Nodejs and Java back end with Mongoose Library. It is easy to learn and commands are self-explanatory. Performance is high , distributed to multiple databases.

Working with joins is not so easy; high memory usage, and it isn't easy to understand the sharding concepts

Our data is unstructured data, and our project needs real-time analysis and scaling and it can be integrated with java or nodejs

This MongoDB tool has the best UI, We can connect multiple databases at the same time with this tool. We can write queries like find, update and delete. This tool has inbuild three views that help you to monitor your data.

I don't find any downside currently. I recommend this tool to every developer.

We can write direct queries for searching, sorting and updating the data. MongoDB displays this data in a very structured format. We can download all data as CSV from the collection which is the best function.

MongoDB is a fast, document-based database that provides us with most data needs. We are using MongoDB as our primary database for our application, and it proved to be very fast, robust, and very easy to use. The schema-less methodology allows us to change schema as needed without worrying about past changes. The "aggregate framework" is a very good solution for building complex, yet easy to understand, queries.

As with most NoSQL databases, MongoDB does not allow for cross-table JOINs. Hence, we need to structure our data accordingly and use solutions such as the aggregate framework in order to execute complex queries.

We are using MongoDB as our central and primary database for our application. Using this database allows us to perform fast inserts and updates without worrying about table and page locks.

It is very easy to use with python/javascript language. I have worked for many years with MongoDB. It handles requests pretty well. Writing queries and help from UI you can easily get your desired data. It is also fast when used with indexing. Setting up in the cloud is also easy. Taking a dump and restoring, I am so grateful for how easy.

Our organization uses MongoDB as the database for all our backend services. There was one issue I faced with connections using pympngo. It was getting disconnected for every consecutive call. We solved it but it took a while to figure it out.

MongoDB solves the need for a No-SQL database at the backend. It is quite developing fast pace because it is schema-less and Data replication is also fast and easy.

MongoDB makes use of a database that has a superb reputation in order to accomplish the lightning-fast speed, unlimited scalability, and rock-solid reliability that it boasts. Since we've had such amazing results with MongoDB, we've chosen to adopt it across the rest of our firm since it's so speedy, dependable, and easy to use. This decision was made because of our tremendous success with MongoDB. In spite of its lack of complexity, it is used in a productive manner by Python and JavaScript, two of the most widely used programming languages. Learning how to use the system is made much simpler by the presence of excellent documentation and first support. In addition, this endeavor enjoys the support of a significant portion of the community. It is compatible with almost any language that is currently used in software development.

This is the best option for a single user doing a few simple tasks, but it becomes pricey if you need a lot of data storage or if you want to run many clusters at once. The high cost prevents me from utilizing the product often and is the single biggest barrier for me to overcome. However, it has a major drawback in that it relies heavily on RAM, which is inefficient. Creating a query to search for particular data may also be challenging, depending on the complexity of the database.

Our company makes use of MongoDB for the storage of data, the retrieval of data, and even the alteration of data in its most fundamental forms. Because the data is stored in the cloud, administration of the storage space is made easier, and the speed with which information can be retrieved is increased. As a result, the platform is well suited for joint endeavors and widespread adoption. As a direct consequence of this, our organization has seen a significant increase in its profits as a direct result of making use of it.

MongoDB cloud is a very easy to use NoSQL environment where you can set up your no SQL database instances easily and quickly without installing software in your local machine.

MongoDB cloud has all the tools you want in no SQL environment but the monthly cost is somewhat high for a small project but it would be a problem if you are opt-in to the local environment.

We are a commercial software development firm for all our no SQL database solutions we use MongoDB. For some application development, we use MongoDB cloud for some free of charges software solutions we use locally hosted MongoDB servers.

I am using MongoDb for the last 3 years and I can say without a doubt that it's the best DB out there in the NoSql marketplace. Simply because of its Flexible document schemas, easy deployments/managements, and more data agnostic environment, major advantages over RDBMS DBS such as Postgres. For example, the ability to use an Array of Foreign keys is an essential part of the modern web apps but these things are not supported by the Postgres DB. Also the distributed filesystem grid fs is also one of the robust things out there for story/retrieving binary files efficiently which makes MongoDB far more advanced than its subordinates.

The DB side schema enforcement and type enforcement at the DB level is still a plus point and a primary reason why people still use Postgres over MongoDb. Additionally, the internal foreign key mapping as compared to just a string filed holding ids of foreign documents in DB is a thing I dislike.

Our business is a business that generates a lot of dynamic data from hardware sensors and we wanted a database that can be easily plugged and when adding new fields or in our case, new sensors the previous data with legacy documents still work and are not affected. Thus we opted for a no SQL approach through MongoDB and it turned out to be a perfect data agnostic, secure and reliable one.

The document-based Db can handle unstructured data. It is very easy to blend with NodeJS. I am very interested in MongoDB as my first choice DB

Nothing.They could improve the aggregate framework to handle JOIN much simpler.

In the last project, the data we have to store is unstructured and need to change the schema every time.By using MongoDB it helps in scaling.

MongoDB is a fast and highly Scalable and reliable database. It is easy to query data in MongoDB, it has huge open source community for support and many supportive thrid part plugins and tools in node package manager.

MongoDB takes a large amount of memory and the size of the document is so small. We can only make a maximum of 16MB documents. There is no support for transaction commit as we have in most SQL databases

We use MongoDB mostly in e-commerce, health or fitness and messenger-type applications. It is easy to query and make database structure and schema so quickly. And it is so fast that we all love it.

It is fast, can be used for a variety of database solutions, and is extremely reliable. Also, the querying is really fast almost at par with SQL databases. It also has queries where you can aggregate data from the tables.

Querying can get complicated, depending on the complexity of the data. Understanding the underlying working of MongoDB is not simple and it is easy to go wrong while developing solutions.

We had used MongoDB as a cache solution to store some latest values which had to be retrieved very frequently and we were amazed by the performance of this database,

MongoDB is very easy to learn and use. It is highly scalable. It also has a very simple installation. It has powerful querying and analytics tools available, both open source as well as paid.

Our organization uses MongoDB as the database on all our backend services, and have not come across anything that I dislike yet.

We use MongoDB as our database to store our data in different services that we have.

In MongoDB, we can store data easily and visualize it on Atlas UI. Easy to use and manage where data for application are in large numbers.

MongoDB uses high memory for data storage and limits for document size.

I am using MongoDB for the data where I don't have many relations between the fields and for that purpose MongoDB is great to use.

Easy to use User Interface, easy to use for the professional with even less SQL expertise, and has a vast range of integration with Platforms.

There is not much to dislike in the Application. There need to be alerted if Robo 3t is not compatible with MongoDB. For now, it just fails in connecting but never gives the right message.

We are using it for storing API inventory data of the client, which we are using with the Springboot application for the client's inventory management system.

Ease of Use - Effortless to set up and use; the official documentation is to the point and always updated. Simple Learning Curve - It's straightforward to learn.To get started, It won't take more than 2-3 days. Easy to Migrate - As it's NoSQL, you can migrate from any system to MongoDB without many problems. Community Support - As it has been there for more than half of a decade, the community support is amazing. Scalability - MongoDB is built for big applications, so load balancing, sharding, etc many powerful features it possesses that make it super scalable.

I have been using MongoDB for the last four years and haven't faced any significant issues. And whatever hurdles I met were resolved by the experts or community. So No, I don't have anything to dislike about MongoDB.

I work in the Agritech Industry of India, where we deal with a massive amount of real-time weather data. So following are the benefits I have realized from this - 1. Almost zero latency DB operations 2. Having a geographically local instance made sure that data was available to the stakeholders without any delay. 3. While we have been getting a newer user base, and we need scaling, we used both inbuilt query optimizer and vertical scaling.

Mongodb is very fast and perform it's duty as expected any nosql database. Here table is known as a collection and no need to implicity tell the datatype of each variable. It can take automatically because it save as records and all data is store as a document. If is difficult to make sync with relational and non relational database as both have different schema.

Couldnt find anything which I dislike about mongodb it's super fast and easy to use.

I have rest api in my project so I used default mongo library in go to communicate with it an to perform curd operation. Queries were quite simple and easy to use and understand