MongoDB Reviews & Product Details

I like that it is available for everyone and it is easy to create an app by beginner, its easy to configure access to database from any programming language and the database is very fast

There is no thing that I dislike in MongoDB

It provides very fast database for very big databases, it provides very fast searching mechanism and I am more productive thanks to you. Our business increased performance thanks to it.

The speed of data retrieval is really fast as compared to other nosql database

The interface is sometime not very intuitive

It's trying to create better storage structure and data retrieval

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 schema-less no-SQL database that is horizontally scalable using sharding and can support high availability and scalability out of the box which lures our clients to use it.

Though mongoDB is a schemaless DB, it should provide some level of opt-in control to the schema to ensure that the database remains consistent as per the business logic. Right now, we are ensuring consistency using application logic.

MongoDB allows us to provide scalability, high availability, and resiliency to our cloud architectures. We are using MongoDB via MongoDB cloud Atlas.

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 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.

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.