MongoDB Reviews

I used the solution in the production level to search data and create education-based tutorials for a project. We had 30 managers, senior architects, tech leads, and software engineers working on the project. 

Currently, I use the solution for my personal work. 

The solution has good flexibility and very fast performance for searching data in comparison to Oracle DB or MS SQL.  

The solution is very lightweight and uses JSON syntax to insert or search records. 

MongoDB is a data storage platform. All our application databases are stored in JSON format, and we also use MongoDB replication.

MongoDB is pretty lightweight and fast on the web because we're using non-structured data. One of the reasons we chose MongoDB is that we don't have to worry about the schema. It is also available in the cloud, and we are going to move to Atlas Cloud for MongoDB. MongoDB has many good replication features and good performance.

I use MongoDB to connect our backend with the MongoDB database. Once connected, it allows us to store and manage our data efficiently. 

It's particularly useful because MongoDB is a document-oriented database, so it doesn't require predefined schema definitions which MySQL does. I've used MongoDB in two to three projects.

The most valuable feature of MongoDB is the predefined functions available when using Node.js. These functions simplify the query process, making it user-friendly and straightforward. 

Additionally, MongoDB's flexibility in not requiring a predefined schema makes it adaptable to changes. 

Another advantage is the straightforward deployment process, especially when deploying on our own server.

We primarily use MongoDB as a database to handle large volumes of data. It's useful when we need to manage millions of records quickly.

The cloud solution offered by MongoDB, known as Atlas, has been invaluable to us. It provides a good, user-friendly interface. The ease of use and scalability make it stand out compared to relational databases.

Our company uses the solution for small functions that contribute to some projects. The solution is part of our whole company architecture. Some projects might not touch the solution but the data is always there when needed. 

The reports are useful for controlling the load of our whole architecture. We compare different reports to different levels, applications, and modules of our whole architecture. 

We are using MongoDB as the database on our private cloud, which is AWS in Frankfurt. We monitor different banks adopting cloud in our infrastructure with confirmation and approval by the local regulator.

It's mostly all related to our digital part of the bank. We are using MongoDB for the process of onboarding new products. When we are actually calculating proposals for mortgages or complex financial products, we must consider that calculation across many sources. Some are internal. Some are external. We are using MongoDB to support the calculation, or proposal calculation, on our web digital processes.

It has given us a chance to explain to people that once the bank made the decision to migrate some processes, applications, and data into the cloud, it was a benefit. It's not only about the change of process and application components. It's also about changing the data ownership and data operation. It went hand to hand, actually, to start training them that there is something beyond Oracle and SQL databases. With Mongo, our team was happy to get a chance to learn something new.

However, once some people learned the solution, we did lose them to someone else. It shows how popular it is not only in our organization but in other places as well. 

Our company uses the solution to manage a large sum of data. It is clustered rather than tabular so we can use the solution for large data. 

We currently have four users. 

The solution is able to handle large data. 

The solution does not hold data in tabular format like SQL does but rather clusters data so that it can link on a large scale.