My experience is very good, it works very fast, it is configured quickly, you can view and make queries from your software to see the data of your database. Making backups is very simple and integrates perfectly with our javascript development.

Very fast installation and use. It has very complete tools to manage you, such as the Mongo Compass or the possibility of having everything in your cloud with Mongo Atlas. The installation is very simple and the power of the tool is incredible and integrates perfectly with our system built in NodeJS. It has a very detailed documentation which facilitates its integration.

The main cons is that it does not have the possibility of making queries with JOINS but this is a limitation of NO-SQL databases

MongoDB is for me the top database for microservices applications. It scales great and is easy to use. It has many integrations with popular programming languages. It is easy to configure it for heavy loads.

It is a NoSQL database by which it can be a certain entry threshold for beginners. Correctly selecting and setting up indexes can be a problem.

Built several multi-node clusters for data warehousing for ETL tools. Had a lot of issues early on to get it working. Documentation 2 years ago + was spotty but now its a lot better. Not to mention the software has evolved to include features sorely missing awhile back. We moved away from thsi product as it doesnt allow backups as robust as MSSQL and oracle but its great for certain types of data needs.

Can use a free version of it. And does allow clustering of it inclusive.

Compass client tool is useless versus other DB software tools. Pretty much all cli based access ot the collections within

Very positive, allowed me to run a website with many many thousands of data entries, and all the usual features like relations and performance management that you would come to expect from a tool like MongoDB

Object oriented data storage is quickly becoming more popular and MongoDB makes it very easy to dip your toes into, and its blazing fast.

Adoption while fast, is still not there globally which means often resources on the web can be a bit scarce when compared to other database types.

We used Mongo to host some incoming user data on one of our portals. We needed a solution that could host variable length data where the format could change semi-irregularly. Mongo was both quick to implement and reliable in use and has caused us no problems once we finished all the configurations.

MongoDB was our go-to solution for a NoSQL database due to the ease of installation and simplicity. We had used Mongo before for smaller projects but decided to use the MongoDB Atlas service to have a reliable instance online. Using the hosted version alleviated a lot of the configuration issues we had experienced also, although it isn't required to use the hosted version depending on the use case.

The visualization aspect of Mongo constantly was an issue for our team. We wanted to display dashboards of our data through a variety of methods but most were difficult to implement using Mongo, or were simple/slow at best. There was also a lot of trouble trying to connect MongoDB Atlas with our AWS VPC, specifically so that our cloud functions could access it.