Awsome, ease to learn

the data embankment is secure and manageable

currently no cons for me, overall good software features

Using MongoDB for years, mostly as local storage in docker containers. Latest project is based on cloud solution.

I like the Atlas Cloud solution. It enables various tricks and cross-integrations of single database between multiple apps (containers) with simple user management - for a reasonable price.

I cannot get over this Atlas Compass UX issue - I want to open at least two "tabs" with collections at the same time. This is not possible and even worse, when you switch between collections, thee state is completely reset. So I'm compiling the search query carefully with all the commas, brackets and identifiers, I often need to search for ID from another collection or maybe from the same collection. When i change collection scope -> BAM! The whole query is gone :( The input should retain its actual value... Second "issue": When it comes to schema changes in living DB, sometimes it behaves unexpectedly (no error, no data). Maybe I'm doing something wrong, but I would like to know it...

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

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.

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.