My time using MongoDB has been excellent. MongoDB has become my go-to database choice because I work with data a lot. I have been able to handle a variety of rapidly changing data requirements with ease thanks to its flexibility and scalability. I like the document-based paradigm since it fits my data's dynamic nature nicely. I've been able to swiftly adapt and iterate thanks to the ability to store and query data in a schema-less manner. It has never been easier to obtain and analyze data effectively because to MongoDB's robust query language and indexing capabilities. My development process has been sped up by the easy connection with well-known programming languages and frameworks, allowing me to concentrate on creating strong and feature-rich applications. Along the road, any problems I met into were also greatly helped by the active community and thorough documentation. As a result, MongoDB has significantly changed the way I work with data by giving me access to a dependable, scalable, and adaptable database solution that meets all of my requirements.

MongoDB's unmatched flexibility and scalability are what I liked best about it. MongoDB has changed the game for me as someone who deals with continually evolving data formats and requirements. The document-based architecture enables me to store data in a manner that closely resembles the entities and connections seen in the real world, making it highly intuitive and simple to use. The dynamic schema gives me the flexibility I need to iterate quickly by allowing me to modify and develop my data model without being constrained. MongoDB's extraordinary capacity to scale has proven invaluable in helping me manage increasing data volumes and high-performance applications with ease. With MongoDB, I have the flexibility to scale horizontally with sharding or vertically with replica sets to match my changing demands. Additionally, data retrieval and analysis are now a snap because to the robust query language, numerous indexing options, and aggregation architecture.

If I had to pick one thing about MongoDB that I disliked the least, it would be the steep learning curve that comes with its sophisticated capabilities and intricate setups. MongoDB is a strong and feature-rich database that offers a variety of capabilities that may take some time and work to completely understand and efficiently use.

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

With the large amount of built-in functions, I don't need to write some complicated queries in my project. I can also easily integrate with any of my projects. I won't need to extraneously install packages or tools needed to use the MongoDB Atlas. They also provide a custom role option for the CRUD option. This makes it more practical to use. Unlike other MySQL databases, MongoDB uses the BSON type to store data. that makes the database more fast and robust. And they also provide tools like MogoDB Compass for easier management. I can easily shift my data from one database to another using tools like Mongodump and Mongorestore. also one of the main reasons for me using MongoDB for its security. because they use popular platforms like AWS, Google Cloud, and Microsoft Azure to store data.

One of the fastest MySQL databases with a user-friendly database. You don't have to put that much stress into learning the MongoDB. The enormity of the built-in options makes this user easy to implement on their project. and easy to integrate with any framework (such as Node.js,Djanco, etc.). The detailed documentation with examples makes this even easier to use (in my opinion, most tools fail on complicated documentation with a lot of examples). The documentation provided by them was easy for even a beginner to understand. They also provide custom integration with top cloud-based platforms like AWS, Google Cloud, and Microsoft Azure. With the free storage space of 500 MP, everyone can use their database with a low amount of limitation.

From my point of view, I don't see any things I dislike about the MongoDB. They provided all the necessary things that I wanted.

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.