The lack of schemas, tables, foreign keys, queries, etc. – This is what the MongoDB database is famous for. Before Mongo DB was born, all data was stored in SQL relational databases, and nobody ever wondered if they were suitable for storing this or that kind of data. Mongo DB came from the other side, and offered a new model for document-centric data storage.<\/p>\n\n\n\n
The innovation among storage models increased the speed of work, opened new frontiers for scalability, and simplified the overall process of working with the database. However, it didn’t lead to a total rejection of traditional databases, because tasks are different and the optimal solution may also differ from one another. In addition, there are cases where it would be useful to use a mixed scheme to store data, some of which will be in the classic database and another part in Mongo DB.<\/p>\n\n\n\n
Overall, Mongo DB JS has many significant differences from traditional databases, the first of which is the C++ that Mongo is written in. Because of this, the database can be deployed on a wide variety of platforms, which broadens its scope. Classic databases used strings to store data, but in Mongo DB we encounter documents that can store information with a complex structure. Documents can be built into collections and move away from the rigid table structure typical of SQL databases. It allows you to collect objects with different structures and properties.<\/p>\n\n\n\n
Another advantage Mongo DB programming offered in the storage system. It is a set of replicas that has primary and secondary nodes. The secondary nodes are in integrity and are not updated after but along with the main node, which affects the reliability of the storage. In the case where the main node ceases to function properly, or at all disconnected, the main becomes one of the secondary nodes, around which the remaining secondary nodes form a new holistic structure.<\/p>\n\n\n\n
To summarize, many developers breathed a sigh of relief after Mongo DB appeared. After all, they no longer need to re-create the data storage schema even with a minor change in the storage concept. Time spent building complex queries can now be spent on other tasks for which they haven’t yet invented a silver bullet like Mongo DB for databases.<\/p>\n\n\n\n