Document Databases Resources

Apart from being a NoSQL, would be happy to tell it provides a lot of flexibility with changing document schemas, and really good for analytics. Recently I used in a third party service integration, which had restful api, and stored all the json payload and json response in a collection and whenever wanted to fetch out request and response, it was quite easy to fetch the data. But yes, you might face difficulties in learning the syntax in the beginning, but trust me, once you get hold of it, it's no way back..

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MongoDB is used to store data, but not in the ’boring old rows-and-columns way. If SQL databases are Excel sheets. MongoDB is more like’ JSON files stored at scale.’ People actually use MongoDB for Web apps, Mobile apps, APIs or Anything where data shape keeps changing. People pick MongoDB because it stores data as documents (JSON-like). So you can save things like user profiles, posts, comments, settings. all together. No fixed schema forcing you to define every column upfront. Example. User A has name, email, phone. User B has name, email, address, hobbies, profilePhoto. In SQL’, you suffer. In MongoDB, it’s normal. Common use cases is User authentication systems. E-commerce products and carts. Chat messages. Dashboards. Logs and analytics data What MongoDB is bad at is Complex joins like banking systems and Heavy transactions where absolute consistency matters. It replaces SQL only when flexibility matters more than strict structure.

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