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Ideal for developers handling content management systems, real-time analytics, and apps with evolving data structures. Great for startups and companies needing fast iteration on their data models.
Data gets stored in collections of documents. Each document contains key-value pairs and can differ in structure from others. The database indexes these documents to enable quick searches. Clients query and update documents via APIs with flexible query languages, often JSON-based.
Nope, document DBs store data as flexible documents rather than tables with fixed schemas like relational DBs.
Yeah, most support powerful querying on nested fields inside documents.
Many support multi-document transactions but usually less strict than relational DBs.
They can handle large volumes if designed right, especially with horizontal scaling.
Even tho flexible, good schema design helps performance and maintainability.
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