MongoDB’s document-oriented architecture uses JSON-like BSON documents for flexible, schema-less data storage. This allows dynamic adaptation to evolving data structures without rigid schema migrations.
Horizontal scalability via sharding efficiently distributes data across clusters, enabling seamless handling of massive datasets.
The aggregation framework supports complex data transformations, while built-in geospatial indexing and full-text search expand analytical capabilities.
Transaction support (from v4.0) ensures ACID compliance for multi-document operations. Review collected by and hosted on G2.com.
The transition from SQL can involve a steep learning curve, particularly for complex queries and aggregation pipelines.
Storage consumption is higher than relational databases due to denormalized data structures, impacting cost efficiency at scale.
While transactions are supported, performance tuning for complex ACID operations requires meticulous indexing and schema design. Review collected by and hosted on G2.com.
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