- Store a large amount of structured or semi-structured data, such as documents, images, audio, and videos.
- Supports high concurrency read and write operations, suitable for applications that require quick response and handling of a large number of requests.
- Provide a flexible data model that allows developers to easily perform CRUD operations on data.
- Supports indexing and aggregation operations, providing efficient data querying and analysis functions.
- Support data sharding and replication to ensure high availability and reliability of data.
- Applications development suitable for big data analysis, real-time data processing, and Internet of Things (IoT) fields.
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