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Scenarios

Website & Game Businesses

Ping An Cloud is perfectly suitable to structured, semi-structured, and unstructured data storage such as websites and games. Its DDS dynamic model character supports agile development and quick online demands. Ping An Cloud DDS is capable of mass data storage expansion and retraction that are required by websites and games.

IoT Application

Document Level Lock feature of MongoDB with WiredTiger and efficient asynchronous data writing performance can achieve the performance of memory database under specific scenarios. It meets requirements of high concurrency writing for IoT applications. Moreover, MongoDB Sharded Cluster provides cloud-level scalability and supports IoT’s requirements for access to mass data.

O&M and Monitoring Businesses of Core System

Involves access of multiple data structures, writing and reading of high concurrency and mass data, large data storage, and other requirements. Taking advantage of free mode, memory operation, and automatic sharding characteristics of Ping An Cloud DDS, you can achieve complex business logic and cloud-level scalability with low development costs. Map-Reduce’s Aggregation Framework can be used for multi-dimensional data analysis.

Mobile Application Business

Takes advantage of the management feature of DDS geospatial to support geodata management requirements for different distances (plane, spherical surface), shapes (dot, string, surface, sphere, irregular form, etc.), and models (distance, scope, intersection, etc.).

Quality Control Business

Ping An Cloud DDS supports access of multiple data structures and is suitable for data storage of goods, shelves, and contents in all industries. Supports secondary index function and dynamic queries of such data.

Remote Data Sharing Business of Large Enterprises

Involves remote data access. Realizes cross-regional data sharing by taking advantage of remote multi-data center deployment and availability of architecture of multi-data node of Ping An Cloud DDS.

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