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FusionCloud 6.3.0 Solution Description 05

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Huawei uses machine translation combined with human proofreading to translate this document to different languages in order to help you better understand the content of this document. Note: Even the most advanced machine translation cannot match the quality of professional translators. Huawei shall not bear any responsibility for translation accuracy and it is recommended that you refer to the English document (a link for which has been provided).
RDS for PostgreSQL

RDS for PostgreSQL

Location-based Applications

As a good choice for location-based applications, RDS for PostgreSQL supports the PostGIS plug-in, which allows you to use the objects, indexes, operation functions, and operators that are specifically used for space information services.

Figure 34-9 Location app application scenario

R&D Information System

RDS for PostgreSQL supports complex data types and allows you to customize data types. Data that is not frequently used can be dumped to OBS to save storage cost and host space.

Figure 34-10 R&D information system application scenario

Finance and Insurance Systems

RDS for PostgreSQL implements multi-version concurrency control (MVCC) to ensure data consistency. The primary and standby instances synchronize data, storing the same data at two locations to prevent data loss. Cold data is stored dumped to OBS, reducing the cost of storing historical data.

Figure 34-11 Financial insurance application scenario


RDS for PostgreSQL is highly stable when dealing with high concurrency for Internet applications. All operations can be performed using SQL in RDS for PostgreSQL without data import and export, which improves development efficiency.

Figure 34-12 Online shopping application scenario
Updated: 2019-04-23

Document ID: EDOC1100026685

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