Product Advantages

Product Advantages

  • Secure

    DDS provides multiple layers of security (including VPCs, subnets, security groups, and data encryption), and SSL secures access for complete protection against network attacks.
    DDS provides multiple layers of security (including VPCs, subnets, security groups, and data encryption), and SSL secures access for complete protection against network attacks.
  • Reliable

    DDS is based on an HA architecture. It automatically creates multiple copies of your data for fast and assured recovery, and allows you to restore data in just a few clicks.
    DDS is based on an HA architecture. It automatically creates multiple copies of your data for fast and assured recovery, and allows you to restore data in just a few clicks.
  • Easy to Use

    DDS allows you to restart, back up, and restore DB instances with just a few clicks on the DDS management console and monitor CPU usage and IOPS in real time.
    DDS allows you to restart, back up, and restore DB instances with just a few clicks on the DDS management console and monitor CPU usage and IOPS in real time.
  • Scalable

    DDS provides smooth scaling. There is no need to interrupt services or modify code to scale up. The distributed architecture means you can scale up storage with ease by just adding nodes to meet your in-the-moment requirements.
    DDS provides smooth scaling. There is no need to interrupt services or modify code to scale up. The distributed architecture means you can scale up storage with ease by just adding nodes to meet your in-the-moment requirements.

Application Scenarios

  • Gaming

  • IoT

  • Internet

Gaming

Gaming

For online games involving huge numbers of concurrent players, DDS offers fast, reliable access to increasingly complex player profiles, including details such as their character score, gadgets acquired and other details. DDS ensures a smooth gaming experience. Schema-free and with MongoDB compatibility, DDS allows you to flexibly change table structures, so that you can continuously improve your game, always adding the coolest new features and staying competitive even in the fiercest markets.

Advantages

Support for Embedded Documents

An embedded (or nested) document is a document nested inside another document. With this data model, you can store different types of related information in a single document, so your applications can quickly retrieve data with fewer queries and joins. Flexible schemas also facilitate rapid development and iteration.

Fast Scalability to Support Peak Demand

Sharding allows you to quickly scale your database up or out to handle fast reads and writes of even terabytes of data.

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IoT

IoT

IoT applications feature high-concurrency writes, diverse data types, and sudden spikes in data volumes. With high performance and asynchronous data writes, DDS is able to process data as fast as in-memory databases when and where needed.

In addition, the quantities and specifications of mongos and shard nodes in DDS cluster instances can be dynamically increased to meet growing demands, making DDS ideal for IoT applications. DDS also provides secondary indexes for dynamic queries and uses a MongoDB-compatible map-reduce aggregation framework to perform the multidimensional data analysis needed by IoT applications.

Advantages

High Write Performance

DDS sharded clusters provide high write performance to meet the requirements of terabyte-scale databases.

High Performance and Scalability

DDS is great for applications that need to handle large numbers of queries per second, and its sharding architecture allows for fast horizontal scaling to keep up with sudden changes in demand.

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Internet

Internet

Internet applications require databases to support a range of data types, massive concurrent data processing, and high availability. DDS replica sets use a three-node architecture to deliver reliability and disaster recovery. The primary and secondary nodes provide services. Each node has an independent private network address and works with the driver to distribute read load.

Advantages

MapReduce

To meet data analysis requirements, you can write your own query statements or scripts, and distribute requests to DDS.

Excellent Scalability

DDS DB instances can be scaled up or out to support growing services and data volumes in content management systems.

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