Provides multi-layer security protection systems, including VPC, subnet, security group, DDoS protection, and SSL secure access, to defend against network attacks.
Uses the distributed architecture. Scales up storage by adding nodes to meet your service requirements. Provides smooth scaling without interrupting your services or modifying code.
Uses two types of the HA architecture: replica set and cluster. Automatically creates multiple copies for data recovery. One-click recovery avoids data loss caused by misoperations.
Provides a management console. You can restart, back up, and restore DB instances with just a few clicks and monitor CPU utilization and IOPS in real time.
In MongoDB, you can store players' data, such as their equipment and points, and you can use distributed MongoDB to cope with high concurrency during peak gaming hours.
Embedded documents eliminate JOIN, reducing the complexity of application development. Flexible schemes also facilitate rapid development and iteration.
Shared clusters are suitable for storing TB-level data.
Mobile apps, including those for shared taxis, live TV, and social media platforms, need to collect users' location information, and store, query, and analyze various types of complex data. DDS is compatible with MongoDB, which supports unstructured data models and provides powerful query capabilities.
DDS can store geographical location.
DDS provides 2D geospatial indexes to calculate geographical locations, text indexes to support text search, and TTL indexes to expire documents.
Intelligent IoT terminals need to collect various types of data, store device logs, and analyze information in multiple dimensions. In recent years, IoT services have grown rapidly, with huge volumes of data and increasing access traffic that require horizontal expansion capabilities for data storage.
DDS sharded cluster provides high write performance to meet the requirements of terabyte-scale databases.
DDS supports applications with high QPS rates, and its sharding architecture can be scaled in or out to flexibly cope with application changes.
The big data industry needs to process TB-level data and has requirements for data storage, real-time online writing of data to databases, and big data computing and dynamic analysis.
DDS meets data analysis requirements, allows you to query statements or scripts, and distributes requests to MongoDB.
DDS can be scaled up to support content management systems with growing services and data.
Stores unstructured and complex types of data and provides powerful query capabilities.
Single nodes are cost-effective. Three-node replica sets ensure high availability. Distributed clusters support horizontal scaling.
The single node is suitable for storing non-core data, and is preferred for environment testing, learning and training, and internal enterprise systems.
A replica set consists of three nodes: primary, secondary, and hidden. If the primary node is faulty, the secondary node assumes its role. If the secondary node is unavailable, a hidden node will take over services to ensure high availability.
A DDS sharded cluster consists of mongos, config, and shard. Data read and write requests are forwarded by mongos, while mongos reads configuration settings from config and allocates the read and write requests to shards, making it easy to cope with high concurrency scenarios.
Provides a visualized database management and monitoring platform.
DDS provides DB instance creation, backup, and restoration functions, and log and parameter management.
DDS provides real-time monitoring information about CPU utilization, IOPS, the number of active connections, and disk usage, and allows you to customize alarm rules.
Provides multi-layer protection for data security and works with OBS to restore data quickly.
VPCs allow you to create private, isolated virtual networks
SSL encryption ensures the security of transmitted data.
Security groups define IP address and port rules, enhancing the security of access between DDS and other services.
The automated backup policy is enabled by default. Data is automatically backed up every day and stored in OBS. You can restore backups to a new instance quickly.