Document Database Service

Value Proposition

Multidimensional Security Management

Uses functions such as access control policy, firewall protection and white list setting to control all access sources and provide a secure data protection.

High-availability Architecture

Provides the optimized deployment policy for data nodes of the replica set. While guaranteeing the majority node quantity in the main available area, service availability and security can be guaranteed by deploying multiple data centers.

Reliable and Experienced

Cross-host deployment, multi-data center architecture and multi-backup protection mechanism of Ping An Cloud guarantee the business availability and meets the O&M requirements of the financial system.

High-performing Data Processing

Relying on Ping An's years of management experience and production practices in regards to financial systems, it provides DDS with the optimal performance parameter configurations; these can also be flexibly adjusted according to the users’ actual business scenarios.

Simple Operation with the Console

Users can use the console to perform management operations such as addition, deletion, restart, backup and expansion of the DDS replica set; the console also provides multi-dimensional performance monitoring data for user analysis.

Use Cases

Internet of Things Applications
Big Data Applications
Internet Applications

The Document Level Lock feature of the MongoDB with WiredTiger and the efficient asynchronous data entry performance may reach the performance of the memory database in certain scenarios and meets the requirement of the Internet of Things for highly concurrent entries. In addition, the cloud-level scalability provided by the DDS Sharded Cluster supports the access requirement of the Internet of Things for massive data.
Recommend to use with： Elastic Load Balancing Elastic Compute Service Redis

The DDS in dynamic mode provides the features supporting agile development and rapid launch. In addition, the DDS in dynamic mode supports massive data storage, expansion and retraction required by big data applications and meets the requirements for big data calculation and analysis. Relying on Ping An Group's years of experience in financial-level security protection and its capacity in computer room building, a financial-level disaster tolerance system based on offsite multiple data centers is provided to guarantee service continuity and security.
Recommend to use with： Elastic Load Balancing Elastic Compute Service

When the virtual private cloud (VPC), elastic load balancing (ELB) and elastic compute service (ECS) are used to deploy Internet applications, the DDS's features of elastic expansion and diversified data structures can be incorporated to cope with the Internet's demand for diverse data types and large data capacity.
Recommend to use with： Elastic Load Balancing Elastic Compute Service

Success Stories

Ping An Life Insurance

Ping An Puhui

Ping An Trust

Ping An Bank

Product Solution

Supporting Multiple Business Scenarios

It can meet the storage and operation requirements of a number of architectures including structured, semi-structured and unstructured data, supporting rich index types and providing efficient access. Meanwhile, taking advantage of MongoDB Connector, it enables easy handling of multiple business scenarios such as online application, IoT, etc.
Providing Memory-level Operating Efficiency

Taking advantage of memory reading, writing and computing and with the Document Level Lock technical feature of the WiredTiger storage engine, the DDS supports high-concurrency and high-performing database operations. With Ping An's underlying high-performing flash storage support, the DDS can meet the requirements of high concurrency and high throughput for. demanding applications such as finance, telecom and e-commerce.
Providing Storage Capabilities and Automatic Fragmentation of Massive Data

According to the fragmentation mode defined by users, data can be proportioned to the corresponding storage fragments; users or applications do not need to care for or pay attention to the physical storage of data. In addition, cloud-level scalability is supported to meet the demand for application expansion and retraction.
Supporting Agile Development and Flexible Services

The performance loss caused by pre-defining of data structures and structural changes of massive data can be avoided. The dynamic mode feature supports the agile development of applications and improves the change efficiency of users on the database layer, thus reducing user costs. Users may store data as follows to achieve efficient operation and storage of service data: storing structurally fixed data in the relational database (RDS), storing flexible semi-structured or unstructured data in the DDS and storing highly hot data in Redis.
Supporting Storage and Management of Geographic Spatial Data

The DDS supports geographic information queries (such as range, proximity and intersectional geographic information) and enables users to create 2d indexes and 2d sphere indexes; moreover, it enables storage and management of spherical and plane geographic information.
Supporting Inter-server Data Replication and Read/Write Splitting

Taking advantage of the replication feature, nodes are distributed on different physical hosts. Combined with Ping An's powerful capabilities of building multiple remote data center machine rooms, the DDS provides the deployment architecture of three nodes in one site (data center 1 or 2) by default and can support the addition of offsite data nodes as required. The DDS supports user data protection, automatic failover, read/write splitting and local regional autonomy.

Functionality

Creation and Management

Quickly acquiring DDS back-up set clusters: Users can specify the region and capacity specification on the console to easily acquire DDS replica set clusters.

Managing DDS back-up set clusters: Users can perform management operations such as release, restart, backup and expansion of DDS replica set clusters on the console.

Security console: A private bastion host is used to provide database clients in multiple modes for users, thus enabling operations of DDS back-up set clusters to be more flexible and diversified.

Setting Access Policies

Setting network access policies: The network access policies from the tenant VPC to DDS clusters may effectively defend against various malicious attacks, thus ensuring data security.

Setting the access whitelist: A safe list can be set to specify the IP addresses that are allowed to access DDS clusters; acess of the other IP addresses will be denied.

Quick Expansion

Quick expansion of computing resources: The CPU and memory capacity of the instance can be adjusted as required to improve the service processing capacity; a single replica node supports a maximum of 16-core 128 GB memory.

Expansion of storage resources online: The MongoDB does not only support infinite expansion of storage space but is also able to cope with a sudden I/O load, thus providing better I/O expansion capacity.

Backup Management

Customizing backup policies: Users may customize backup retention policies and backup cycles.

Manual backup: Users may manually back up the instances at a certain time point as required.

Monitoring Alarm

Monitoring service: The MongoDB provides multi-dimensional performance monitoring data for user analysis.

Customizing alarm policies: An alarm is automatically generated when the indicator exceeds the specified threshold, thus warning users of risks in advance and helping users quickly locate and solve problems.

Help and Documentation