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Management ToolsProduct Overview
| Advantages | Cloud Database | Self-built Database |
|---|---|---|
|
Price
|
No software/hardware investment required, multiple selections (high I/O edition and large-capacity edition) are available, and fees are charged on demand. |
The cost of a single storage server is high (if master/slave mode is required, two devices need to be purchased to implement resource redundancy). Recruitment of professional DBA engineers is required. |
|
Service availability
|
Up to 99.95% service availability; compliant with high industry standards. A professional team provides 24x7 service, 1-on-1 guidance, and QQ remote assistance. |
Faults need to be rectified by users, and users need to build the master/slave mode and RAID. |
|
Data reliability
|
Up to 99.9996% data reliability. It boasts a perfect automatic data backup mechanism with complete restoration (real-time hot backup, restoration of data at any time point within 5 days). |
Users need to safeguard data reliability, which relies on hardware fault occurrence rates and technician database management skills. |
|
Monitoring
|
It integrates about twenty professional database monitoring technologies and gives failure alerts, putting you at ease. |
Users need to develop a database monitoring system and Ops personnel may have to troubleshoot failures during overtime. |
|
Ops
|
Users do not need to worry about installation, deployment, version update, and troubleshooting for MongoDB; these are all taken care of by the cloud database Ops team. Election behavior inside a cluster, troubleshooting, and data migration are completely transparent to users. |
Users are responsible for installing the database and deploying the multi-mode replica set. Users need to manually back up data and perform data restoration. |
Function Description
Powerful hardware provides performance guarantee.
The physical model using the ultra-large memory and high-performance SSD to supports mass access.
The instances of the high IO edition support a maximum access count of 30000 QPS.
Price
| Type | Specifications (1 Primary, 1 Secondary, and 1 Arbiter) | Monthly Package (CNY) | Specifications (1 Primary, 2 Secondary) | Monthly Package (CNY) |
|---|---|---|---|---|
| High IO | 1-core 2G | 225 | 1-core 2G | 325 |
| High IO | 2-core 4G | 450 | 2-core 4G | 650 |
| High IO | 2-core 6G | 675 | 2-core 6G | 975 |
| High IO | 4-core 8G | 900 | 4-core 8G | 1300 |
| High IO | 4-core 12G | 1350 | 4-core 12G | 1950 |
| High IO | 6-core 16G | 1800 | 6-core 16G | 2600 |
| High IO | 10-core 24G | 2700 | 10-core 24G | 3900 |
| High IO | 12-core 32G | 3600 | 12-core 32G | 5200 |
| High IO | 18-core 48G | 5400 | 18-core 48G | 7800 |
| High IO | 24-core 64G | 7200 | 24-core 64G | 10400 |
| Master/Slave/Arbiter: 1.6 CNY/GB/month; 1 Primary/2 Secondary: 2.4 CNY/GB/month. | ||||
Application Scenarios
Common scenarios
Non-relational data structure also meets the requirements of various development scenarios and performance is no different from or even superior to the relational database.
Quick changing businesses
Business of start-up companies changes rapidly. Cloud MongoDB can cope with such changes incredibly well, with its elastic and flexible data modes.
High concurrent read/write operations
Cloud MongoDB excels in highly concurrent read/write performance; and is suitable for scenarios where high read/write concurrency is necessary.
Data analysis
Cloud Mongo internally supports map-reduction framework and can aggregate and analyze large amounts of data.