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Dimension | TencentDB for MongoDB | Self-Built MongoDB |
Cost-effectiveness | You don't have to invest in hardware and software. Multiple specification options (such as High IO and Ten-Gigabit High IO) are available for your choice. You can apply for required resources based on your actual business conditions and pay only for what you use. | A single storage server is costly. If you want a high-availability primary/secondary instance (replica set), you will have to purchase three servers, which may cause resource redundancy and waste. In addition, you need to recruit professional database administrators, which also means high labor costs. |
Service availability | Hot backup is supported based on two or more servers, with automatic disaster recovery, failover, and imperceptible migration features available. In addition, the same read preference from the secondary databases as the native MongoDB is offered to ensure high read concurrency capability. | You need to fix failures and build primary/secondary replica cluster architecture and RAID on your own. |
Data reliability | The system ensures exceptional data reliability, featuring a comprehensive automatic backup mechanism and lossless recovery capabilities. With real-time hot standby support, data can be restored to any point within the last 5 days (Note: If the volume of operations between two backup points exceeds the oplog capacity, restoration to intermediate time points between backups will not be possible). | You need to protect your data on your own, and the data reliability is subject to hardware failure rate and database management skills of technical personnel. |
System security | DDoS protection and fixes of various database and host security vulnerabilities are provided automatically. | You need to fix vulnerabilities on your own. |
Real-time monitoring | Multidimensional monitoring and automatic failure alarming are available in an unattended manner. | You need to develop your own monitoring system, and Ops personnel are often required to fix failures overnight, which incurs high Ops costs. |
Business scaling | Quick scaling is available for fast deployment and service launch. | You need to procure hardware, host data centers, redeploy applications, and complete other tedious work on your own, which makes business scaling much slower. |
Resource utilization | Resource requests can be made on demand to achieve 100% resource utilization. | Business peaks are prone to leading to low average load and low resource utilization. |
Performance bottleneck | New PCI-E SSD storage media and new-gen storage engines are adopted, with customizable performance tuning features to help improve the performance of specific components. | The open-source MongoDB is not specifically optimized, and its use is limited in certain scenarios. |
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