Relational Database Service
Additional Database Features and Services
Relational Database Service – Database Version
| MySQL | PostgreSQL | Microsoft SQL Server |
|---|---|---|
| 8.0 | 12 | 2017 Enterprise Edition |
| 5.7 | 11 | 2017 Standard Edition |
| 5.6 | 10 | 2017 Web Edition |
| 9.6 | 2016 Enterprise Edition | |
| 9.5 | 2016 Standard Edition | |
| Enhanced Edition | 2016 Web Edition | |
| 2014 Enterprise Edition | ||
| 2014 Standard Edition | ||
| 2014 Web Edition | ||
| 2012 Enterprise Edition | ||
| 2012 Standard Edition | ||
| 2012 Web Edition | ||
| 2008 R2 Enterprise Edition | ||
| 2008 R2 Web Edition |
Enterprise-grade infrastructure in the world’s most advanced data centers.
Custom Deployments
Hardware and connectivity solutions specific to your needs, while you still benefit from all the service JPStream is built on.
| Asia | USA and Latin America | Oceania |
|---|---|---|
| Japan | Miami | Johannesburg |
| Hong Kong | Chicago | Sydney |
| Bangkok | Dallas | |
| Singapore | New York | |
| Shanghai | Los Angeles | |
| Guangzhou | Santiago | |
| Beijin | Mexico | |
| Sao Paolo |
| Instance class | QPS | TPS | Connections | Price |
|---|---|---|---|---|
| MySQL Single DB instances | ||||
| 2 vCPUs | 4 GB | 8,000 | 450 | 1,500 | Starting from ¥0.50/hour Monthly and Yearly subscription available |
| MySQL High Availability DB Instances | ||||
| 4 vCPUs | 16 GB | 24,000 | 1,200 | 5,000 | Starting from ¥200/hour Monthly and Yearly subscription available |
*Contact your executive assistant for quotation
GeminiDB is a distributed, non-relational database service based on our compute and storage separated architecture. Combining the various advantages of the cloud, it provides capabilities such as quick deployment, backup, restoration, monitoring, and alarm reporting. It is compatible with mainstream NoSQL APIs, such as Cassandra and MongoDB APIs, and provides high read/write performance at a lower costs. It is specifically suited for IoT, meteorology, Internet, and gaming sectors.
| Secure | Reliable |
|---|---|
| Various security measures, such as, subnets, security groups, DDoS mitigation, and SSL, are taken to prevent network attacks. | A distributed, fault-tolerant design allows a cluster to withstand the failure of N-1 nodes, and data replication supports three data copies, which are combined to ensure improved data security. |
| Convenient | Scalable |
| The DB instance management console has a graphical user interface, facilitating DB instance creation, deletion, backup, restoration, monitoring, alarm reporting, and scaling. | With the separation of compute and storage architecture, nodes can be added in minutes, while storage space can be scaled up in seconds without interrupting the ongoing services. |
Document Database Service is a MongoDB-compatible database service that is high-performing, secure, highly available, and scalable. It provides a variety of functions including DB instance creation with a few clicks, scaling, disaster recovery, backup, restoration, and monitoring. Currently, DDS provides three DB instance types: cluster, replica set, and single node.
| Secure | Reliable |
|---|---|
| Document Database Service provides multiple layers of security protection (including VPC, subnet, security group, data encryption) and SSL secure access for complete protection against network attacks. | Document Database Service provides two HA architectures: replica set and cluster. It automatically creates multiple copies of your data for fast and assured recovery, and restores data with just a few clicks to prevent data loss caused by operation error. |
| Easy to Use | Scalable |
| Document Database Service allows you to restart, back up, and restore DB instances with just a few clicks on the DB management console and monitor CPU usage and IOPS in real time. | Document Database Service provides smooth scaling without interrupting your services or modifying code. Distributed architecture scales up storage with easy addition of more nodes to meet your in-the-moment requirements. |
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