Posted On: Nov 20, 2023
Today, we are announcing the general availability of Amazon DocumentDB (with MongoDB compatibility) I/O-Optimized in Amazon Web Services China (Beijing) Region, operated by Sinnet, and in Amazon Web Services China (Ningxia) Region, operated by NWCD. Amazon DocumentDB I/O-Optimized is a new storage configuration for database clusters that provides improved price performance and predictable pricing for customers with I/O-intensive applications. Amazon DocumentDB I/O-Optimized offers improved performance, increasing throughput and reducing latency for customers’ most demanding workloads. With Amazon DocumentDB I/O-Optimized, there are zero charges for read and write I/O operations—you only pay for your database instances and storage usage, making it easy to predict your database spend up front. Amazon DocumentDB I/O-Optimized offers up to 40% cost savings for I/O-intensive applications where I/O charges exceed 25% of the total Amazon DocumentDB database spend.
You can now choose between two storage configurations for every database cluster: Amazon DocumentDB Standard or Amazon DocumentDB I/O-Optimized. For applications with low-to-moderate I/Os, Amazon DocumentDB Standard is a cost-effective option. For applications with high I/Os, Amazon DocumentDB I/O-Optimized provides improved price performance, predictable pricing, and up to 40% costs savings. You can switch your cluster with a single click in the Amazon Web Services Management Console or with a command through the Amazon CLI. You can switch existing database clusters to Amazon DocumentDB I/O-Optimized once every 30 days and switch back to Amazon DocumentDB Standard at any time.
Amazon DocumentDB I/O-Optimized is available on DocumentDB 5.0 instance-based clusters. You can use in-place major version upgrade (MVU) to upgrade your version to DocumentDB 5.0.
To learn more, visit the Amazon DocumentDB pricing page and storage configuration in our developer guide. For an overview of Amazon DocumentDB and its capabilities, visit our product page.