![]() While most customers benefit from the cost-effectiveness of this pricing, the needs of individual businesses can vary widely based on sudden changes in database queries and I/O consumption from spikes in customer demand, leading to price variability. Aurora provides simple, pay-per-request pricing based on I/O usage, so customers do not need to provision I/Os in advance. Amazon Aurora gives customers the right tool for the job, so that they can optimise for performance, scale, and costs when designing applications. Other database options require less capital expense, but customers often find those cannot achieve the performance or availability of commercial databases. Commercial databases offer high performance and advanced availability features, but are expensive, complex to manage, have high lock-in, and come with punitive licensing terms. Historically, customers have had to choose between performance and price when evaluating database solutions. ![]() Organisations of all sizes and across all industries are looking to optimise their IT spend and maximise the value of their cloud investment, so they can continue to break free of their legacy databases. With Aurora I/O-Optimized, customers can maximise the value of their cloud investment and optimise their database spend by choosing the Aurora configuration that best matches their I/O consumption patterns. For customers with I/O-intensive applications like payment processing systems, e-commerce, and financial applications, I/O-Optimized offers improved performance, increasing throughput and reducing latency to support customers’ most demanding workloads. Today, hundreds of thousands of customers, including Airbnb, Atlassian, and Samsung, rely on Aurora, a fully managed MySQL- and PostgreSQL-compatible relational database that provides the performance and availability of commercial databases at up to one-tenth the cost. Customers can now confidently predict costs for their most I/O-intensive workloads, regardless of I/O variability, helping to accelerate their decision to migrate more of their database workloads to AWS. With the new Aurora configuration, customers only pay for their database instances and storage consumption with no charges for I/O operations.
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