Compare Serverless Products
Estimates based on serverless:talent research team. Source: Product's Website
Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It's a fully managed, multi-region, multi-active, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications.
DynamoDB differs from other Amazon services by allowing developers to purchase a service based on throughput, rather than storage. If Auto Scaling is enabled, then the database will scale automatically. Additionally, administrators can request throughput changes and DynamoDB will spread the data and traffic over a number of servers using solid-state drives, allowing predictable performance.
Amazon Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora. It automatically starts up, shuts down, and scales capacity up or down based on your application's needs. It enables you to run your database in the cloud without managing any database capacity.
With Aurora Serverless, you simply create a database endpoint, optionally specify the desired database capacity range, and connect your applications. You pay on a per-second basis for the database capacity you use when the database is active, and migrate between standard and serverless configurations with a few clicks in the Amazon RDS Management Console.
Dynamo DB's prices vary according to region, the provided example utilizes the US East (N. Virginia) prices.
Applications with 10M reads ($2,5), 1M writes ($1,25), 1 GB ($0,25) and continuous backup ($0,20) $4,20 USD
A wide variety of payment methods exist, with the smallest database starting at an upfront $243, or $24.82 monthly for a year.
To connect programmatically to an AWS service, you use an endpoint. In addition to the standard AWS endpoints, some AWS services offer FIPS endpoints in selected Regions.
Amazon DynamoDB is a NoSQL database that supports key-value and document data models. Developers can use DynamoDB to build modern, serverless applications that can start small and scale globally to support petabytes of data and tens of millions of read and write requests per second.
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