A fast, scalable, and serverless time-series database service for IoT and operational applications. Automatically scales up or down to adjust capacity and performance, so you do not need to manage the underlying infrastructure.
A MySQL and PostgreSQL-compatible relational database built for the cloud. Up to 5x faster than standard MySQL and 3x faster than standard PostgreSQL. Supports Aurora Serverless for automatic scaling.
A fully managed, in-memory cache for DynamoDB that delivers up to 10x performance improvement. Reduces response times from milliseconds to microseconds, even at millions of requests per second.
A fast, scalable, and highly available document database service that supports MongoDB workloads. Designed from the ground up to give you the performance, scalability, and availability you need when operating mission-critical MongoDB workloads.
A fully managed NoSQL key-value and document database that delivers single-digit millisecond performance at any scale. Supports both key-value and document data models with built-in security, backup, and in-memory caching.
An ordered flow of information about changes to items in a DynamoDB table. Captures a time-ordered sequence of item-level modifications and stores the data for up to 24 hours. Commonly used with Lambda triggers.