AWS Database Blog

Tag: design patterns

Amazon DynamoDB: Ad tech use cases and design patterns

Advertising technology (ad tech) companies use Amazon DynamoDB to store various kinds of marketing data, such as user profiles, user events, clicks, and visited links. Some of the uses include real-time bidding (RTB), ad targeting, and attribution. In this blog post, I identify the most common use cases and design patterns of ad tech companies […]

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Amazon DynamoDB: Gaming use cases and design patterns

Gaming companies use Amazon DynamoDB in all parts of game platforms, including game state, player data, session history, and leaderboards. The main benefits that these companies get from DynamoDB are its ability to scale reliably to millions of concurrent users and requests while ensuring consistently low latency—measured in single-digit milliseconds. In addition, as a fully […]

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Design patterns for high-volume, time-series data in Amazon DynamoDB

Time-series data shows a pattern of change over time. For example, you might have a fleet of Internet of Things (IoT) devices that record environmental data through their sensors, as shown in the following example graph. This data could include temperature, pressure, humidity, and other environmental variables. Because each IoT device tracks these values over […]

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DynamoDB Streams Use Cases and Design Patterns

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Updated May 2021. This post describes some common use cases you might encounter, along with their design options and solutions, when migrating data from relational data stores to Amazon DynamoDB. We will consider how to manage the following scenarios: How do […]

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