Tag: Amazon DynamoDB

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 […]

As applications evolve to be more scalable for the web, customers are adopting flexible data structures and database engines for their use cases. Using NoSQL data stores has become increasing popular because of NoSQL’s flexible data model for building modern applications. Amazon DynamoDB is a fast and flexible NoSQL database service that can provide consistent […]

October 2024: This post was reviewed for accuracy. Additional guidance was added about the trade-offs between high and low timeout settings. Amazon DynamoDB is a NoSQL cloud database service that is designed to provide low-latency and high-throughput performance for applications and services running at scale. Example use cases include: Massively multiplayer online games (MMOGs) Virtual […]

Back in college, I created entity-relationship diagrams to model the system requirements of a relational database. The process involved finding all of the entities of the software system and defining relationships among them. I then modeled the relationships and entities into database tables before deciding which queries the database had to support. This method of […]

Since its release in 2012, Amazon DynamoDB has become a fully managed, multi-region, multimaster database service designed to deliver fast and predictable performance at any scale. DynamoDB is a NoSQL database that provides three options for performing operations: a web-based console, the AWS Command Line Interface (CLI), and a set of SDKs for a number […]

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 […]

AWS CTO Werner Vogels often jokes that AWS is in the business of “pain management for enterprises,” which gets to the root of many of the IT challenges AWS customers face. Simply asking “Where can we provide customers the most benefit?” often results in a discussion of databases and related license costs, performance and scalability […]

Seven years ago today, AWS CTO Werner Vogels announced the release of Amazon DynamoDB. We developed DynamoDB on the core principles from a whitepaper published in October 2007, and over the last seven years, we have continued to build this fast and flexible NoSQL database service for any scale, one of a selection of AWS […]

More and more, AWS customers want to make their applications available to globally dispersed users by deploying their application in multiple AWS Regions. These global users expect fast application performance. In this post, I describe how to use Amazon DynamoDB to power the database of a global backend deployed in multiple AWS Regions. I use […]

In this post, I demonstrate several ways to use global secondary indexes to query your data, accelerate your application’s performance, and reduce your monthly DynamoDB bill.