AWS Database Blog

Tag: DynamoDB

Understanding Amazon DynamoDB encryption by using AWS Key Management Service and analysis of API calls with Amazon Athena

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 […]

Tuning AWS Java SDK HTTP request settings for latency-aware Amazon DynamoDB applications

September2022: This post was reviewed for messaging and accuracy. 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 and augmented reality Checkout and order processing in ecommerce Real-time stock pricing […]

How to design Amazon DynamoDB global secondary indexes

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 […]

Everything you ever wanted to know about the Amazon DynamoDB console but were afraid to ask: A detailed walkthrough

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 […]

Amazon DynamoDB auto scaling: Performance and cost optimization at any scale

September 2022: This post was reviewed for messaging and accuracy. Scaling up database capacity can be a tedious and risky business. Even veteran developers and database administrators who understand the nuanced behavior of their database and application perform this work cautiously. Despite the current era of sharded NoSQL clusters, increasing capacity can take hours, days, […]

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 […]

How to determine if Amazon DynamoDB is appropriate for your needs, and then plan your migration

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 […]

Resolve to follow Amazon DynamoDB best practices in 2019

We recommend that you follow Amazon DynamoDB best practices in 2019 to help you maximize the performance and optimize the costs of your mission-critical workloads when working with DynamoDB. This post highlights DynamoDB content that will help you keep such a resolution. Design and use partition keys effectively The primary key that uniquely identifies each […]