AWS Database Blog

Category: Amazon DynamoDB

Cost-effective bulk processing with Amazon DynamoDB

January 2025: The calculations in this post have been updated following DynamoDB’s 50% reduction in on-demand throughput pricing. Refer to New – Amazon DynamoDB lowers pricing for on-demand throughput and global tables to learn more. Your Amazon DynamoDB table might store millions, billions, or even trillions of items. If you ever need to perform a […]

How Twilio modernized its Messaging Postflight service data store with Amazon DynamoDB

Twilio is a customer engagement platform that drives real-time, personalized experiences for leading brands. Twilio has democratized communications channels like voice, text, chat, and video by virtualizing the world’s telecommunications infrastructure through APIs that are simple enough for any developer to use, yet robust enough to power the world’s most demanding applications. Twilio supports an […]

Migrate data from Apache HBase to Amazon DynamoDB

Over the last few years, organizations have started adopting a cloud first strategy, and we are seeing enterprises migrate their mission-critical applications, along with their data platforms, to the cloud. Occasionally, organizations need guidance in selecting the right service and solution in the cloud, along with an approach to assist with the migration. In this […]

Backup strategies for Amazon DynamoDB

One of the most important questions when discussing databases is “How will we backup and restore our data?” Backups are a central component of any disaster recovery strategy and are primarily governed by your Recovery Point Objective (RPO) and Recovery Time Objective (RTO). You want to make sure your backup strategy supports your needs with […]

How Deliveroo migrated their Dispatcher service to Amazon DynamoDB

Deliveroo operates a hyperlocal, three-sided marketplace, connecting local consumers, restaurants and grocers, and riders to fulfil purchases in under 30 minutes. By offering fast and reliable delivery that consumers can track online, Deliveroo has grown rapidly. It operates in several markets worldwide, working with thousands of restaurants, grocers, and riders, and serving millions of consumers. […]

Motivations for migration to Amazon DynamoDB

Amazon DynamoDB is a fully managed, serverless, key-value NoSQL database for single-digit millisecond performance at any scale. DynamoDB offers built-in security, continuous backups, automated multi-Region replication, 99.999% availability SLA, and data import and export tools. DynamoDB was built working backward from the needs of external customers and internally at Amazon.com to overcome the scale and […]

Automate update of table settings on restored Amazon DynamoDB table

Regular backups are a key component of designing business-critical applications to be resilient in the event of any failure situation. They provide many benefits, the most important being data protection, more efficient recovery of data in the event of disruptions, compliance with organization and legal requirements, and simplified maintenance. Point-in-time recovery (PITR) for DynamoDB provides […]

Evolution of Koo’s database and how they connected millions of voices using Amazon DynamoDB

This post is co-authored with Vivek Yadav from Koo. Koo is a global micro-blogging platform that allows users to share their thoughts and opinions in various languages. Launched in March 2020, the app has quickly gained immense popularity, with millions of users joining the platform to share their views and connect with like-minded individuals. In […]

A framework for Amazon DynamoDB Transactions

Amazon DynamoDB supports transactions to give atomicity, consistency, isolation, and durability (ACID), helping you maintain data consistency in your workloads. A database transaction is a sequence of multiple operations that are performed on one or more tables. These sequences of multiple operations represent a unit of work that is committed to the tables or rolled […]

Working with JSON data in Amazon DynamoDB

Amazon DynamoDB allows you to store JSON objects into attributes and perform many operations on these objects, including filtering, updating, and deleting. This is a very powerful capability because it allows applications to store objects (JSON data, arrays) directly into DynamoDB tables, and still retain the ability to use nested attributes within these objects in […]