Category: Amazon DynamoDB

Amazon DynamoDB offers two types of backups: point-in-time recovery (PITR) and on-demand backups. PITR is used to recover your table to any point in time in a rolling 35 day window, which is used to help customers mitigate accidental deletes or writes to their tables from bad code, malicious access, or user error. On demand […]

In this post, we show you a case study of an e-commerce site that had relational database management system (RDBMS) performance problems and how Amazon DynamoDB contributed to their solution. ZOZO has large-scale sale events requiring engineers to monitor and respond in real time to ensure that the service runs without problems. DynamoDB helped ZOZO […]

To take advantage of the performance, security, and scale of Amazon DynamoDB, customers want to migrate their data from their existing NoSQL databases in a way that is cost-optimized and performant. In this post, we show you how to migrate data from Azure Cosmos DB to Amazon DynamoDB through an offline migration approach using AWS […]

February, 2025: As of November 1, 2024, Amazon DynamoDB has reduced its pricing, offering a 50% reduction for on-demand throughput. These post was updated to reflect this change. For complete details about these pricing changes, visit New – Amazon DynamoDB lowers pricing for on-demand throughput and global tables. Today we’re launching new functionality that makes […]

This is a guest post by Alex DeBrie, an AWS Hero. For people learning about Amazon DynamoDB, the idea of single-table design is one of the most mind-bending concepts out there. Rather than the relational notion of having a table per entity, DynamoDB tables often include multiple different entities in a single table. You can […]

Amazon DynamoDB is a fully managed, serverless, key-value NoSQL database designed to run high-performance applications at any scale. DynamoDB can store and retrieve any amount of data. As the data grows and becomes cold, many use cases such as session management or order management require archival of the older unneeded items. DynamoDB has a feature […]

Customers across all industries use Amazon DynamoDB as the primary database for their mission critical workloads. DynamoDB is designed to provide consistent performance at any scale. To take advantage of this performance, one of the most important tasks to complete is data modeling. Your success with DynamoDB depends on how well you define and model […]

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Amazon Web Services (AWS) recently announced new features in AWS Backup for Amazon DynamoDB on-demand backups that can help you meet your compliance, business continuity, and cost-optimization needs. In this post, we describe these features and provide a step-by-step guide for using them to copy DynamoDB backups across AWS Regions and across accounts, configure your […]

In this post, I demonstrate how to optimize querying a large amount of data in Amazon DynamoDB by using parallelism – splitting the original query into multiple parallel subqueries – to meet these strict performance SLAs for large DynamoDB database queries. During our engagements with customers, we often need to retrieve a large number of […]