Category: Amazon DynamoDB

From January through September of 2022, Amazon Web Services (AWS) customers visited the following five Amazon DynamoDB blog posts more than all others. Use this list (starting with most visited) to see what other customers have been reading and decide what to learn next. Amazon DynamoDB can now import Amazon S3 data into a new […]

Today’s online games generate more data than ever and have request rates that reach millions per second. For these data-intensive games, it’s important for developers to select a database that delivers consistent low latency at any scale and has throughput elasticity to accommodate spikes in traffic without costly overprovisioning during low activity periods. This is […]

The command query responsibility segregation (CQRS) pattern, derived from the principle of command-query separation, has been popularized by the domain-driven design community. CQRS architectures that use event sourcing save generated events in an append-only log called an event store. By using event sourcing, you can, among other benefits: Design applications to update a database and […]

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 […]

Today we’re launching new functionality that makes it easier for you to import data from Amazon Simple Storage Service (Amazon S3) into new DynamoDB tables. This is a fully managed feature that doesn’t require writing code or managing infrastructure. In this post, we introduce DynamoDB import from S3 and show you how to use it […]

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 […]