Tag: Amazon DynamoDB

In this post, we discuss an automotive manufacturing information management use case where we store information about components within a vehicle as well as the hierarchy between each of the components. For our automotive use case, we use Amazon DynamoDB to deliver transactional queries, such as component attribute lookups. We will also show you how to use DynamoDB for larger responses such as a recursive query for all the components in a vehicle. While recursive object relationships can be represented in graph databases and possibly traditional RDBMS (with complex joins), these deeper queries can also be represented in DynamoDB.

Update: For loading data into new DynamoDB tables, use the Import from S3 feature (announced on August 2022). Hundreds of thousands of customers use Amazon DynamoDB for mission-critical workloads. In some situations, you may want to migrate your DynamoDB tables into a different AWS account, for example, in the eventuality of a company being acquired […]

Some applications require you to record changes to data over time, and you can identify these changes by a timestamp or number so it’s possible to retrieve specific versions later. In addition, you should be able to easily retrieve the most recent version and the design of the application to maintain data integrity as versions […]

2020 has been another busy year for Amazon DynamoDB. We released new and updated features that focus on making your experience with the service better than ever in terms of reliability, encryption, speed, scale, and flexibility. The following 2020 releases are organized alphabetically by category and then by dated releases, with the most recent release […]

This is a guest post by David Ting, VP of Engineering at Nylas. In their own words, Nylas is a pioneer and leading provider of universal communications APIs that allow developers to quickly connect their applications to every email, calendar, or contacts provider in the world. Over 26,000 developers around the globe use the Nylas […]

This is a guest post from Ken Wu, Chief Technology Officer, and Steve Gordon, Director of Engineering at caresyntax. caresyntax provides the needed tools to make surgery smarter and safer. Our solutions use IoT, analytics, and AI technologies to automate clinical and operational decision support for surgical teams and support all outcome contributors. We help […]

When using a NoSQL database such as Amazon DynamoDB, I tend to make different optimization choices than what I am accustomed to with relational databases. At the beginning, it was not easy for me, because my relational database experience was telling me to do things differently. To help with that, AWS released NoSQL Workbench for […]

This is a guest post by Keisuke Utsumi, a Software Engineer with TVer Technologies Inc. In their own words, “TVer Technologies Inc. offers interactive entertainment services to users using a synchronized website with a TV broadcast.” TVer Technologies Inc. provides website and app-based interactive content for TV viewers in Japan. Many of our applications use […]

Amazon DynamoDB backup and restore provides simple, fully automated features to create continuous and on-demand backups of your DynamoDB tables and then restore data from those backups. With point-in-time recovery (PITR), you can create continuous backups of your DynamoDB table data. DynamoDB can back up your data with per-second granularity and restore to any given second […]

Amazon DynamoDB is a fully managed service that delivers single-digit millisecond performance at any scale. It is fully managed, highly available through behind-the-scene Multi-AZ data replication, supports native write-through caching with Amazon DynamoDB Accelerator (DAX) as well as multiple global secondary indexes. Developers can interact with DynamoDB using the AWS SDK in a rich set […]