Category: Amazon DynamoDB

Database migration is a complex process that usually involves capacity planning, data migration and cutover strategies, hardware and software procurement, and a lengthy debugging and testing schedule. The common challenge in migrating from a relational database to a non-relational database is selecting the appropriate modeling technique and migration technologies. This is the second part of […]

Authorized Amazon DynamoDB users can perform actions against tables using the AWS Management Console, API, AWS CLI/SDK, or AWS CloudFormation. One of many possible operations that authorized users can perform is deleting a table. During the course of regular table management operations, authorized users might accidentally delete a table. Accidental deletion of a table can […]

This post is co-written with Sanjna Srivatsa, Data Scientist at VMware. Amazon DynamoDB provides discounts ranging from 50 percent to 77 percent to customers who commit to paying for a minimum usage level, called reserved capacity. In this post, you learn how to use historical DynamoDB usage data to make your first DynamoDB reserved capacity […]

Point-in-time recovery (PITR) in Amazon DynamoDB is a fully managed capability that creates continuous backups of your DynamoDB table data. Continuous backups are important to ensure business continuity and compliance with regulations, and to protect against human errors, such as unintended writes or deletes. When PITR is enabled for a DynamoDB table, DynamoDB automatically backs […]

Relational database management system (RDBMS) technology was the preferred choice for data storage for decades. In recent years, the rise of internet-scale applications and exponential data growth have challenged the way industries have designed their database strategies. Organizations are seeing clear benefits in scalability and performance by migrating mission-critical online transactional systems built on RDBMS […]

For newcomers to DynamoDB, the learning curve can be steep, so we developed DynamoDB Shell (ddbsh), an open-source command line interface for Amazon DynamoDB. One of the objectives of ddbsh is to provide a simple and intuitive environment for newcomers to DynamoDB that allows them to get started by running familiar SQL-like commands. The query […]

When you decide to run applications across multiple geographic regions, there are many questions you need to answer. First, what are the business drivers? Resiliency? It might turn out that your application requirements for resiliency, such as availability and disaster recovery, can be satisfied within a single AWS Region. If you do need a multi-region […]

In Part 1 of this series, you learned about Amazon DynamoDB data loading strategies and the behavior of DynamoDB during short runs. In Part 2, you learned about query performance and the adaptive behavior of DynamoDB during sustained activity. In this third and final post, we review what you’ve learned, plus offer a few additional […]

In the Part 1 of this series, you learned about Amazon DynamoDB data loading strategies and the behavior of DynamoDB during short runs. In this post, you learn about query performance and the adaptive behavior of DynamoDB during sustained activity. Querying To drive traffic at arbitrarily large rates and simulate real-world behavior, we need a […]

The general rule with Amazon DynamoDB is to choose a high cardinality partition key. But why; and what happens if you don’t? Inspired by a customer use case, we dive deep into this question and explore the performance of loading and querying DynamoDB using different partition key designs and table settings. After each experiment, we […]