Category: Amazon DynamoDB

Amazon DynamoDB is a non-relational key/value store database that provides incredible single-digit millisecond response times for reading or writing, and is unbounded by scaling issues. But as in any key/value store, it can be tricky to store data in a way that allows you to retrieve it efficiently. The most efficient method is to fetch […]

Alexander Patrikalakis and Sasha Slutsker are senior software development engineers with Amazon. At Amazon, teams all across the company build upon AWS services just like AWS’s external customers. Here we have a contribution from Alex and Sasha, who work on teams supporting Amazon.com about a new client library that they developed to make their applications […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Updated May 2021. This post describes some common use cases you might encounter, along with their design options and solutions, when migrating data from relational data stores to Amazon DynamoDB. We will consider how to manage the following scenarios: How do […]

Joseph Idziorek is a product manager at Amazon Web Services. AWS recently launched Amazon DynamoDB Accelerator (DAX), a highly available, in-memory cache for Amazon DynamoDB. If you’re currently using DynamoDB or considering DynamoDB, DAX can offer you response times in microseconds and millions of requests per second. When developers start using DAX, they tell us […]

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Adam Wagner is a solutions architect at Amazon Web Services. Earlier this year, Amazon DynamoDB released Time to Live (TTL) functionality, which automatically deletes expired items from your tables, at no additional […]

Update from May 29, 2018: Today, we published Z-order indexing for multifaceted queries in Amazon DynamoDB: Part 2. TL;DR Using Z-order indexing, you can efficiently run range queries on any combination of fields in your schema. Although Amazon DynamoDB doesn’t natively support Z-order indexing, you can implement the functionality entirely from the client side. A single […]

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. We find that customers running AWS workloads often use both Amazon DynamoDB and Amazon Aurora. Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency […]

Gisung Lim is a security solutions architect at Amazon Web Services Korea and Sangpill Kim is an enterprise solutions architect at Amazon Web Services Korea. This blog post explains how to enhance the privacy and security of data transfers between Amazon DynamoDB and your corporate network using the new Amazon VPC Endpoints for DynamoDB (currently in public preview). With […]

Edin Zulich, AWS NoSQL solutions architect It’s easy to delete a table in Amazon DynamoDB, and that means that it’s easy to delete one by accident, too. Fortunately, you can minimize the risk of accidentally deleting a table using AWS Identity and Access Management (IAM), which provides authentication and access control for DynamoDB. As a […]

September 2022: This post was reviewed and updated for accuracy. This blog post covers important considerations and strategies for choosing the right partition key for designing a schema that uses Amazon DynamoDB. Choosing the right partition key is an important step in the design and building of scalable and reliable applications on top of DynamoDB. […]