Category: Amazon DynamoDB

It’s easy to start filling an Amazon DynamoDB table with data. However, without forethought about organizing your data, you can limit your data-retrieval options later. Data organization and planning for data retrieval are critical steps when designing a table. Without proper data organization, the only options for retrieving data are retrieval by partition key or […]

AWS re:Invent 2018 is almost here! This post includes a complete list of Amazon DynamoDB sessions, workshops, and chalk talks at AWS re:Invent 2018. Use the information on this page to help schedule your conference week in Las Vegas this year. If you still haven’t registered for re:Invent and need some help convincing your manager, consider […]

Amazon DynamoDB is a nonrelational database that delivers reliable performance at any scale. It’s a fully managed, multiregion, multimaster database that provides consistent single-digit millisecond latency, and offers built-in security, backup and restore, and in-memory caching. This blog post recaps DynamoDB highlights from the last 18 months. Read this post to learn how to fuel your […]

Customers tell us that migrating data between different database engines—also known as a heterogeneous migration—can be challenging and time consuming. Some customers such as Samsung had to figure out on their own how to migrate their Apache Cassandra databases to Amazon DynamoDB (see Moving a Galaxy into the Cloud: Best Practices from Samsung on Migrating […]

More than 100,000 AWS customers have chosen Amazon DynamoDB for mobile, web, gaming, ad tech, IoT, and many other applications. For example, Duolingo uses DynamoDB to store 31 billion items in tables that reach 24,000 read capacity units per second and 3,300 write capacity units per second. DynamoDB can address a wide variety of applications […]

Amazon DynamoDB is a nonrelational database with high performance at any scale. It is a fully managed service that adapts to your throughput needs, with built-in security, backup, and data protection. More than 100,000 developers have chosen DynamoDB for mobile, web, gaming, ad tech, IoT, and other applications that need low-latency data access. However, we […]

Many database solutions are available today, and choosing the right one for your use case can be difficult. Recently, NoSQL databases have been widely adopted for real-time web applications. Amazon DynamoDB is an example of a NoSQL database that is optimized to yield significant flexibility and performance benefits over a traditional relational database management system […]

AWS customers use Amazon DynamoDB to store mission-critical data. These customers’ applications make millions of requests per second to individual DynamoDB tables that contain hundreds of terabytes of items. They count on DynamoDB to return results in single-digit milliseconds. In many cases, these applications have requirements to notify other systems and users about specific transactions, […]

A user profiling system is a system that stores users’ names, IDs, contact information, past behaviors, interests, and other information. Such a system also provides methods to query that user information. In this post, I explain the importance of a globalized user profiling system, how to create this system using Amazon DynamoDB global tables, and […]

In a previous AWS Database Blog post, I introduced Z-order indexing, a way in which you can sort your data to efficiently query an Amazon DynamoDB table by using range bounds on multiple attributes. In this post, we explore the process of creating a schema for your index. We look at how to decide which […]