AWS Database Blog

Category: Amazon DynamoDB

Effective data sorting with Amazon DynamoDB

Amazon DynamoDB offers high scalability and performance for applications with varying workloads. While DynamoDB excels at efficiently distributing data across multiple partitions, it inherently follows a specific sorting order based on the schema selected. In this post, we show two example data models, one designed to store e-commerce order information and one to store game […]

Migrate from SQL Server to Amazon DynamoDB with data transformation using a staging table

With the evolution of microservice-based architectures, organizations are increasingly adopting purpose-built databases. Occasionally, businesses need guidance on which cloud service and solutions are best for them, as well as a plan for helping with the migration. When performing heterogeneous database migrations, you might encounter problems with attribute patterns on NoSQL compared to traditional relational database […]

Unlocking performance, scalability, and cost-efficiency of Zomato’s Billing Platform by switching from TiDB to DynamoDB

This post is co-authored with Neha Gupta & Kanica Mandhania from Zomato. Zomato, an India-based restaurant aggregator, food delivery, and dining-out company, operates in over 1,000 cities and lists more than 350,000 restaurants. Since its inception in 2008, Zomato has grown tremendously, both in scope and scale—and has emerged as the leading market player in […]

Know before you go: Amazon DynamoDB sessions at AWS re:Invent 2023

It’s November, which means that AWS re:Invent 2023 is just around the corner! We’ve summarized a list of re:Invent sessions that include Amazon DynamoDB. We encourage readers who are interested in learning more about DynamoDB to bookmark this list to simplify how you schedule your conference week in Las Vegas this year. Keynotes and leadership […]

Use Amazon DynamoDB incremental export to update Apache Iceberg tables

Amazon DynamoDB is a fully managed, serverless, key-value NoSQL database designed to run high-performance applications at any scale. DynamoDB recently launched a new feature: Incremental export to Amazon Simple Storage Service (Amazon S3). You can use incremental exports to update your downstream systems regularly using only the changed data. You no longer need to do a […]

Implement Time to Live in Amazon Neptune, Part 1: Property Graph

Time to Live (TTL) is a mechanism that helps determine the longevity or lifespan of data, files, infrastructure, or even entire environments. When working with data, it could represent the amount of time a leaderboard expires in memory before being reloaded from storage, or how long a file must be kept for regulatory or compliance […]

Archive to cold storage with Amazon DynamoDB

Amazon DynamoDB is a fully managed NoSQL database that provides fast and predictable performance with seamless scalability. Customers across multiple industries utilize DynamoDB as their database of choice. Numerous education technology (EdTech) companies utilize DynamoDB as a persistent data store to track students’ exam scores and course progress. As students advance through various grades, their […]

How Zalando migrated their shopping carts to Amazon DynamoDB from Apache Cassandra

This post is co-written with Holger Macht and Mike Matsumoto from Zalando. Zalando is a leading European online shop for fashion and lifestyle. Founded in Berlin in 2008, Zalando brings head-to-toe fashion to over 50 million active customers, offering clothing, footwear, accessories, and beauty supplies. The assortment of international brands ranges from world-famous names to […]

Implement auto-increment with Amazon DynamoDB

When developing an application with Amazon DynamoDB, sometimes you want new items inserted into a table to have an ever-increasing sequence number. Some databases call this auto-increment and automatically populate the value on insert. Example use-cases could be giving a customer order or a support ticket a numeric identifier. DynamoDB doesn’t provide auto-increment as an […]

Introducing incremental export from Amazon DynamoDB to Amazon S3

Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It’s a fully managed, multi-Region, multi-active, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications. In 2020, DynamoDB introduced a feature to export DynamoDB table data to Amazon Simple Storage Service (Amazon S3) with […]