AWS Database Blog

This post describes how our team inexpensively provided simple output for the empirical analysis of Amazon DynamoDB queries. Our goal was to take a legacy DynamoDB database, transform the data in a novel way, and then store it in a new DynamoDB database. After eight months of hard work on our project, we decided to […]

As your business grows increasingly global, your database needs similarly expand. Resources must be just as available to your team in Zurich as they are to your office in Beijing, with the same speed, security, and ease of access. Amazon Aurora Global Database expands your Amazon Aurora database across the planet. Aurora builds its storage volumes […]

In this post, we demonstrate how Amazon DynamoDB table structure can affect scan performance and offer techniques for optimizing table scan times. Amazon DynamoDB is a NoSQL database that allows for a flexible schema. This means that items in the same table may differ from each other in terms of what attributes are present for each […]

With AWS Database Migration Service (AWS DMS), you can migrate databases to AWS quickly and securely. In this post, we walk through the sample Python code required to download AWS DMS task logs on to your local computer using the AWS DMS task ID. Overview The DMS task logs contain task information logged during the […]

In this blog post, we discuss AWS purpose-built databases and how to use them to create rich experiences for your customers. We also walk through a detailed example of these databases powering different experiences in an application, and provide the tools you need to spin up the app for yourself in minutes.

Sumo Logic started around the same time as the AWS stack was starting to mature. The company initially chose infrastructure that was tried and tested, but also cutting-edge at the time, namely Amazon RDS for MySQL instances. However, over time, that choice started to cost us a significant number of developer hours. Developers spent time […]

This blog post is the second in a series. The previous blog post talks about the need for the stable, consistent database performance amid changes that otherwise can cause regression on execution plans of the SQL statements. It also demonstrates how query plan management (QPM) for Amazon Aurora with PostgreSQL compatibility helps you overcome plan […]

Like all AWS services, the roadmap for Amazon Aurora PostgreSQL is driven mostly by customer feedback and requests for product enhancement. The feedback from several enterprise customers who have migrated their databases from Oracle and Microsoft SQL Server to Amazon Aurora suggests two things. Enterprises that run their database workloads for critical applications require optimal […]

This blog post was reviewed and updated May 2022, to improve readability by adding more step-by-step guidance. SQL Server is a relational database management system developed by Microsoft. Amazon RDS for SQL Server makes it easier to setup, operate, and scale SQL Server deployments in the Cloud. One of the RDS SQL Server components is […]

Dhruv Thukral and Yahav Biran are solutions architects at Amazon Web Services. Amazon Aurora is a relational database that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. Amazon Aurora offers two types of modes: provisioned and serverless. AWS gaming customers that use Aurora have typically observed higher […]