Category: Database

This blog post gives you a quick overview of how you can use the AWS Schema Conversion Tool (AWS SCT) data extractors to migrate your existing data warehouse to Amazon Redshift. Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze all your data using your existing business intelligence […]

Anurag Gupta runs a number of AWS database services, including Amazon Aurora, which he helped design. In this under the hood series, Anurag discusses the design considerations and technology underpinning Aurora. In my last post, I talked about the benefits of using a quorum model. I discussed how such systems are resilient in the face […]

Alexander Patrikalakis and Sasha Slutsker are senior software development engineers with Amazon. TL;DR 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 […]

Anurag Gupta runs a number of AWS database services, including Amazon Aurora, which he helped design. In this Under the Hood series, Anurag discusses the design considerations and technology underpinning Aurora. Amazon Aurora storage is a highly distributed system that needs to meet the stringent performance, availability, and durability requirements of a high-end relational database. […]

This post is from Matt Merriel at AWS partner Kloud, and Marc Teichtahl, manager for AWS Partner Solutions Architecture Australia and New Zealand. Kloud uses the new stop and start capabilities in Amazon RDS to lower costs for customers who don’t require 24×7 access to their databases during the testing and development phases of their […]

Sandeep Kariro is a big data architect and Akm Raziul is a database architect at Amazon Web Services. Enterprises have been using closed-source database systems for more than four decades. Managing data with these systems has been a critical part of running a successful business in every organization. You have to make a considerable investment […]

Dhruv Thukral is a solutions architect at Amazon Web Services. Amazon Aurora is rapidly becoming the relational database of choice for some of the largest and fastest-growing gaming companies in the world. Companies like Zynga and Double-Down Interactive in the Americas, and Grani and Gumi in Asia Pacific, use Amazon Aurora. Aurora gives them the […]

When we think about database storage, the dimensions that matter are the size, latency, throughput, and IOPS of the volume. IOPS stands for input/output (operations) per second, and latency is a measure of the time it takes for a single I/O request to complete. As you can imagine, latency and IOPS are closely related and […]

Linda Wu is a product manager at Amazon Web Services. When we built Amazon Aurora a few years ago, we had the following tenets in mind: Combine the speed and availability of a high-end commercial database with the simplicity and cost-effectiveness of open source. Deliver full compatibility with the popular open-source database MySQL so that […]

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 you set up a relationship across multiple tables in which, based on the value of an item […]