AWS Database Blog
Category: Intermediate (200)
Running spiky workloads and optimizing costs by more than 90% using Amazon DynamoDB on-demand capacity mode
November 2024: This post was reviewed and updated for accuracy. This is a guest post by Keisuke Utsumi, a Software Engineer with TVer Technologies Inc. In their own words, “TVer Technologies Inc. offers interactive entertainment services to users using a synchronized website with a TV broadcast.” TVer Technologies Inc. provides website and app-based interactive content […]
How realtor.com maximized data upload from Amazon S3 into Amazon DynamoDB
This is a customer post by Arup Ray, VP Data Technology at realtor.com, and Daniel Whitehead, AWS Solutions Architect. Arup Ray would like to acknowledge Anil Pillai, Software Development Engineer at Amazon, for his pioneering contributions to this project during his former tenure at realtor.com as Senior Principal Data Engineer. realtor.com , operated by Move, Inc., […]
Working with RDS and Aurora PostgreSQL logs: Part 2
July 2023: This post was reviewed for accuracy. The first post in this series, Working with RDS and Aurora PostgreSQL Logs: Part 1, discussed the importance of PostgreSQL logs and how to tune various parameters to capture more database activity details. PostgreSQL logs provide useful information when troubleshooting database issues. This post focuses on different […]
Working with RDS and Aurora PostgreSQL logs: Part 1
April 2025: This post was reviewed for accuracy. PostgreSQL is one of the most popular open-source relational database systems. With more than 30 years of development work, PostgreSQL has proven to be a highly reliable and robust database that can handle a large number of complicated data workloads. AWS provides two managed PostgreSQL options: Amazon […]
Optimizing and tuning queries in Amazon RDS PostgreSQL based on native and external tools
January 2024: This post was reviewed and updated for accuracy. PostgreSQL is one of the most popular open-source relational database systems. The product of more than 30 years of development work, PostgreSQL has proven to be a highly reliable and robust database that can handle a large number of complicated data workloads. PostgreSQL is considered […]
Running AWS Lambda-based applications with Amazon DocumentDB
Microservices-based applications architectures are the norm for building scalable applications. AWS makes creating these types of applications easier with Amazon DocumentDB (with MongoDB compatibility). Just bring your code and deploy an application with this fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. You can use the same MongoDB application […]
Announcing the support of Parquet data format in AWS DMS 3.1.3
Today AWS DMS announces support for migrating data to Amazon S3 from any AWS-supported source in Apache Parquet data format. This is one of the many new features in DMS 3.1.3. Many of you use the “S3 as a target” support in DMS to build data lakes. Then, you use this data with other AWS […]
Amazon RDS Under the Hood: Multi-AZ
Amazon Web Services (AWS) customers bet their businesses on their data store and highly available access to it. For these customers, Multi-AZ configurations provide an easy-to-use solution for high availability (HA). When you enable Multi-AZ, Amazon Relational Database Service (Amazon RDS) maintains a redundant and consistent standby copy of your data. If you encounter problems […]
Choosing the Right DynamoDB Partition Key
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. […]
Configuring the AWS Schema Conversion Tool
May 2024: This post was reviewed and updated for accuracy. The AWS Schema Conversion Tool (AWS SCT) is a project-style Java application that can be installed on a local computer or an Amazon EC2 instance. The tool can be downloaded from AWS and is supported on MS Windows, Mac OSX, and Ubuntu and Fedora Linux. […]








