AWS Database Blog
Handle IDENTITY columns in AWS DMS: Part 2
In Part 1 of this series, we discussed how the IDENTITY column is used in different relational database management systems. In this post, we focus on how AWS Database Migration Service (AWS DMS) handles tables with IDENTITY column. For the source database, AWS DMS captures the IDENTITY column as a regular column. For the target […]
Handle IDENTITY columns in AWS DMS: Part 1
In relational database management systems, an IDENTITY column is a column in a table that is made up of values generated automatically by the database at the time of data insertion. Although different systems handle the implementation of IDENTITY columns differently, they share some common characteristics. In most cases, the value of the IDENTITY column […]
a-tune accelerates their AWS migrations using migration strategy and implementation plans from Amazon Database Migration Accelerator
AWS launched Amazon Database Migration Accelerator (Amazon DMA) to accelerate your journey to AWS Databases and Analytics services and achieve cloud adoption benefits such as cost savings and performance improvements. In this post, we share how the Amazon DMA team helped a-tune accelerate their migrations to AWS Databases and Analytics services. a-tune offers data and […]
Automate update of table settings on restored Amazon DynamoDB table
Regular backups are a key component of designing business-critical applications to be resilient in the event of any failure situation. They provide many benefits, the most important being data protection, more efficient recovery of data in the event of disruptions, compliance with organization and legal requirements, and simplified maintenance. Point-in-time recovery (PITR) for DynamoDB provides […]
Automate benchmark tests for Amazon Aurora PostgreSQL – Part 2
April, 2026: Aurora Serverless v2 has been renamed Aurora serverless. No action required. This post is a continuation of Automate benchmark tests for Amazon Aurora PostgreSQL. To recap, optimizing a database is an important activity for new and existing application workloads. You need to take cost, operations, performance, security, and reliability into consideration. Conducting benchmarks […]
Perform cross-account Amazon Aurora MySQL migration with minimal downtime
While managing databases at scale in AWS, there are certain scenarios where you may need to maintain an Amazon Aurora cluster in a single or multiple AWS accounts. These scenarios include but are not limited to mergers and acquisitions, consolidating all accounts to use only a single account, or compliance to maintain production and development […]
Evolution of Koo’s database and how they connected millions of voices using Amazon DynamoDB
This post is co-authored with Vivek Yadav from Koo. Koo is a global micro-blogging platform that allows users to share their thoughts and opinions in various languages. Launched in March 2020, the app has quickly gained immense popularity, with millions of users joining the platform to share their views and connect with like-minded individuals. In […]
Migrate Oracle database workloads from Amazon RDS for Oracle to Amazon RDS Custom for Oracle
End of support notice: On March 31, 2027, AWS will end support for Amazon RDS Custom for Oracle. Existing customers can continue using the service until March 31, 2027. After March 31, 2027, you will no longer be able to access RDS Custom for Oracle resources including database instances, snapshots, and custom engine versions. We […]
A framework for Amazon DynamoDB Transactions
Amazon DynamoDB supports transactions to give atomicity, consistency, isolation, and durability (ACID), helping you maintain data consistency in your workloads. A database transaction is a sequence of multiple operations that are performed on one or more tables. These sequences of multiple operations represent a unit of work that is committed to the tables or rolled […]
Supply chain data analysis and visualization using Amazon Neptune and the Neptune workbench
Many global corporations are managing multiple supply chains, and they depend on those operations to not only deliver goods on time but to respond to divergent customer and supplier needs. According to a McKinsey study, it’s estimated that significant disruptions to production now occur every 3.7 years on average, adding new urgency to supply chain […]









