AWS Database Blog
Category: Expert (400)
Stream data with Amazon DocumentDB, Amazon MSK Serverless, and Amazon MSK Connect
A common trend in modern application development and data processing is the use of Apache Kafka as a standard delivery mechanism for data pipeline and fan-out approach. Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully-managed, highly available, and secure service that makes it simple for developers and DevOps managers to run applications […]
Alternatives to the Oracle flashback database feature in Amazon RDS for Oracle
Customers may prefer to host their Oracle database workloads in a managed service such as Amazon Relational Database Service (Amazon RDS) for Oracle because of the benefits offered by managed services. However, there could be workloads that have dependencies on Oracle features that aren’t supported by Amazon RDS for Oracle. For example, the flashback database […]
Cost-effective bulk processing with Amazon DynamoDB
January 2025: The calculations in this post have been updated following DynamoDB’s 50% reduction in on-demand throughput pricing. Refer to New – Amazon DynamoDB lowers pricing for on-demand throughput and global tables to learn more. Your Amazon DynamoDB table might store millions, billions, or even trillions of items. If you ever need to perform a […]
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 […]
Make configuration changes to an Amazon RDS Custom for Oracle instance: Part 3
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 […]
Automate high availability setup in 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 […]
Achieve a high-performance migration to Amazon RDS for Oracle from on-premises Oracle with AWS DMS
Many customers deploy the Oracle Database to an on-premises data centers running general purpose hardware or a highly customized Oracle Exadata hardware. These Oracle database customers are now looking to migrate to Amazon Relational Database Service (Amazon RDS) for Oracle, which is a fully managed commercial database that makes it easy to set up, operate, […]
Deploy schema changes in an Amazon Aurora MySQL database with minimal downtime
Modifying the schema of a SQL database can be time-consuming, resource-intensive, and error-prone. It can also require long periods of downtime that negatively affects the end-user experience. In this post, I walk you through performing schema changes using Instant DDL and Amazon Relational Database Service (Amazon RDS) Blue/Green Deployments for Amazon Aurora MySQL-Compatible Edition with […]
Implement resource counters with Amazon DynamoDB
When developing applications, you often need to implement a counter to accurately track actions such as votes cast, the available quantity of a resource in an eCommerce store, or tickets available for an event. These counters must be updated as the resource quantity changes. In this post, we explore seven approaches to implementing resource counters […]
Implement vertical partitioning in Amazon DynamoDB using AWS Glue
In this post, we show you how to use AWS Glue to perform vertical partitioning of JSON documents when migrating document data from Amazon Simple Storage Service (Amazon S3) to Amazon DynamoDB. You can use this technique for other data sources, including relational and NoSQL databases. DynamoDB can store and retrieve any amount of data, […]









