AWS Database Blog
Category: Advanced (300)
Federated query support for Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL – Part 1
PostgreSQL is one of the most widely used database engines and is supported by a very large and active community. It’s a viable open-source option to use compared to many commercial databases, which require heavy license costs. Amazon Relational Database Service (Amazon RDS) for PostgreSQL and Amazon Aurora PostgreSQL-Compatible Edition are AWS managed offerings that […]
Migrating SQL Server to Amazon RDS using native backup and restore
September 2025: This post was reviewed for accuracy. Running Microsoft SQL Server on Amazon Relational Database Service (Amazon RDS) automates time-consuming administration tasks such as installation, disk provisioning and management, patching, minor and major version upgrades, and backup and recovery of your SQL Server databases. Amazon RDS also offers high availability using a Multi-AZ solution, […]
Using Database Mail on Amazon RDS for SQL Server
We’re happy to announce that Amazon RDS for SQL Server now fully supports SQL Server Database Mail. Before this release, you needed to use a variety of work-arounds to enable Database Mail, such as using linked servers. With the release of Database Mail for SQL Server, you can enable Database Mail seamlessly by using database parameter groups. Database Mail is one of the heavily used features in Microsoft SQL Server. Database Mail enables you to send messages from the SQL Server to users by using a Simple Mail Transfer Protocol (SMTP) server. In this post, you learn how to configure Database Mail and send emails from an RDS for SQL Server DB instance via Amazon Simple Email Service (Amazon SES).
Performing major version upgrades for Amazon Aurora MySQL with minimum downtime
This post shows how you can perform a major upgrade for Aurora MySQL with minimal downtime using a blue-green deployment. This is useful for database administrators or DevOps team members responsible for the Aurora MySQL upgrades.
Performing analytics on Amazon Managed Blockchain
Managed Blockchain follows an event-driven architecture. We can open up a wide range of analytic approaches by streaming events to Amazon Kinesis. For instance, we could analyze events in near-real time with Kinesis Data Analytics, perform petabyte scale data warehousing with Amazon RedShift, or use the Hadoop ecosystem with Amazon EMR. This allows us to use the right approach for every blockchain analytics use case.
In this post, we show you one approach that uses Amazon Kinesis Data Firehose to capture, monitor, and aggregate events into a dataset, and analyze it with Amazon Athena using standard SQL.
Best practices for upgrading Amazon RDS for Oracle DB instances from 11.2.0.4 to 19c
Amazon Relational Database Service (Amazon RDS) for Oracle provides newer versions of databases so you can keep your DB instances up-to-date. These versions can include bug fixes, security enhancements, and other improvements. When Amazon RDS for Oracle supports a new version, you can choose how and when to upgrade your DB instances. As you may […]
Understanding autovacuum in Amazon RDS for PostgreSQL environments
August 2025: This post was reviewed and updated for accuracy. PostgreSQL has become the preferred open-source relational database for many enterprise developers and startups, and powers leading business and mobile applications. Amazon Web Services (AWS) offers Amazon Relational Database Service (Amazon RDS) and Amazon Aurora as fully managed relational database services. Amazon RDS for PostgreSQL […]
Best practices for exporting and importing data from Amazon Aurora MySQL to Amazon S3
June 2025: This post was reviewed for accuracy. You can build highly distributed applications using a multitude of purpose-built databases by decoupling complex applications into smaller pieces, which allows you to choose the right database for the right job. Amazon Aurora is the preferred choice for OLTP workloads. Aurora makes it easy to set up, […]
Backfilling an Amazon DynamoDB Time to Live (TTL) attribute with Amazon EMR
If you have complex data types such as maps and lists in your Amazon DynamoDB data, refer to Part 2 of this series. Bulk updates to a database can be disruptive and potentially cause downtime, performance impacts to your business processes, or overprovisioning of compute and storage resources. When performing bulk updates, you want to […]
Implementing bulk CSV ingestion to Amazon DynamoDB
June 2023: Amazon DynamoDB can now import Amazon S3 data into a new table. DynamoDB import from S3 helps you to bulk import terabytes of data from Amazon S3 into a new DynamoDB table with no code or servers required. November 2022: This post was reviewed and updated for accuracy. This post reviews what solutions […]