Category: Database

The Amazon Relational Database Service (RDS among friends) launched in 2009 with support for MySQL. We added Oracle Database in 2011 and Windows SQL Server in 2012. Today we are adding support for PostgreSQL. After personally fielding hundreds requests for this database engine over the last couple of years, I am more than happy to […]

We have added a very large collection of new features to Amazon Redshift. You now have more options and more ways to organize and query your petabyte-scale data warehouse. Here’s a summary: Distributed Tables – You now have more control over the distribution of a table’s rows across compute nodes. Remote Loading – You can […]

Amazon RDS for Microsoft SQL Server now supports the use of Transparent Data Encryption (TDE). Once enabled, the database instance encrypts data before it is stored in the database and decrypts it after it is retrieved. You can use this feature in conjunction with our previously announced support for SSL connections to SQL Server to […]

AWS Data Pipeline (see my introductory blog post for more information) is a web service that helps you to integrate and process data across compute and storage services at specified intervals. You can transform and process data that is stored in the cloud or on-premises in a highly scalable fashion without having to worry about […]

As you may know, Amazon RDS makes it easy for our customers to set up, scale, and operate a relational database in the cloud. Amazon RDS supports MySQL, Oracle (Standard Edition One, Standard Edition and Enterprise Edition) and Microsoft SQL Server (Web, Express, Standard, and Enterprise editions). RDS handles the time-consuming database administration tasks so […]

I know that many AWS customers are interested in building applications that run in more than one of the eight public AWS regions. As a result, we have been working to add features to AWS to simplify and streamline the data manipulation operations associated with building and running global applications. In the recent past we […]

Amazon Redshift lets you deploy a fast, fully managed, petabyte-scale data warehouse with just a couple of clicks. Once you create your cluster, you can use it to analyze your data using your existing business intelligence tools. Custom applications that use JDBC or ODBC connections will also work, as will those which use standard PostgreSQL […]

I love to demo Amazon RDS. It is really cool to be able to launch a relational database instance in minutes, and to show my audiences how it manages scaling, backups, restores, patches, and availability so that they can focus on their application. After my demo, I invariably get questions about data migration. The audiences […]