In a new report, Stack Overflow, the leading online community for developers, analyzed its own user data to create this report. The report draws on the results of Stack Overflow’s annual Developer Survey to analyze topics including: the types of developers most likely to use RDS, the relationship between experience level and use of managed databases, the technologies that correlate […]

IDC conducted a study on behalf of Amazon Web Services (AWS) to determine what sorts of experiences its customers were having with Amazon Redshift, AWS’ data warehousing service, and quantify their benefits. IDC interviewed eight organizations using Amazon Redshift to explore its impact on their data warehousing, IT, and business operations. According to these organizations, Redshift has not only proven […]

With ever growing data, organizations can gain valuable insights from analytics. However, to cost effectively capture and analyze data, they must first modernize legacy on-premises data warehouses, which are often costly and slow to scale. This makes it difficult to ingest, process, and analyze data quickly enough to gain time-sensitive insights. Additionally, legacy data warehouse solutions often lack the flexibility […]

Amazon Redshift manages all the work of setting up, operating, and scaling a data warehouse: provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine. You can focus on using your data to acquire new insights for your business and customers. In this interface reference guide for Amazon Redshift, get documentation for […]

Amazon Redshift is a fully managed, petabytescale data warehouse service in the cloud. An Amazon Redshift data warehouse is a collection of computing resources called nodes, which are organized into a group called a cluster. Each cluster runs an Amazon Redshift engine and contains one or more databases. In this Getting Started Guide, we will walk you through the process […]

Amazon Aurora is a MySQL-compatible, enterprise-grade relational database engine built for the cloud. This handbook outlines the best practices for planning, executing, and troubleshooting database migrations from MySQL-compatible and nonMySQL-compatible database products to Amazon Aurora. This handbook also teaches Amazon Aurora database administrators how to diagnose and troubleshoot common migration and replication errors.

Amazon Aurora is a MySQL-compatible, enterprise-grade relational database engine built for the cloud. Amazon Aurora helps overcome the limitations of traditional relational database engines. The goal of this whitepaper is to help you understand the benefits of Amazon Aurora and to walk you through the steps required to create and connect to your Amazon Aurora database. This whitepaper also covers […]

AWS Database Migration Service (AWS DMS) helps you migrate databases to AWS easily and securely. AWS DMS can migrate your data to and from the most widely used commercial and open-source databases. AWS DMS supports homogenous migrations such as Oracle to Oracle, as well as heterogeneous migrations between different database platforms, such as Oracle to Amazon Aurora or Microsoft SQL […]