AWS Database Blog

At Amazon Web Services (AWS), we have been making steady progress towards bringing our zero-extract, transform, and load (ETL) vision to life. With Amazon Aurora zero-ETL integration to Amazon Redshift, you can bring together the transactional data of Amazon Aurora with the analytics capabilities of Amazon Redshift. The integration helps you derive holistic insights across […]

One of the key benefits of Amazon Relational Database Service (Amazon RDS) is that it creates an automated storage volume snapshot of the database instance, backing up the database host at the instance. Amazon RDS saves the automated backups of databases according to the specified backup retention period. The flexibility of creating manual snapshots helps […]

Amazon DocumentDB (with MongoDB compatibility) is a highly efficient, scalable, and fully managed enterprise document database service designed to handle native JSON workloads. Amazon DocumentDB simplifies storing, querying, and indexing JSON data as a document database. The Amazon DocumentDB profiler feature is a valuable tool for monitoring the slowest operations on your cluster to help […]

This is a guest post co-written with Mateus Ribeiro de Castro and Tiaraju Smaneoto from VTEX. VTEX (NYSE: VTEX) is the enterprise digital commerce platform where forward-thinking CEOs and CIOs smarten up their investments. Our composable and complete platform helps brands and retailers modernize their stack and reduce maintenance costs by rapidly migrating from legacy […]

Amazon DocumentDB (with MongoDB compatibility) is a scalable, highly durable, and fully managed document database service that makes it straightforward to store, query, and index native JSON workloads in the cloud. Amazon DocumentDB decouples compute and storage, so each component scales independently. Amazon DocumentDB supports two types of clusters: instance-based clusters and elastic clusters. In […]

Amazon DocumentDB (with MongoDB compatibility) is a fully managed native JSON document database that makes it easy and cost effective to operate critical document workloads at virtually any scale without managing infrastructure. Amazon DocumentDB simplifies your architecture by providing built-in security best practices, continuous backups, and native integrations with other AWS services. You can enhance […]

Amazon RDS Proxy is a fully managed, highly available database proxy for Amazon Relational Database Service (Amazon RDS) and Amazon Aurora that makes applications more scalable, secure, and resilient to database failures. With RDS Proxy, you can handle unpredictable surges in database traffic that might otherwise cause issues due to using all available connections or creating new connections at a fast rate. One of the main benefits of RDS Proxy is that it can improve application recovery time while efficiently and automatically handling database failovers, which is valid with both planned and unplanned failovers. For more details, see Improving application availability with Amazon RDS Proxy. For common use cases where RDS Proxy is beneficial, refer to Amazon RDS Proxy FAQs. In this post, we show how to securely and efficiently connect applications in different AWS accounts to an RDS database instance or Aurora cluster using RDS Proxy, AWS PrivateLink, and Network Load Balancer.

Customers are actively exploring opportunities to optimize their expenses, aligning with the Cost Optimization pillar of the AWS Well-Architected Framework. In this post, we discuss the following tools that you can use to analyze your spend and optimize your Amazon Relational Database Service (Amazon RDS) costs.

In this post, we outline the steps to migrate an Azure SQL Database to Amazon RDS for SQL Server using Smart Bulk Copy, a method that offers significantly faster migration compared to the SqlPackage export/import approach. Additionally, we discuss best practices and optimizations to minimize downtime during the migration process.

In this post, we demonstrate how to set up Amazon EMR to run complex queries on massive amounts of data stored in your Amazon DocumentDB (with MongoDB compatibility) clusters using Apache Spark. Amazon DocumentDB (with MongoDB compatibility) is a fully managed native JSON document database that makes it easy and cost effective to operate critical document […]