AWS Database Blog

On August 19, 2021, we announced Amazon MemoryDB for Redis, a new Redis-compatible, durable, in-memory database. Since then, we have expanded support to 16 AWS Regions and added support for AWS CloudFormation. With MemoryDB, all your data is stored in memory, enabling you to achieve microsecond read and single-digit millisecond write latency and high throughput. […]

A common use case for Enterprise workloads is to have a reliable and effective disaster recovery (DR) strategy that keeps your database applications in operation with little or no disruption even if an entire Region is unavailable. Amazon Relational Database Service (Amazon RDS) for SQL Server is a fully managed database that makes it easy […]

In November 2020, we launched DynamoDB support for PartiQL. With PartiQL, you can codify your DynamoDB data operations using familiar SQL syntax and get the fast, consistent performance that DynamoDB customers have long depended on. In this post, we explain how DynamoDB’s PartiQL support helps new DynamoDB developers learn faster and provides existing DynamoDB developers […]

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud. Aurora combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open-source databases. Amazon Aurora MySQL is compatible with MySQL 5.6 and MySQL 5.7, and is now also compatible with MySQL 8.0. Today, we made Aurora MySQL 3 […]

For many organizations, performance is a key priority for databases that need to handle a high load. Amazon Relational Database Service (Amazon RDS) is a managed service with a cost-efficient, reliable, and highly scalable database offering which makes it a suitable use case for such requirements. In this post, I walk you through benchmarking Amazon […]

This post was written by guest authors, Rodrigo Roim, Marcos Arribas, and Anu Sharma from Statsig. Today, developers use feature gates to control feature roll out to manage the risk of bad deployments, but some remain blind to how customers would respond to a new feature. Statsig is a modern feature management and product experimentation […]

Customers running databases in a self-managed environment face many challenges, such as scalability, performance, maintenance overhead, and reliability. To help increase resiliency, performance, and scalability, AWS has become the new norm for companies. AWS offers the widest variety of databases that are purpose-built for different types of applications so you can choose the right tool […]

Customers running on an on-premises environment often face the challenges of scalability, performance, cost, and reliability. To increase resiliency, performance, and scalability, AWS has become the new norm to help and offer companies the benefits of the AWS Cloud. In this post, we use Oracle Real Application Testing (Oracle RAT) to help you evaluate differences […]

In our last series of posts (Part 1, Part 2, Part 3, and Part 4) , we discussed disaster recovery (DR) terminology and compared the DR solutions available for SQL Server on Amazon Elastic Compute Cloud (Amazon EC2). In this series, we continue to cover the DR solutions available for Amazon Relational Database Service (Amazon RDS) […]

The initial challenge that database administrators (DBA) encounter when planning disaster recovery (DR) for SQL Server is choosing from the many options available. The challenge does not stop there as DBAs must implement the selected technology and ensure that best practices are applied. Amazon Relational Database Service (Amazon RDS) is a managed service that makes […]