AWS Database Blog

Applications designed in the cloud need to be able to scale. For stateless resources like application servers, this is a straightforward task and can be achieved by simply adding additional compute resources behind a load balancer. For stateful resources such as databases, scaling can be more challenging. With the release of Amazon Aurora in 2015, […]

Migrating your database from IBM Db2 z/OS to Amazon Relational Database Service (Amazon RDS) for MySQL or Amazon Aurora MySQL-Compatible Edition is a multistage process, which usually includes assessment, database schema conversion, data migration, functional testing, performance tuning, and many other steps spanning across the stages. You can use the AWS Schema Conversion Tool (AWS […]

Today, we are happy to announce the general availability of Amazon Managed Blockchain (AMB) Access and Query. These two services expand AMB’s capabilities to help developers seamlessly interact with public blockchains so they can build scalable applications quickly and securely. AMB Access provides a new serverless offering for non-mining, full blockchain nodes. With AMB Access, […]

Generative AI has captured our imagination and is transforming industries with its ability to answer questions, write stories, create art, and even generate code. AWS customers are increasingly asking us how they can best take advantage of generative AI in their own businesses. Most have accumulated a wealth of domain-specific data (financial records, health records, […]

Database audits are one of the important compliance requirements that organizations need to meet. You might be required to capture, store, and retain the audit data for the long term. You also need to meet your organization’s information security regulations and standards. In this post, we show you how to capture and store audit data […]

Amazon Relational Database Service (Amazon RDS) Custom for Oracle allows you to run Oracle databases on AWS, giving you some of the benefits of Amazon RDS automation and the freedom of changing configurations to match different use cases. You can customize your database, underlying server, and operating system configurations to accommodate the specific needs of […]

In today’s digital age, ecommerce has become an integral part of our lives, offering convenience and endless product options at our fingertips. To enhance online shopping experience, retailers use personalized product recommendations as a key strategy to engage customers and boost sales. Among the cutting-edge technologies fueling this revolution is the vector database, a powerful […]

A common challenge customers face as their business grows is providing the same level of service to their end-users. Most often, databases become bottlenecks as usage outgrows capacity. Caching strategies may help improve performance by offloading frequently used data to a cache like Redis. This requires additional overhead in keeping your cache up to date. […]

If you’re an architect tasked with designing a solution with complex data requirements, you may decide to adopt a multimodel approach, combining multiple data models, possibly spanning multiple database technologies. For each model, you choose the best technology for the purpose at hand. AWS offers 15+ purpose-built engines to support diverse data models, including relational, […]

Although the application layer is the portion the world accesses for many cloud architectures, it seems that we rarely consider how we can optimize our application for the database we’re using. When using any relational database engine, it’s important to consider not just schema design, but understanding how databases read and write data to their […]