AWS Database Blog

In this post, we explore the steps to configure Oracle RAC as a source for AWS DMS.

Amazon RDS for SQL Server now supports configuring password policies for logins using SQL Server Authentication. In this post, we guide you through the process of enabling the password policy for Amazon RDS for SQL Server and creating a SQL Server login that adheres to the policy.

In this post, we demonstrate a process for migrating an Amazon QLDB ledger into Amazon Aurora PostgreSQL using the US Department of Motor Vehicles (DMV) sample ledger from the tutorial in the Amazon QLDB Developer Guide as an example. You may use this solution as a foundation for your own migration, altering it as necessary for your schema and migration strategy.

In this post, we discuss how to use Amazon Aurora PostgreSQL-Compatible Edition as an alternative to Amazon QLDB for auditing and what features of Amazon Aurora PostgreSQL can replace some of the unique capabilities offered by Amazon QLDB.

In this post, we discuss other native indexes supported in Amazon Aurora PostgreSQL-Compatible Edition and Amazon Relational Database Service (Amazon RDS) for PostgreSQL, including GIN, GiST, HASH, and BRIN, and their use cases.

In this series of posts, we discuss index types supported in Amazon Aurora PostgreSQL-Compatible edition and Amazon Relational Database Service (Amazon RDS) for PostgreSQL and their use cases. In this post, we discuss the native B-tree index and its variations.

MoneyLion is a financial technology ecosystem leader with a mission to empower everyone to make their best financial decisions. The MoneyLion app delivers curated financial content and innovative products, including features to save and invest, integrating offers from over 1,100 enterprise partners. In this post, we share how MoneyLion achieved cost-optimization using Amazon Aurora I/O- Optimized, a new storage configuration in Amazon Aurora that provides improved price-performance and predictable pricing for I/O-intensive applications.

In this post, we explore the key factors to consider when selecting a database for your generative AI applications. We focus on high-level considerations and service characteristics that are relevant to fully managed databases with vector search capabilities currently available on AWS. We examine how these databases differ in terms of their behavior and performance, and provide guidance on how to make an informed decision based on your specific requirements.

In this post, we explore the new features in PostgreSQL 16 and discuss how they improve performance and query speed. This includes new replication features, including logical decoding on standbys and parallel application of logical replication, SQL/JSON functionality, new monitoring tools, such as the pg_stat_io system view, and security features.

AWS DMS provides the capability to validate your data as you migrate from various supported sources to AWS. Data integrity and accuracy is one of key requirements we often hear about from our customers that determines a successful migration project. In this post, we delve deep into AWS DMS data validation feature. We explore its benefits, configurations, and use cases.