AWS Database Blog

Organizations rely on real-time analytics to gain insights into their core business drivers, enhance operational efficiency, and maintain a competitive edge. Traditionally, this has involved the use of complex extract, transform, and load (ETL) pipelines. ETL is the process of combining, cleaning, and normalizing data from different sources to prepare it for analytics, AI, and […]

This post demonstrates how to use AWS SCT to simplify and accelerate the migration of embedded Oracle SQL code within Java applications to PostgreSQL-compatible syntax. The solution focuses on a practical use case involving a source Oracle database coupled with a sample Java application containing numerous Oracle-specific SQL statements. By using AWS SCT, developers can automate much of the schema and SQL conversion process, reducing manual effort and minimizing errors during migration.

In this post, we show you how Clari optimized their database performance and reduced costs by 50% by switching to Amazon Aurora I/O-Optimized.

To help you move faster with greater confidence, we’re introducing a new DynamoDB data modeling tool, available as part of our DynamoDB Model Context Protocol (MCP) server. The DynamoDB MCP data modeling tool integrates with AI assistants that support MCP, providing a structured, natural-language-driven workflow to translate application requirements into DynamoDB data models. In this post, we show you how to generate a data model in minutes using this new data modeling tool.

Amazon ElastiCache now offers Extended Support so that you can upgrade to a new major version at a pace that meets your business requirements. Extended Support is a paid offering that provides critical security updates, bug fixes, and continued support for ElastiCache versions 4 and 5 for Redis OSS through January 31, 2029. Starting on February 1, 2026, ElastiCache Redis OSS v4 and v5 clusters that haven’t been upgraded will be automatically enrolled in Extended Support to provide continuous availability and security. In this post, we discuss what ElastiCache Extended Support entails, its key benefits, and the upgrade options available.

Are your database read operations unexpectedly slowing down as your workload scales? Many organizations running PostgreSQL-based systems encounter performance bottlenecks that aren’t immediately obvious. When many concurrent read operations access tables with numerous partitions or indexes, they can even exhaust PostgreSQL’s fast path locking mechanism, forcing the system to use shared memory locks. The switch […]

In this post, we demonstrate how to use DMS Schema Conversion to assess an Amazon RDS for SQL Server database and convert it to Amazon Aurora PostgreSQL-Compatible Edition. We walk you through how to automate the setup and configuration of DMS Schema Conversion components, generate an assessment report, convert database storage and code objects, export the converted code to Amazon S3, and apply the converted code to the target database.

Organizations operating hybrid environments can now extend their self-managed Active Directory authentication to Amazon RDS for Db2 instances via a forest trust with AWS Managed Microsoft AD. While basic Kerberos authentication functions transparently in this configuration, implementing group-based access control necessitates specific configuration, particularly when collaborating with users from trusted AD domains. In this post, we show how to enable Amazon RDS for Db2 to allow authorizations of groups in a customer managed Microsoft AD through a Directory Service domain.

In April 2024, AWS announced support for Valkey, a community-driven fork of Redis born out of a shared belief that critical infrastructure software should be vendor neutral and open source. In this post, we share how, just over a year in, we remain fully committed to the Valkey project and announce support for the latest version with Amazon ElastiCache version 8.1 for Valkey. We explore the benefits of Valkey through real-world examples the benefits of the latest innovations, including a new hash table with additional memory efficiencies, support for Bloom filters, observability enhancements, and new functionality.

Amazon ElastiCache now supports Bloom filters: a fast, memory-efficient, probabilistic data structure that lets you quickly insert items and check whether items exist. In this post, we discuss two real-world use cases demonstrating how Bloom filters work in ElastiCache, the best-practices to implement, and how you can save at least 90% in memory and cost compared to alternative implementations. Bloom filters are available in ElastiCache version 8.1 for Valkey in all AWS Regions and at no additional cost.