AWS Database Blog

JSON has become the standard data exchange protocol in modern applications. Its human-readable format, hierarchical structure, and schema flexibility make it ideal for representing complex, evolving data models. As applications grow more sophisticated, traditional relational databases often struggle with several challenges: Rigid schemas that resist frequent changes Complex joins for hierarchical data Performance bottlenecks when […]

In this post, we discuss methods to effectively monitor parallel replication performance and tune its related parameters for Amazon Aurora MySQL and Amazon Relational Database Service for MySQL and MariaDB.

In this first post, we dive into the world of MySQL replication, with a special focus on parallel replication techniques. We start with a quick overview of how MySQL replication works, then explore the intricacies of multithreaded replication. We discuss key configuration options and best practices for optimization.

As more organizations migrate their self-managed Db2 Linux-based workloads to Amazon RDS for Db2, migration teams are learning that preparation is key to avoiding project delays. Common roadblocks include outdated database versions, invalid objects, and improper storage configurations that surface migration process. In this post, we introduce a Db2 Migration Prerequisites Validation Tool that catches these issues before they impact your timeline. This tool performs thorough pre-migration validation and guides you through the necessary preparations for Amazon RDS for Db2.

In this post, we share infrastructure-level optimizations, RDS-specific performance features, and database design patterns to help improve MySQL performance on Amazon RDS. We focus on practical configurations and monitoring techniques that complement existing parameter tuning documentation, helping you make informed decisions for your specific workload requirements.

In this post, we explore how zero-ETL integration works, the key benefits it delivers for data-driven teams, and how it aligns with the broader zero-ETL strategy in AWS services. You’ll learn how this integration can enhance your data workflows, whether you’re building predictive models, entering interactive SQL queries, or visualizing business trends. By eliminating traditional extract, transform, and load (ETL) processes, this solution enables real-time intelligence securely and at scale to help you make faster, data-driven decisions.

In this post, we explore how enterprises can transform their Oracle Database environments by combining Accenture’s proven migration expertise with Oracle Database@AWS’s innovative capabilities to achieve faster modernization, enhanced performance, and seamless integration with AWS services

Vector search for Amazon ElastiCache is now generally available. You can now use ElastiCache to index, search, and update billions of high-dimensional vector embeddings from popular providers like Amazon Bedrock, Amazon SageMaker, Anthropic, and OpenAI—with latencies as low as microseconds and up to 99% recall.

AWS provides a wide range of monitoring solutions for your Amazon RDS and Amazon Aurora instances, such as Amazon CloudWatch, Amazon CloudWatch Database Insights, and AWS CloudTrail. Amazon RDS event monitoring pipelines make troubleshooting operational events like reboots, errors, and failovers more efficient. In this post, we present a solution to get a head start on troubleshooting by sending an email after a reboot or failover with the last 10 minutes of important CloudWatch metrics, top queries, and related API calls performed on the instance.

In this post, we explore how Elliptic uses Amazon DynamoDB to build a crypto-intelligence platform that scales to over 10 billion wallets globally and supports real-time risk detection across the fast-evolving digital asset ecosystem. We discuss the data model design, indexing strategies, and operational setup that Elliptic uses to power real-time risk analysis and complex investigations at scale.