AWS Database Blog
Category: Intermediate (200)
Parallel vacuuming in Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL
PostgreSQL is a powerful open-source object-relational database system with over 30 years of active development that has earned it a strong reputation for reliability, feature robustness, and performance. AWS offers Amazon Relational Database Service (Amazon RDS) and Amazon Aurora as fully managed relational database services. Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL-compatible edition makes […]
Uncover financial fraud with Amazon Neptune and Tom Sawyer Perspectives
This is a guest post written by Janet M. Six, Senior Product Manager at Tom Sawyer Software. Fraud and corruption affect the lives of millions of people by impacting the financial health of corporations and individuals. Fraud is typically carried out by multiple parties that, by their very nature, strive to remain hidden in plain […]
Migrate Amazon Aurora across AWS Regions with minimum downtime using Aurora Global Database
Amazon Aurora is a relational database management system (RDBMS) built for the cloud with full MySQL and PostgreSQL compatibility. Aurora is designed to take advantage of the cloud in areas of scalability, availability, and durability, as well as combine the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. […]
Access Amazon MemoryDB for Redis from AWS Lambda
Today marks the one-year anniversary of the launch of Amazon MemoryDB for Redis. On 8/19/2021, AWS announced the general availability of Amazon MemoryDB for Redis, a fully managed, Redis-compatible database, that delivers both in-memory performance and Multi-AZ durability. Over the past year, thousands of customers have adopted MemoryDB as their primary database for critical workloads […]
Amazon DynamoDB can now import Amazon S3 data into a new table
February, 2025: As of November 1, 2024, Amazon DynamoDB has reduced its pricing, offering a 50% reduction for on-demand throughput. These post was updated to reflect this change. For complete details about these pricing changes, visit New – Amazon DynamoDB lowers pricing for on-demand throughput and global tables. Today we’re launching new functionality that makes […]
Single-table vs. multi-table design in Amazon DynamoDB
This is a guest post by Alex DeBrie, an AWS Hero. For people learning about Amazon DynamoDB, the idea of single-table design is one of the most mind-bending concepts out there. Rather than the relational notion of having a table per entity, DynamoDB tables often include multiple different entities in a single table. You can […]
Introducing DML auditing for Amazon DocumentDB (with MongoDB compatibility)
Amazon DocumentDB (with MongoDB compatibility) is a scalable, highly durable, and fully managed database service for operating mission-critical MongoDB workloads without having to worry about managing the underlying infrastructure. As a document database, Amazon DocumentDB makes it easy to store, query, and index JSON data. Amazon DocumentDB has added support for auditing Data Manipulation Language […]
AWS Nitro Enclaves for secure blockchain key management: Part 1
Public blockchains are used for a variety of use cases, like decentralized finance (DeFi) apps, non-fungible token (NFT) apps, or cross-border payments. Blockchains differ in their protocol and consensus design, implementation language, and smart contract capabilities. Determining how external participants can be incentivized to join a network running their own node is key in economic […]
New features in AWS DMS 3.4.7
We are excited to announce the availability of AWS Database Migration Service (AWS DMS) replication engine version 3.4.7. This version provides improvements covering security, performance, and connectivity that were requested by many of our customers. In this post, we highlight a few key features. For the entire list of improvements, refer to AWS DMS release […]
Fine Grained Access Control for Amazon Neptune data plane actions
Amazon Neptune is purpose-built to store and navigate relationships. This provides advantages over relational databases for use cases like social networking, recommendation engines, and fraud detection, where you need to create relationships between data and quickly query these relationships. At AWS, security is Job Zero. Neptune offers several security features, including network isolation, encryption, and […]









