AWS Database Blog
Achieving minimum downtime for major version upgrades in Amazon Aurora for PostgreSQL using AWS DMS
AWS provides two managed PostgreSQL options: Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL. When Amazon RDS or Aurora support a new major version of a database engine, for example, PostgreSQL 10 to 11, you can upgrade your DB instances to the new version. Major version upgrades can contain database changes that may not be […]
Building a customer identity graph with Amazon Neptune
A customer identity graph provides a single unified view of customers and prospects by linking multiple identifiers such as cookies, device identifiers, IP addresses, email IDs, and internal enterprise IDs to a known person or anonymous profile using privacy-compliant methods. It also captures customer behavior and preferences across devices and marketing channels. It acts as […]
Reducing cost for small Amazon Elasticsearch Service domains
September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. When you deploy your Amazon Elasticsearch Service (Amazon ES) domain to support a production workload, you must choose the type and number of data instances to use, the number of Availability Zones, and whether to use dedicated master instances or […]
Enabling distributed transaction support for domain-joined Amazon RDS for SQL Server instances
Amazon Relational Database Service (RDS) for SQL Server now supports distributed transactions using Microsoft Distributed Transaction Coordinator (MSDTC). With MSDTC, you can run distributed transactions involving RDS for SQL Server DB instances. This post goes over the most common ways to run distributed transactions when using Amazon RDS for SQL Server using AWS Directory Service […]
Building a GraphQL interface to Amazon QLDB with AWS AppSync: Part 2
This post is the second installment of a two-post series discussing how to integrate Amazon Quantum Ledger Database (QLDB) and AWS AppSync. This combination provides a versatile, GraphQL-powered API on top of the Amazon QLDB-managed ledger database. For information about connecting Amazon QLDB and AWS AppSync by building an AWS Lambda function and running a […]
Building a GraphQL interface to Amazon QLDB with AWS AppSync: Part 1
Amazon Quantum Ledger Database (QLDB) is a purpose-built database for use cases that require an authoritative data source. Amazon QLDB maintains a complete, immutable history of all changes committed to the database (referred to as a ledger). Amazon QLDB fits well in finance, eCommerce, inventory, government, and numerous other applications. Pairing Amazon QLDB with services […]
Data modeling with NoSQL Workbench for Amazon DynamoDB
When using a NoSQL database such as Amazon DynamoDB, I tend to make different optimization choices than what I am accustomed to with relational databases. At the beginning, it was not easy for me, because my relational database experience was telling me to do things differently. To help with that, AWS released NoSQL Workbench for […]
How Zendesk tripled performance by moving a legacy system onto Amazon Aurora and Amazon Redshift
This is a guest post by James Byrne, Engineering Leader at Zendesk, focusing on data pipeline development and operations for the Zendesk Explore analytics product, and Giedrius Praspaliauskas, AWS Solutions Architect. Zendesk is a CRM company that builds support, sales, and customer engagement software designed to foster better customer relationships. From large enterprises to startups, […]
Rolling back from a migration with AWS DMS
When migrating a database to a new system using AWS Database Migration Service (DMS), it is prudent to have a fallback strategy if the new system doesn’t work as expected. At a high level, there are four basic strategies for rolling back from a migration: basic fallback, fall forward, dual write, and bidirectional replication. Depending […]
Loading data into Amazon Keyspaces with cqlsh
The Cassandra Query Language Shell (cqlsh) is an open-source command line shell that you can use to run CQL commands and perform database administrative tasks, such as creating and modifying tables. You can use cqlsh to get started with Amazon Keyspaces (for Apache Cassandra)—a scalable, highly available, managed Cassandra-compatible database—by loading data from a CSV […]









