AWS Database Blog

Get Started with Amazon Elasticsearch Service: How Many Data Instances Do I Need?

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Welcome to the first in a series of blog posts about Elasticsearch and Amazon Elasticsearch Service, where we will provide the information you need to get started with Elasticsearch on AWS. How many instances will you need? When you create […]

Introducing AWS Schema Conversion Tool Version 1.0.502

We are pleased to announce the recent release of version 1.0.502 of the AWS Schema Conversion Tool (AWS SCT). Two key capabilities included with this release are the use of Amazon Aurora with PostgreSQL compatibility as a target and integration with AWS Database Migration Service (AWS DMS). Amazon Aurora with PostgreSQL compatibility as a target […]

Auditing an Amazon Aurora Cluster

At re:Invent, we announced a number of new features for Amazon Aurora, the MySQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Today we are happy to announce that our advanced auditing feature is now available to all customers. What is […]

Indexing Metadata in Amazon Elasticsearch Service Using AWS Lambda and Python

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Amit Sharma (@amitksh44) is a solutions architect at Amazon Web Services. You can use Amazon S3 to implement a data lake architecture as the single source of truth for all your data. Taking this approach not only allows you to […]

A Large-Scale Cross-Regional Migration of NoSQL DB Clusters

Andrey Zaychikov is solutions architect at Amazon Web Services In this blog post, I will share experiences from a cross-regional migration of large-scale NoSQL database clusters (from Europe to the U.S.). The migration was a joint project implemented by the Ops team of our reference customer, FunCorp, and AWS Solutions Architects. “Our flagship product, iFunny, […]

Cross-Engine Database Replication Using AWS Schema Conversion Tool and AWS Database Migration Service

Prahlad Rao is a solutions architect at Amazon Web Services. Customers often replicate databases hosted on-premises to the AWS Cloud as a means to migrate database workloads to AWS, or to enable continuous replication for database backup and disaster recovery. You can both migrate and perform continuous replication on the AWS Cloud with AWS Database […]

Modifying Tasks and Table Mapping in the Console in AWS Database Migration Service

We’ve recently added two features in AWS Database Migration Service (AWS DMS)—modifying tasks and table mapping through the AWS Management Console. These two new features represent a new step in our long journey to improve and enhance our migration and replication service based on the feedback we receive from our customers. Let’s outline some highlights […]

Installing JD Edwards EnterpriseOne on Amazon RDS for Oracle

Marc Teichtahl is a solutions architect at Amazon Web Services. Amazon Relational Database Service (Amazon RDS) is a web service that makes it easier to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, resizable capacity for an industry-standard relational database and manages common database administration tasks. Amazon RDS offers […]

Introducing the Aurora Storage Engine

What Is Amazon Aurora? Amazon Aurora is a MySQL and PostgreSQL compatible relational database service that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better throughput than MySQL and three times better throughput than PostgreSQL with the security, availability, […]