AWS Database Blog

How power utilities analyze and detect harmonic issues using power quality and customer usage data with Amazon Timestream

In this two-part series, we demonstrated how to use Amazon Timestream database and its built-in time series functionalities to identify the harmonic issues at scale through correlating metrics for millions of customers and automate the process for large-scale data handling. An electricity utility normally engages in electricity generation and distribution of electricity to end users, […]

Install additional software components on Amazon RDS Custom for Oracle

Amazon Relational Database Service (Amazon RDS) Custom is a managed database service that provides the flexibility to customize your database, underlying server, and operating system configurations needed to support applications that require more control than what a typical managed relational database service provides. Amazon RDS Custom for Oracle is built for legacy, custom, packaged applications, […]

Optimize your SQL Server costs by using bring your own media (BYOM) on Amazon RDS Custom for SQL Server

Organizations are migrating their Microsoft SQL Server workloads to AWS managed database services like Amazon Relational Database Service (Amazon RDS) for SQL Server or Amazon RDS Custom for SQL Server, which makes it easy to set up, operate, and scale SQL Server deployments in the cloud. Customers often ask us how they can optimize Amazon […]

Migrate an Informix database to Amazon Aurora PostgreSQL using CData Connect Cloud from within AWS Glue Studio

Amazon Aurora PostgreSQL-Compatible Edition is a fully managed PostgreSQL-compatible database engine running in AWS and is a drop-in replacement for PostgreSQL. Aurora PostgreSQL is cost-effective to set up, operate, and scale, and can be deployed for new or existing applications. Informix is a relational database management system from IBM and supports OLTP and other workloads. […]

Improve application performance on Amazon RDS for MySQL and MariaDB instances and MySQL Multi-AZ DB clusters with Optimized Writes

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale deployments of MySQL and MariaDB in the cloud. Amazon RDS customers run different types of workloads on Amazon RDS for MySQL and Amazon RDS for MariaDB. You can use read replicas to scale read options of their workloads, but scaling […]

Working with date and timestamp data types in Amazon DynamoDB

Amazon DynamoDB customers often need to work with dates and times in DynamoDB tables. Querying tables on the basis of year, month, day, or even hours and minutes for real-time workloads has become a necessity for organizations. Therefore, it’s important to be able to efficiently query date and time data inside a DynamoDB table. DynamoDB […]

Generate suggestions for leisure activities in real time with Amazon Neptune

DoGet App is a mobile application that connects friends for sharing in-person moments together. Suggestions for activities to engage in with friends are presented to users in card deck format: swiping up indicates no interest in an activity, and swiping down indicates interest and prompts a follow-up on when a user is available (such as […]

Secure your applications running on Amazon RDS for SQL Server

Amazon Relational Database Service (Amazon RDS) for SQL Server supports several security features that can help you secure your application data on AWS. These features protect your data both in transit and at rest, while also providing separation of duties and auditing capabilities. The majority of these features are built into SQL Server and can […]

Announcing Amazon Keyspaces Multi-Region Replication

Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra-compatible database service. With Amazon Keyspaces, you can run your Cassandra workloads on AWS using the same Cassandra application code and developer tools that you use today. Today we are introducing Amazon Keyspaces Multi-Region Replication. Amazon Keyspaces Multi-Region Replication is a new […]

Best practices for migrating SQL Server MERGE statements to Babelfish for Aurora PostgreSQL

To migrate a SQL Server database to Babelfish for Aurora PostgreSQL, you usually need to perform both automated and manual tasks. The automated tasks involve automatic code conversion using the Babelfish Compass tool with the -rewrite flag and data migration using AWS Database Migration Service (AWS DMS). The manual tasks involve database compatibility check using […]