Category: Database

DynamoDB Shell is (ddbsh) an open-source command line interface for Amazon DynamoDB. For a simple introduction, refer to Query data with DynamoDB Shell – a command line interface for Amazon DynamoDB. The ddbsh README.md file has detailed command and usage examples. One of the objectives of ddbsh is to provide a simple and intuitive environment […]

Amazon Relational Database Service (Amazon RDS) is a managed relational database service offering. The managed service automation of Amazon Web Services (AWS) takes care of installation, storage provisioning, storage management, OS and database patching, and snapshot and restore of database instances. Offloading the undifferentiated heavy lifting of database infrastructure management to AWS helps you focus […]

Babelfish for Aurora PostgreSQL includes support for the SQL Server wire-protocol and T-SQL, which is the query language used in Microsoft SQL Server. This means that developers can use Babelfish to run their existing SQL Server applications on Amazon Aurora PostgreSQL-Compatible Edition without having to switch database drivers or completely rewrite their queries. When migrating […]

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, […]

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, […]

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 […]

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. […]

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 […]

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 […]

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 […]