AWS Database Blog

The business problem of real-time data aggregation is faced by customers in various industries like manufacturing, retail, gaming, utilities, and financial services. In a previous post, we discussed an example from the banking industry: real-time trade risk aggregation. Typically, financial institutions associate every trade that is performed on the trading floor with a risk value […]

The collection, aggregation, and reporting of large volumes of data in near real time is a challenge faced by customers from many different industries, like manufacturing, retail, gaming, utilities, and financial services. In this post, we present a serverless aggregation pipeline in AWS. We start by defining the business problem, introduce a serverless architecture for […]

Vehicle route planning with the goals of meeting customer satisfaction expectations, reducing fuel consumption, and reducing emissions can be challenging. The vehicle routing problem (VRP) goal is to find optimal routes for multiple vehicles visiting multiple locations to fulfill business-specific constraints such as cost and time. The VRP has various use cases in industries such […]

Customers want to migrate from SQL Server to license-free databases like Amazon Aurora PostgreSQL–Compatible Edition, but it takes considerable work from an application point of view. Applications have SQL Server database code written in T-SQL; to modify that takes effort and is time-consuming. With Babelfish for Aurora PostgreSQL, you can make this process much simpler […]

Amazon DocumentDB (with MongoDB compatibility) is a scalable, highly durable, and fully managed database service for operating mission-critical MongoDB workloads. SQL is the de facto standard for data and analytics and one of the most popular languages among data engineers and data analysts. The Amazon DocumentDB JDBC driver provides a SQL interface that allows SQL-based […]

AWS provides three ways to create highly available SQL Server databases. Most customers use the single-click Multi-AZ Amazon Relational Database Service (Amazon RDS) for SQL Server deployment. With Amazon RDS for SQL Server, you can enable the Multi-AZ option, which replicates data synchronously across different Availability Zones without the need to set up high availability […]

Amazon Aurora PostgreSQL-Compatible Edition and Amazon Relational Database Service (Amazon RDS) for PostgreSQL are managed PostgreSQL solutions that make it easy to set up, operate, and scale a relational database in the cloud. They provide cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching, and backups. As you […]

Amazon DocumentDB (with MongoDB compatibility) is a database service that is purpose-built for JSON data management at scale, fully managed and integrated with AWS, and enterprise-ready with high durability. This post introduces you to the new geospatial query capabilities in Amazon DocumentDB, specifically the $nearSphere query operator and the $geoNear aggregation pipeline stage. For more […]

Amazon DocumentDB (with MongoDB compatibility) is a database service that is purpose-built for JSON data management at scale, fully managed and integrated with AWS, and enterprise-ready with high durability. Amazon DocumentDB added support for role-based access control (RBAC) with user-defined roles. Support for user-defined roles builds upon the existing Role-Based Access Control (RBAC) functionality, allowing […]

Amazon Relational Database Service (Amazon RDS) for PostgreSQL and Amazon Aurora PostgreSQL-Compatible Edition version 9.6 end of life is approaching. If you’re currently running PostgreSQL 9.6, you must upgrade your databases or AWS will automatically upgrade your RDS for PostgreSQL databases starting January 18, 2022, and Aurora PostgreSQL databases starting January 31, 2022. Unlike minor […]