AWS Database Blog

We have seen customers overcoming rapid data growth challenges during 2020–2021.For customers working with PostgreSQL, a common bottleneck has been due to buffer_content locks caused by contention of data in high concurrency or large datasets. If you have experienced data contentions that resulted in buffer_content locks, you may have also faced a business-impacting reduction of […]

Amazon Relational Database Service (Amazon RDS) for Oracle provides newer versions of databases as they are introduced by Oracle so you can keep your DB instances up to date. These versions can include bug fixes, security enhancements, and other improvements. When Amazon RDS for Oracle supports a new version, you can choose how and when […]

Amazon Quantum Ledger Database (Amazon QLDB) is a purpose-built ledger database that provides a complete and cryptographically verifiable history of all changes made to your application data. Customers in regulated industries use the cryptographically verifiable history as part of meeting compliance and facilitating audits. Similar to when working with traditional databases like MySQL or PostgreSQL, […]

Enterprise customers have repeatedly told us they want to migrate to open-source databases such as PostgreSQL. You can choose from several different ways to migrate your data and database schema from SQL Server to PostgreSQL. However, after the initial database migration is completed, manually rewriting application code, switching out database drivers, and verifying that the […]

Parallel queries in PostgreSQL have the ability to use more than one CPU core per query. In parallel queries the optimizer breaks down the query tasks into smaller parts and spreads each task across multiple CPU cores. Each core can process the tasks at the same time thereby reducing the total time taken to complete […]

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 […]

July 2023: This post was reviewed for accuracy. 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 […]

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 […]