Category: RDS for PostgreSQL

PostgreSQL has become the preferred open-source relational database for many enterprises and start-ups with its extensible design for developers. One of the reasons developers use PostgreSQL is it allows them to add database functionality by building extensions with their preferred programming languages. You can already install and use PostgreSQL extensions in Amazon Aurora PostgreSQL-Compatible Edition […]

As an ex-.NET developer, and now Developer Advocate for .NET at AWS, I’m excited to bring you this week’s Week in Review post, for reasons that will quickly become apparent! There are several updates, customer stories, and events I want to bring to your attention, so let’s dive straight in! Last Week’s launches .NET developers, […]

This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! It’s the beginning of a new week, and I’d like to start with a recap of the most significant AWS news from the previous 7 days. Last week was special […]

Today we are very excited to announce that Amazon Aurora Serverless v2 is generally available for both Aurora PostgreSQL and MySQL. Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora that allows your database to scale capacity up or down based on your application’s needs. Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database […]

Today, we are announcing a new Amazon Relational Database Service (RDS) Multi-AZ deployment option with up to 2x faster transaction commit latency, automated failovers typically under 35 seconds, and readable standby instances. Amazon RDS offers two replication options to enhance availability and performance: Multi-AZ deployments gives high availability and automatic failover. Amazon RDS creates a […]

A data warehouse is a database optimized to analyze relational data coming from transactional systems and line of business applications. Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze data using standard SQL and existing Business Intelligence (BI) tools. To get information from unstructured data that would […]