AWS News Blog

Category: Database

New for Amazon Redshift – Simplify Data Ingestion and Make Your Data Warehouse More Secure and Reliable

When we talk with customers, we hear that they want to be able to harness insights from data in order to make timely, impactful, and actionable business decisions. A common pattern with data-driven organizations is that they have many different data sources they need to ingest into their analytics systems. This requires them to build […]

New – Trusted Language Extensions for PostgreSQL on Amazon Aurora and Amazon RDS

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 […]

Announcing Amazon DocumentDB Elastic Clusters

Amazon DocumentDB (with MongoDB compatibility) is a scalable, highly durable, and fully managed database service for operating mission-critical JSON workloads. It is one of AWS fast-growing services with customers including BBC, Dow Jones, and Samsung relying on Amazon DocumentDB to run their JSON workloads at scale. Today I am excited to announce the general availability […]

Architecture diagram.

New for Amazon Redshift – General Availability of Streaming Ingestion for Kinesis Data Streams and Managed Streaming for Apache Kafka

Ten years ago, just a few months after I joined AWS, Amazon Redshift was launched. Over the years, many features have been added to improve performance and make it easier to use. Amazon Redshift now allows you to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes. More recently, Amazon Redshift […]

New – Amazon RDS Optimized Reads and Optimized Writes

Way back in 2009 I wrote Introducing Amazon RDS – The Amazon Relational Database Service and told you that: RDS makes it easier for you to set up, operate, and scale a relational database in the cloud. You get direct database access without worrying about infrastructure provisioning, software maintenance, or common database management tasks. Since […]

New – A Fully Managed Schema Conversion in AWS Database Migration Service

Since we launched AWS Database Migration Service (AWS DMS) in 2016, customers have securely migrated more than 800,000 databases to AWS with minimal downtime. AWS DMS supports migration between 20+ database and analytics engines, such as Oracle to Amazon Aurora MySQL, MySQL to Amazon Relational Database (Amazon RDS) MySQL, Microsoft SQL Server to Amazon Aurora […]

New – Amazon Redshift Support in AWS Backup

With Amazon Redshift, you can analyze data in the cloud at any scale. Amazon Redshift offers native data protection capabilities to protect your data using automatic and manual snapshots. This works great by itself, but when you’re using other AWS services, you have to configure more than one tool to manage your data protection policies. […]

New – Fully Managed Blue/Green Deployments in Amazon Aurora and Amazon RDS

When updating databases, using a blue/green deployment technique is an appealing option for users to minimize risk and downtime. This method of making database updates requires two database environments—your current production environment, or blue environment, and a staging environment, or green environment. You must then keep these two environments in sync with each other so […]