AWS Database Blog

AWS provides two managed PostgreSQL options: Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL. Both support IAM authentication for managing access to your database. You can associate database users with IAM users and roles to manage user access to all databases from a single location, which avoids issues caused by permissions being out of sync […]

Last updated: December 17, 2019 2019 has been another busy year for Amazon DynamoDB. We have released new and updated features that focus on making your experience with the service better than ever in terms of reliability, encryption, speed, scale, and flexibility. The following 2019 releases are organized alphabetically by category and then by dated […]

April 2023: This post was reviewed and updated with a new section on Limitations Amazon Relational Database Service (Amazon RDS) for PostgreSQL now supports the feature Transportable Databases, a high-speed data import and export method supported on versions 11.5 and later and 10.10 and later. If you need to import a PostgreSQL database from one […]

The Amazon DocumentDB team had a great time meeting with many of you at AWS re:Invent 2019, listening to your feedback and use cases, and understanding what you want us to build next. For me, the highlights of re:Invent were the two great customer use cases presented by FINRA and Fulfillment by Amazon (FBA). Both […]

Many AWS users take advantage of the managed service offerings available in the AWS portfolio to do the heavy lifting in their day-to-day activities. Amazon RDS is one of these services and is ideal for your relational database deployments. With RDS, you can significantly reduce the administrative overhead of managing and maintaining a relational database. […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Machine-generated data powers solutions and causes problems. It’s indispensable for identifying operational issues in today’s modern software applications, yet you need flexible, scalable tools like Amazon Elasticsearch Service to analyze it in real time. This log data is so valuable […]

In this post, I take a close look at three exciting features in PostgreSQL 11: partitioning, parallelism, and just-in-time (JIT) compilation. I explore the evolution of these features across multiple PostgreSQL versions. I also cover the benefits that PostgreSQL 11 offers, and show practical examples to point out how to adapt these features to your applications.

Data generated from various media applications is valuable for organizations to understand customer sentiments and product feedback. It can also be used to recommend new products and services to their customers. This type of data is highly connected and is challenging to ingest and store in a relational database. A relational database does not store […]

Amazon DynamoDB is a serverless database, and is responsible for the undifferentiated heavy lifting associated with operating and maintaining the infrastructure behind this distributed system. As a customer, you use APIs to capture operational data that you can use to monitor and operate your tables. This post describes a set of metrics to consider when […]

Today, Amazon DynamoDB introduced support for customer managed customer master keys (CMKs) to encrypt DynamoDB data. Often referred to as bring your own encryption (BYOE) or bring your own key (BYOK), this functionality lets you create, own, and manage encryption keys in DynamoDB, giving you full control over how you encrypt and manage the security […]