Category: Database

March 23, 2020: Post updated to clarify networking, IAM permissions, and database configurations required to use machine learning from Aurora databases. A new notebook using SageMaker Autopilot gives a complete example, from the set up of the model to the creation of the SQL function using the endpoint. The integrations described in this post are now available for MySQL and […]

[This post has been updated on March 17th 2020. You can now update update existing global tables to the new replication model] Hundreds of thousands of AWS customers are using Amazon DynamoDB. In 2017, we launched DynamoDB global tables, a fully managed solution to deploy multi-region, multi-master DynamoDB tables without having to build and maintain […]

Last year I told you that we were working to give you Amazon RDS on VMware, with the goal of bringing many of the benefits of Amazon Relational Database Service (RDS) to your on-premises virtualized environments. These benefits include the ability to provision new on-premises databases in minutes, make backups, and restore to a point […]

Over my 17 years at Amazon, I have seen that my colleagues on the engineering team are never content to leave good-enough alone. They routinely re-evaluate every internal system to make sure that it is as scalable, efficient, performant, and secure as possible. When they find an avenue for improvement, they will use what they […]

I am always impressed by the flexibility of Amazon DynamoDB, providing our customers a fully-managed key-value and document database that can easily scale from a few requests per month to millions of requests per second. The DynamoDB team released so many great features recently, from on-demand capacity, to support for native ACID transactions. Here’s a […]

Learn about AWS Services & Solutions – September AWS Online Tech Talks Join us this September to learn about AWS services and solutions. The AWS Online Tech Talks are live, online presentations that cover a broad range of topics at varying technical levels. These tech talks, led by AWS solutions architects and engineers, feature technical […]

Given the wide range of data types, query models, indexing options, scaling expectations, and performance requirements, databases are definitely not one size fits all products. That’s why there are many different AWS database offerings, each one purpose-built to meet the needs of a different type of application. Introducing QLDB Today I would like to tell […]

As soon as companies started to have data in digital format, it was possible for them to build a data warehouse, collecting data from their operational systems, such as Customer relationship management (CRM) and Enterprise resource planning (ERP) systems, and use this information to support their business decisions. The reduction in costs of storage, together […]