AWS Database Blog

Administering databases in self-managed environments such as on premises or Amazon Elastic Compute Cloud (Amazon EC2) requires you to spend time and resources on database administration tasks such as provisioning, scaling, patching, backups, and configuring for high availability. Organizations are moving their self-managed Oracle databases to AWS managed database services to offload undifferentiated heavy lifting […]

The gaming industry has evolved significantly over the past few years. A feature that has become essential to that evolution is to be friends with other players and play together in the same game. From the players’ point of view, the process to become friends is straightforward. A player sends a friend request to another, […]

In this post, we show you a modernization path for the migration of your JSON workloads from on-premises databases to the AWS Cloud. You can move your document workloads to Amazon DocumentDB (with MongoDB compatibility), and use full capabilities of this purpose-built JSON database. Amazon DocumentDB is a fully-managed native JSON document database that makes […]

In this post, we show you how to use AWS Glue to perform vertical partitioning of JSON documents when migrating document data from Amazon Simple Storage Service (Amazon S3) to Amazon DynamoDB. You can use this technique for other data sources, including relational and NoSQL databases. DynamoDB can store and retrieve any amount of data, […]

AWS Database Migration Service (AWS DMS) is used for migrating databases to AWS, but you can also use it for replicating data with low latency from any supported source to any supported target. When working with Oracle database, AWS DMS stops replicating data changes due to reset logs when the standby database is transitioned to […]

This post is co-written with Bobber Cheng and Ronit Rudra from CSC Generation. CSC Generation is a company that focuses on acquiring overlooked stores and catalog-based retailers and transforming them into high-performance, digital-first brands. As we grew through multiple acquisitions, it became apparent that our legacy product information system (PIM), backed by relational databases, was […]

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale MySQL and MariaDB deployments in the cloud. Developers are often required to run complex queries in MySQL and MariaDB environments to create a dashboard or run simple ad hoc reports. Furthermore, application developers use complex stored procedures with user-created temporary […]

Amazon DynamoDB global tables provide a fully managed, scalable solution for deploying a multi-Region, multi-active database that’s replicated across multiple AWS Regions. Global tables allow applications to read and write data to a table, with the data automatically replicated across all Regions that are associated with that table. Global tables are ideal for applications that […]

In this blog post, we explain why you should consider moving your self-managed open source software (OSS) Redis workloads to managed Amazon ElastiCache for Redis. OSS Redis is a powerful, in-memory data store designed to meet the demands of modern high-performance applications. With OSS Redis, you can tackle a wide range of use-cases, including caching, […]

Database migration is a complex process that usually involves capacity planning, data migration and cutover strategies, hardware and software procurement, and a lengthy debugging and testing schedule. The common challenge in migrating from a relational database to a non-relational database is selecting the appropriate modeling technique and migration technologies. This is the second part of […]