AWS Database Blog

Updated 04/2022 to reflect product changes. Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity. At the same time, it automates time-consuming administration tasks such as hardware provisioning, database setup, patching, and backups. It frees you to […]

October 2023: This post was reviewed and updated for accuracy. If you are using Amazon Relational Database Service (RDS), you may wonder about how to determine the best time to modify instance configurations. This may include determining configurations such as instance class, storage size, or storage type. Amazon RDS supports various database engines, including MySQL, […]

This blog post was last reviewed and updated February, 2022. Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. You can use the same MongoDB 3.6, 4.0, or 5.0 application code, drivers, and tools to run, manage, and scale workloads on Amazon DocumentDB […]

The PostgreSQL community continues its consistent cadence of yearly major releases with PostgreSQL 12. PostgreSQL 12 introduces features opening up new development opportunities while simplifying the management of some already robust capabilities, such as new ways to query JSON data, enhancements to indexes, and better performance with partitioned tables. In this post, I take a […]

June 2023: Amazon DynamoDB can now import Amazon S3 data into a new table. DynamoDB import from S3 helps you to bulk import terabytes of data from Amazon S3 into a new DynamoDB table with no code or servers required. November 2022: This post was reviewed and updated for accuracy. This post reviews what solutions […]

Historically, the PostgreSQL community releases a new major version yearly, and with that, has a defined end of life (EOL) policy of older major versions. This allows version and upgrade decisions to be made on dates known well into the future. The community EOL policy is to support a major version for 5 years after […]

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB 3.6 or 4.0 or 5.0 workloads. You can use the same MongoDB application code, drivers, and tools as you do today to run, manage, and scale workloads on Amazon DocumentDB without worrying about the underlying […]

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. Amazon DocumentDB makes it easy and intuitive to store, query, and index JSON data. If you are new to Amazon DocumentDB, see Ramping up on Amazon DocumentDB (with MongoDB compatibility). Amazon DocumentDB continues to […]

Storing and querying investment dependencies as a graph in Amazon Neptune reveals new relationships. EDGAR (Electronic Data Gathering, Analysis, and Retrieval) is an online public database from the U.S. Securities and Exchange Commission (SEC). EDGAR handles automated collection, validation, indexing, acceptance, and submission forwarding by entities that are required by law to file forms with […]

When migrating production applications, it is often important to have a fallback option. This blog post demonstrates how to use global transaction identifier (GTID)-based replication to migrate Amazon RDS MySQL workloads to Amazon Aurora MySQL. We also discuss how to use a fallback mechanism in case you encounter any issues. For more information about GTID-based […]