AWS Database Blog

AWS Database Migration Service (AWS DMS) helps you migrate on-premises databases to AWS quickly and securely. It supports homogeneous migrations as well as heterogeneous migrations. The source database remains operational while the migration is running or being tested. Migration takes place using a DMS replication server, source, target endpoints, and migration tasks. If you are […]

Organizations moving to secure their critical data worry about while it’s both at-rest and in transit. Relational databases are a common example of situations in which business-critical data must be secured. Microsoft SQL Server lets you secure the in-transit data using Secure Sockets Layer (SSL) encryption. This post reviews the process of enabling SSL encryption […]

Database migration can be a complicated task. It presents all the challenges of changing your software platform, understanding source data complexity, data loss checks, thoroughly testing existing functionality, comparing application performance, and validating your data. AWS provides several tools and services that provide a pre-migration checklist and migration assessments. You can use the AWS Schema […]

Customers continue to want greater visibility and control over the services they use within AWS. When it comes to our database services, customer requests typically revolve around providing greater insights into the query optimization and processing within a given database. Database developers and administrators are mostly already familiar with the idea and use of database […]

June 2023: For Aurora databases where IO is greater than 25% of your costs, check out this blog post and recent announcement to see if you can save money with Aurora I/O-Optimized. Cost reduction is one of the biggest drivers for many IT departments to explore migration of on-premises workloads to the cloud. This post […]

January 2024: This post was reviewed and updated for accuracy. Storing user names and passwords directly in applications is not a best practice. Saving credentials as plaintext should never occur in a secure application. As a solution, AWS Identity and Access Management (IAM) policies can assign permissions that determine who is allowed to manage Amazon […]

Amazon RDS makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching, and backups. It frees you to focus on your business logic and application features, leaving the heavy lifting to AWS. […]

January 2024: This post was reviewed and updated for accuracy. PostgreSQL is one of the most popular open-source relational database systems. The product of more than 30 years of development work, PostgreSQL has proven to be a highly reliable and robust database that can handle a large number of complicated data workloads. PostgreSQL is considered […]

The use of NoSQL databases has increased significantly in recent years as more and more organizations see NoSQL databases as solutions that free them from the constraints of a relational database management system (RDBMS). While the flexibility, agility, and performance of NoSQL databases are the main benefits triggering the shift towards them, the popularity of […]

Amazon Neptune now supports the Apache TinkerPop 3.4.1 release. In this post, you will find examples of new features in the Gremlin query and traversal language such as text predicates, changes to valueMap, nested repeat steps, named repeat steps, non-numerical comparisons, and changes to the order step. It is worth pointing out that TinkerPop 3.4 […]