AWS Database Blog

In-place version upgrades for Amazon Elasticsearch Service

Today, Amazon Elasticsearch Service (Amazon ES) announces support for in-place Elasticsearch upgrades for domains that are running version 5.1 or later. This new feature lets you move to the latest release in the same major version (for example, 5.3 to 5.6) or from the latest release in a major version to the latest release in […]

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How Amazon DynamoDB adaptive capacity accommodates uneven data access patterns (or, why what you know about DynamoDB might be outdated)

Amazon DynamoDB is a nonrelational database with high performance at any scale. It is a fully managed service that adapts to your throughput needs, with built-in security, backup, and data protection. More than 100,000 developers have chosen DynamoDB for mobile, web, gaming, ad tech, IoT, and other applications that need low-latency data access. However, we […]

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How New Innovations migrated their residency management platform from Microsoft SQL Server to Amazon Aurora PostgreSQL

New Innovations has built a business around shared ideas and beliefs that all point to a larger purpose—empowering medical educators and administrators to provide quality medical education. Intelligence is advancing to the point where there is no separation between task and technology, and the result is that medical trainees and educators can be relieved of mundane administrative duties. Our partners in medical education work with us so that one day this ideal future becomes a reality.

The future is not far away, and thanks to AWS and Amazon Aurora PostgreSQL, our company has been able to build an infrastructure that scales to meet our customers’ demands. AWS Database Migration Service (AWS DMS) made our transition to Aurora PostgreSQL a seamless experience for both our customers and our software developers, while minimizing the risk. We used AWS DMS to fully migrate 700+ instances of Microsoft SQL Server to Aurora PostgreSQL. In addition, Amazon RDS Performance Insights now gives us excellent visibility into our database layer and allows us to respond quickly to any abnormalities.

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Recover from a disaster with delayed replication in Amazon RDS for MySQL

Amazon RDS for MySQL now supports a delayed replication, which allows you to set a time period that a replica database lags behind a source database. In a standard MySQL replication configuration, there is minimal delay between the source and the replica. Now you have the option to introduce an intentional delay. A delay is […]

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AWS Schema Conversion Tool blog series: Introducing new features in build 617

We are excited to introduce a new version of the AWS Schema Conversion Tool (AWS SCT). This version includes support for table-valued function conversions, additional information in server-level assessment reports, and more. For those of you who are new to AWS SCT, this tool helps convert your existing database schema from one database engine to […]

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How SGK simplified the data structure of a highly dynamic workload by migrating from an RDBMS to Amazon DynamoDB

Many database solutions are available today, and choosing the right one for your use case can be difficult. Recently, NoSQL databases have been widely adopted for real-time web applications. Amazon DynamoDB is an example of a NoSQL database that is optimized to yield significant flexibility and performance benefits over a traditional relational database management system […]

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Database Migration

How to migrate an application from an on-premises Oracle database to Amazon RDS for PostgreSQL

For years, companies have had to set up their own local databases and maintain the hardware themselves. However, as the cloud infrastructure continues to improve, there’s far less need to own and manage your own hardware. Here at Amazon, we own hundreds (if not thousands) of on-premises databases that over time we have migrated to […]

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How to use Amazon Aurora to drive 3x latency improvement for end users

Born on AWS InfoScout was born on AWS, being along for the journey since its inception in 2011. It all started with a single Amazon EC2 instance to collect receipts uploaded from friends and family. Seven years later, we now manage 150+ AWS instances to support our mobile applications, data pipelines, machine learning models, and […]

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How to perform ordered data replication between applications by using Amazon DynamoDB Streams

AWS customers use Amazon DynamoDB to store mission-critical data. These customers’ applications make millions of requests per second to individual DynamoDB tables that contain hundreds of terabytes of items. They count on DynamoDB to return results in single-digit milliseconds. In many cases, these applications have requirements to notify other systems and users about specific transactions, […]

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Load CDC data from relational databases to Amazon Kinesis using Database Migration Service

Many large enterprises are moving their data processing from batch to real-time in order to get more timely insights. The challenge of doing so is that a real-time data processing architecture must be able to keep up with the incoming data stream. This requires strong fault tolerance and elasticity. In this blog post, we discuss […]

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