AWS Database Blog

Tag: migration

Introducing the Amazon Database Migration Accelerator

Today, we announce the launch of Amazon Database Migration Accelerator (DMA). Amazon DMA brings together AWS Database Migration Service (DMS), AWS Schema Conversion Tool (SCT), and AWS database migration experts to help customers migrate away from traditional commercial databases at fixed prices. At launch, we offer Amazon DMA to customers migrating from Oracle and SQL […]

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Migrating PostgreSQL from on-premises or Amazon EC2 to Amazon RDS using logical replication

PostgreSQL is one of the most advanced popular open-source relational database systems. With 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. For many, PostgreSQL is the open-source database of choice when migrating from commercial databases […]

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Migrating to Amazon DocumentDB with the hybrid method

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 application code, drivers, and tools to run, manage, and scale workloads on Amazon DocumentDB without worrying about managing the underlying infrastructure. As a document database, Amazon DocumentDB […]

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How Zendesk tripled performance by moving a legacy system onto Amazon Aurora and Amazon Redshift

This is a guest post by James Byrne, Engineering Leader at Zendesk, focusing on data pipeline development and operations for the Zendesk Explore analytics product, and Giedrius Praspaliauskas, AWS Solutions Architect. Zendesk is a CRM company that builds support, sales, and customer engagement software designed to foster better customer relationships. From large enterprises to startups, […]

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Migrating a Neo4j graph database to Amazon Neptune with a fully automated utility

Amazon Neptune is a fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. You can benefit from the service’s purpose-built, high-performance, fast, scalable, and reliable graph database engine when you migrate data from your existing self-managed graph databases, such as Neo4j. This post shows […]

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Migrating to Amazon DocumentDB with the online method

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 application code, drivers, and tools to run, manage, and scale workloads on Amazon DocumentDB without having to worry about managing the underlying infrastructure. As a document database, […]

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Migrating to Amazon Aurora MySQL with fallback option using GTID-based replication

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 […]

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Migrating legacy PostgreSQL databases to Amazon RDS or Aurora PostgreSQL using Bucardo

If you are using PostgreSQL earlier than 9.4, you are using an unsupported version of PostgreSQL, and may have limited options to migrate or replicate your databases in Amazon RDS or Amazon Aurora PostgreSQL. This is primarily because PostgreSQL versions older than 9.4 can’t perform logical replication. Bucardo is an open-source utility that can replicate […]

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Migrating Oracle databases with near-zero downtime using AWS DMS

Do you have critical Oracle OLTP databases in your organization that can’t afford downtime? Do you want to migrate your Oracle databases to AWS with minimal or no downtime? In today’s fast-paced world with 24/7 application and database availability, some of your applications may not be able to afford significant downtime while migrating on-premises databases […]

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