AWS Database Migration Service, also known as AWS DMS, is a cloud service that facilitates the migration of relational databases, NoSQL databases, data warehouses, and other types of data stores. The product can be used to migrate users' data into the AWS Cloud or between combinations of on-premises and cloud setups. The solution allows migration between a wide variety of sources and target endpoints; the only requirement is that one of the endpoints has to be an AWS service. AWS DMS cannot be used to migrate from an on-premises database to another on-premises database.
AWS Database Migration Service allows users to perform one-time migrations, as well as replications of ongoing changes to keep sources and targets in sync. Organizations can utilize the AWS Schema Conversion Tool to translate their database schema to a new platform and then use AWS DMS to migrate the data. The product offers cost efficiency as a part of the AWS Cloud, as well as speed to market, flexibility, and security.
The main use cases of AWS Database Migration Service include:
- Migrating from legacy or on-premises databases to managed cloud services through a simplified migration process.
- Reliable replication of backup files to minimize downtime and data loss.
- Improvement of integration through building of data lakes and performing real-time processing on change data from users' data stores.
AWS Database Migration Service Components
AWS Database Migration Service consists of various components which function together to achieve users’ data migration. A migration on AWS DMS is structured in three levels: a replication instance, source and target endpoints, and a replication task. The components include the following actions:
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Replication instance: AWS Database Migration Service provides users with a variety of replication instances, allowing them to select the optimal configuration for their use case. Depending on the instance class an organization selects, their replication instance provides a different amount of data storage.
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Endpoint: AWS DMS uses an endpoint to access users' source or target data stores. The connection information is different and depends on the specific data store, but it usually consists of the following information: endpoint type, engine type, server name, port, encryption, and credentials. This information can easily be managed through the AWS DMS console.
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Replication tasks: AWS Database Migration Service replication tasks can be used to move a set of data from the source endpoint to the target endpoint. The creation of a replication task is the last required step before starting a migration. Each replication task requires the following settings to be set: replication instance, source endpoint, target endpoint, and migration type options.
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Ongoing replication or change data capture (CDC): AWS DMS also has the capacity to capture ongoing changes to the source that is stored while users migrate their data to a target.
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Schema and code migration: The product requires assistance from tools such as MySQL Workbench, pgAdmin III, and Oracle SQL Developer to perform schema or code conversion, as it cannot do it on its own.
AWS Database Migration Service Benefits
AWS Database Migration Service offers its users a wide range of benefits. Among them are the following:
- The solution ensures minimal downtime, as it continuously replicates the changes to the user’s source database during migration.
- AWS DMS provides users with flexibility, as it supports many commonly used databases, including commercial and open-source ones.
- The product is user friendly, as it offers an easy set of tasks in the AWS Management Console.
- Users of Aurora, Redshift, DocumentDB, and DynamoDB can benefit from the free use of AWS DMS.
- AWS Database Migration Service is very reliable because it is a self-healing service that automatically restarts in cases of interruptions.
- The product supports both homogenous migrations and heterogenous migrations.
- AWS DMS accelerates business growth, as it scales businesses at an affordable price.
Reviews from Real Users
Vishal S., an infrastructure lead at a computer software company, likes AWS Database Migration Service because it is easy to use and set up.
Vinod K., a data analyst at AIMLEAP, describes AWS DMS as an easy solution to save and extract data.
The Intelligent Data Lake enables raw big data to be systematically transformed into fit-for-purpose data sets for a variety of data consumers. Data scientists and analysts can quickly find the data they’re looking for using semantic and faceted search. They can see data profiles, lineage, and other relationships to know whether they can trust the data and whether it’s fit-for-use in their analytic projects.
