AWS Database Migration Service

AWS Database Migration Service


AWS Database Migration Service offers smooth transfer of data from one server to another. It supports both homogeneous and heterogeneous migrations. Besides, it replicates data to various centres and schedules this process for a period. It pushes data from many servers into a single target. This service produces a detailed report of data stored in the database and lists procedure to be performed based on the source and the target server.

Based on 16 Votes
Top AWS Database Migration Service Alternatives
  • Parabola
  • Fivetran
  • AWS Data Pipeline
  • Dexi
  • Blendo
  • Xplenty
  • Logstash
  • Alooma
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Top AWS Database Migration Service Alternatives and Overview



Parabola is automation software that lets you automate daily routine tasks without the need of developers or coders.

By: Parabola
Based on 11 Votes


By: Fivetran
Based on 9 Votes

AWS Data Pipeline

AWS Data Pipeline is a cloud-based solution for the management of data flow from one system to another.

Based on 23 Votes


Dexi is an artificial intelligence-powered data integration suite, and that helps to understand the cost of SKUs, connect to live dashboards and process data and prepare structured data for the web.

By: Dexi
Based on 4 Votes
5, powered by MuleSoft’s Anypoint Platform, is the go-to software for import and export of data from Salesforce.

By: MuleSoft
Based on 17 Votes


Blendo is a data integration software that delivers analytics-ready data to business intelligence software.

By: Apirise Inc.
Based on 6 Votes


Xplenty is a data integration and assimilation software which enables the user to combine, manage, and interpret data from a variety of sources on one single platform.

By: Xplenty
Based on 14 Votes


By: Elastic
Based on 12 Votes


Alooma is a data integration platform that allows you to modify and manipulate data & data sets as per requirement.

By: Alooma Inc.
Based on 4 Votes

AWS Database Migration Service Review and Overview

Data Migration is a catch-22 procedure yet essential to the development of products. When handled heedlessly, it may bring data loss and increased downtime. As a result, a significant loss occurs for organizations which operate over data. On the other hand, the migration services cost an arm and leg that small-sized companies could not afford. AWS is a suitable tool for companies that look for cheap and perfect migration service.

Seamless data transfer

AWS moves data from one database to other in less time by studying the nature of objects and dependencies before performing the migration. It does not require any additional drivers for this operation. It conducts a homogeneous movement of data in one step by connecting the source and target server. However, in the case of the heterogeneous migration, it first converts the fields in source server to match those in the target server. Secondly, it transfers data to the destination. Even after migration, the target and source database are synchronized for a certain period to facilitate data transfer any time.

Streamlined data conversion

AWS deploys the Schema conversion tool to performs the data conversion process in heterogeneous migration. It detects the files that cannot be automatically converted and notifies the user. AWS Migration Service offers services like replication of files in the database to various centres. Thus, increasing the availability and decreasing the downtime of the data fetching. It gathers the data from different sources to a single destination.

Reuse the instances

Instances are workflow designed by users to perform the migration. These instances are created with ease in the dashboard and reused whenever required. AWS uses the Workload qualification framework for calculating the nature of the database. It groups process based on workload and complexity, so the users have a view on the operations carried out. It guides the users about steps involved migration and informs the number of technical assistants needed for the migration process.

Company Information

Company Name: AWS

Founded in: 2006