What is database migration?

The process of transferring data through one or more origin datasets to one or even more target databases using only a database migration tool is known as database migration. When a migration is complete, the dataset in the origin databases is fully replicated in the target databases, however it may be reorganized. Clients who used the origin databases are switched to the targeted databases, and the origin databases are decommissioned.

database migration


The following are the most essential data migration terms for these documents:

  • A source database includes data that will be transferred to one or more target databases.
  • A database that accepts data migrated from one or more source databases is referred to as a target database.
  • Database migration is the process of moving data from source databases to target databases with the purpose of shutting down the source databases once the migration is complete. The full dataset is moved, or a subset of it.
  • Homogeneous migration: A relocation from origin databases to target databases in which both the source and destination databases are managed by the very same database management system.
  • A database migration system is a software system or service that links to source and target databases and performs data transfers between them.
  • Data migration process: The data migration system's defined or implemented procedure for transferring data from source to the target databases, perhaps modifying the data in the process.
  • Database replication is the process of continuously transferring data from the source databases to destination databases without the objective of shutting down the source databases. Database replication (also known as database streaming) is a continuous procedure.

What is Q-Migrator?

Q-Migrator is a web-based application for converting on-premises or cloud databases like Oracle/SQL Server to accessible databases like PostgreSQL, MySQL, and MariaDB. From client onboarding to evaluation, deployment, and testing, this highly secure QMigrator solution manages all parts of Database migration. The primary differentiation that no other technology in the market offers is automated code transformation for heterogeneous database migrations. The entire transition process can be optimized, including any manual code transformations, to reduce migration time from months to weeks. Q-migrator helps to optimize your data migration process by countless hours.

Classification of database migrations

1. Replication vs Migration

You migrate data from source databases to destination databases in a data migration. You destroy the source databases and redirect client access to the target databases once the data has been completely moved. If you run into problems with the target databases, you may want to maintain the source databases as a backup. However, once the destination databases are stable, the source databases are eventually removed.

Database replication, on the other hand, transfers data from source databases to target databases in real time without deleting the source databases. Database streaming is another term for database replication. While there is always a set start time, there is usually no set end time. The replication could be halted or turned into a migration.

2. Partial versus complete migration

A database migration is defined as a complete and accurate data transfer. You specify whether the starting dataset to be moved is a whole database or a selective database (a portion of a database's data), as well as any subsequent changes made on the source database system.

Features of Q-Migrator


Client registration and onboarding

The QMigrator registration procedure is straightforward and intuitive, and once registered, the customer will be able to navigate and onboard themselves without difficulty, considering the seamless user interface of Q-migrator. Alternatively, our customer service team will be able to assist you at any hour, in case you face any issues while navigating through Q-Migrator or while data migration.


Preliminary assessment

This module gathers data on several categories such as organization, infrastructure, and resources through easy questions and responses, and rates the maturity level of each category to assist the client in making educated decisions. This is to ensure that you receive the finest and only the best results for all of your queries.



The preliminary assessment is supplemented by the Discovery module. It aids in determining the initial migration scope as well as a reasonable estimate of infrastructure and migration costs, all of which are important considerations in determining TCO and ROI. You will have a clear picture of what to expect in terms of cost of ownership and returns if you use the Discovery module.


Plan and Decide

Our migration specialists and architects will put up a complete migration and modernization plan that will aid the client decision process after discovering the scope, benefits, and dangers of migration via Preliminary Assessment and Discovery and identifying the need for modernization. You will be able to have a clear strategy to help your data migration process run smoothly with the support of our qualified personnel and years of experience.



Storage object conversion, code object conversion, data masking, data migration, data validation, workload execution, functional testing, and performance testing are all handled by the Migration and Validation modules. As a result, you may feel comfortable that your migration process is proceeding successfully. Why shouldn't it be? After all, it's being handled by the best of the best.



Following data validation, the Deployment module deploys the application into the test environment, allowing clients to conduct end-to-end testing with the least amount of effort and with the greatest ease. This way, your data migration process takes place seamlessly.



The QMigrator programme visualizes all of Power BI's important reports.


Manual and Automated Code Conversion

QMigrator converts the majority of the code (> 90%) automatically, although manual conversion is sometimes required. The entire process is streamlined and automated, saving you a ton of time and effort (and maybe even money).

Database migration cardinality

Database migration is frequently performed between a single source database and a single target database. The cardinality in such cases is 1:1. (direct mapping). That is, a source database is migrated to a target database without any changes.However, direct mapping is not the only option. The following are some of the other cardinalities:

  • Reorganization: Consolidation is the process of moving data from multiple source databases to a smaller number of target databases (or even one target). You might use this method to make database management easier or to use a scalable target database.
  • Distribution: You migrate data from one source database to numerous target databases using a distribution.This method could be used, for example, to migrate a big centralized database with regional data to multiple regional target databases.
  • Re-distribution: You move data from numerous source databases to several target databases in a re-distribution. When you have sharded source databases with shards of varying sizes, you might utilize this strategy. The sharded data is evenly distributed among numerous target databases that reflect the shards after the re-distribution.

In addition to migrating data, database migration allows you to redesign and deploy your database architecture.

Migration Consistency

A data migration procedure should be consistent, according to the expectation. Consistent denotes the following in the context of migration:

  • Complete. All of the data that has been specified to be moved has been migrated. The supplied data could be full or a subset of the data in a source database.
  • There are no duplicates. Each and every piece of data is moved only once. There is no duplication of data in the target database.
  • Ordered. The source database's data updates are transferred to the target database in the very same sequence as they occurred in the source database. This is necessary to maintain data consistency.

Another way to think about migration consistency is that when a migration is finished, the data states in the source and target databases are the same. For example, in a homogeneous migration involving the direct mapping of a relational database, the source and target databases must have the identical tables and rows.

Since not all database migrations are built on sequentially executing transactions from the data source to the target database, this alternate manner of describing transition consistency is critical. For example, you may back up the source database and then restore the content of the source database into the target database using the backup (when significant downtime is possible).

Active-passive versus active-active migration

The ability to adjust query processing in the source and the target databases is a key distinction. The source database systems can be modified during migration in an active-passive data migration, but the target databases only allow read-only access.

During the migration, clients can write to both the source and target databases with an active-active migration. Conflicts can arise during this type of migration. For example, if the semantics of the same data element in the source and the target databases are incompatible, you may need to execute conflict resolution procedures to solve the disagreement.

Using conflict resolution rules, you must be able to fix all data discrepancies in an active-active migration. If you can't, you'll probably have data discrepancy.