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What is database migration to the cloud?

Database migration is the process of transferring data from one or more source databases to one or more target databases.

Cloud database migration is a specialized form of migration that refers to moving an on-premises or self-managed database/data warehouse to the cloud. After migration, the data is stored in the target cloud database, often optimized for better performance and efficiency.

Migration to the cloud improves performance, reduces costs, strengthens data security, and increases operational agility in modern businesses. Additionally, modern migration solutions make the process easy and secure.

Key benefits of database cloud migration

  • Scalability – handle growing data volumes and peak usage
  • Cost efficiency – save costs on internal infrastructure management
  • Operational efficiency – separate operational databases from reporting and analytics
  • Reliability – ensure high availability and uptime through a cloud-based infrastructure
  • Data protection – utilize multiple backup layers, redundancy, and distributed storage
  • Enhanced security – guarantee real-time monitoring and dedicated security teams

Why choose dbForge Edge for database migration?

When migrating a database to the cloud, you need to select the right solution for a smooth and accurate transition of databases. Many organizations rely on multiple systems; however, having all the necessary functionality in a single solution is far more convenient.

dbForge Edge is a cross-platform solution that supports SQL Server, MySQL, MariaDB, Oracle, PostgreSQL, and popular cloud services like Amazon Redshift, Azure SQL, Percona, and Amazon RDS. Its comprehensive functionality covers all major database management tasks, including migration to the cloud.

Migration can be performed with Schema Compare and Data Compare, two integrated tools of dbForge Edge. They compare database schemas and table data, provide you with comparison results, and, most importantly, synchronize databases. Thus, with their help, users can detect all differences, identify inconsistencies, and perform database migrations to a target environment with precision.

Additionally, CLI-powered automation allows users to schedule migration tasks, reducing manual effort. The graphical interface offers a visual setup, thus minimizing errors and optimizing the process. dbForge Edge proves to be a powerful and user-friendly tool that helps migrate databases in multiple ways.

Database migration strategies

Cloud database migration is a common but complex task. Such projects require precise coordination, significant time and effort, multiple technologies, and strict data loss prevention measures. A database migration strategy is a detailed plan for transferring a database from one platform to another. There are three main types of database migration to the cloud: full (big bang) migration, incremental migration, and hybrid cloud migration.

Full database migration

Full migration, also known as big bang migration, is a one-time transfer of all data from the source to the target platform. This approach is typical for large-scale changes, such as a complete system move to the cloud or significant upgrades.

A full migration occurs at a specific point in time, usually during a planned downtime window. Its main advantage is speed, making it a good choice for smaller organizations with limited data that need to migrate their entire database in one go.

However, because it requires significant downtime - often scheduled over weekends—this method may not be suitable for organizations that need continuous, 24/7 availability. Additionally, if issues arise during or after the migration, rolling back the process can be complex and challenging.

Incremental migration

Incremental database migration is a strategy of transferring data gradually from the source system to the target system. During this process, both the old and new systems run concurrently. This approach is crucial for live applications, as it ensures users can continue accessing services during the migration process.

Unlike a full migration, incremental migration breaks the process into smaller, manageable sub-migrations—each with its own scope, goals, and timeline. For example, new functionality can be introduced on the target system while legacy components remain on the original system. This provides greater flexibility and control, but it also requires significantly more time and resources. One challenge of incremental migration is potential inconsistency: some features might rely on the old database, while others operate on the new one. This split can lead to issues if not carefully managed.

Incremental migrations are commonly used when deploying new features to production environments. A key challenge in this context is keeping staging and production environments in sync. Tools like Schema Compare and Data Compare help address this by comparing and synchronizing databases across environments. These tools support precise deployment—even down to individual records—without affecting unrelated schemas or data.

Hybrid cloud migration

Hybrid migration is a strategy that balances the use of cloud services with on-premises resources. This architecture enables businesses to combine the advantages of cloud platforms—such as scalability and operational efficiency—with greater control over sensitive data and critical systems stored in their own data centers. It also plays a key role in many data protection protocols.

The first step is to determine which components should be migrated to the cloud and which should remain on-premises. Hybrid cloud migrations can follow various strategies. The simplest is rehosting, where applications and data are moved to the cloud with minimal changes to code or architecture. This is a fast and straightforward method, suitable for full migrations. Another strategy is replatforming, which involves modifying the application to better align with the cloud environment. While more complex, it suits incremental migrations, allowing organizations to gradually adopt cloud features and optimize performance.

dbForge Edge, with its robust schema and data comparison tools, supports both approaches. It ensures quick, accurate, and efficient database deployment to the cloud—whether as a one-time migration or a continuous, phased process.

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Step-by-step guide to migrating databases to the cloud with dbForge Edge

Whenever you need to migrate your database to the cloud, you can use dbForge Edge to perform this task smoothly and precisely. It is suitable to perform one-time full migration or regular incremental migrations. Besides, the option of automating regular tasks allows you to schedule and run incremental migrations automatically relying on the command line.

dbForge Edge supports all major cloud platforms, including AWS, Azure, and Google Cloud. You need to have an account with such a service and a cloud database instance. Below you can see the step-by-step guide on migrating the database to the cloud. We’ll take PostgreSQL cluster on AWS and a PostgreSQL database to illustrate the guideline.

Setting up the cloud database

The first stage is connecting to the required cloud database platform. dbForge Edge is a solution that contains four multi-featured IDEs called Studios, each designed for specific RDBMS – for SQL Server, for MySQL, for Oracle, and for PostgreSQL. Database comparison and synchronization features are present in all Studios.

As we chose the Amazon Web Service and PostgreSQL, we need a PostgreSQL cluster on AWS. If you don’t have one, set it up as described in the official instructions. To connect to your cloud PostgreSQL instance, do the following:

Launch dbForge Studio for PostgreSQL and click New Connection.

Provide the connection details for your cloud database instance.

Click Test Connection to verify the details or click Connect at once.

Pre-migration assessment

The most fundamental task in migrating databases to the cloud is ensuring the accurate transfer of data. Depending on your environment and specific work scenarios, you may need to perform either a full data migration, which copies all database data to the cloud, or an incremental data migration, which transfers only the data that has been added or modified.

In both cases, you can rely on dbForge Studio and its Data Compare feature.

Once you've connected to your cloud instance, you can run a data comparison task to identify differences between the source (on-premises) and target (cloud-based) databases. The Data Compare tool can analyze and synchronize data across both environments, ensuring consistency and accuracy throughout the migration process.

1. In dbForge Studio for PostgreSQL, navigate to Comparison and choose New Data Comparison.

2. Select the original database as Source and the database in the cloud as Target.

3. Click Compare to launch the analysis.

When the process is complete, you can check which data is missing in the target cloud database.

Running the migration process

When you define the data to be transitioned to the cloud, click the green arrow on the top to start the synchronization process.

The Synchronization Wizard allows you to configure the data migration task in several clicks. This tool generates synchronization script for deploying the data. You can execute this script immediately or save it for review, editing, and further reuse, if needed.

How often you need to transfer data from your sources to the cloud database depends on your unique work requirements, but you can automate regular database migration tasks. Click Save Command Line in the lower left corner of the Wizard and save the necessary configurations as a .bat file to use it further for automation.

Post-migration testing & optimization

After completing the synchronization task, refresh the window displaying the previous comparison results to confirm that the required data has been successfully transferred.

Once your database has been successfully migrated to the cloud, you can further optimize it to better suit the new environment. With dbForge Edge, you can manage cloud databases just as efficiently as on-premises ones.

It provides a comprehensive toolkit for writing, analyzing, and optimizing queries; importing and exporting data; designing database objects and entire databases; version-controlling databases; managing users and permissions; and handling many other essential database tasks.

Conclusion

dbForge Edge is an ideal tool for handling database tasks across all major database management systems, and it supports all popular cloud platforms.

When it comes to database migration to the cloud, dbForge Edge enables you to perform the process efficiently and accurately regardless of the migration type. You can try dbForge Edge with a fully functional free trial. Install it to explore its powerful features and integrate them into your everyday workflow across multiple database systems.

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