Database Migration

Save time and cost by migrating to fully managed databases

GcloudDatabase Migration Service helps you migrate databases to GCloud quickly and securely. The source database remains fully operational during the migration, minimizing downtime to applications that rely on the database. The GcloudDatabase Migration Service can migrate your data to and from the most widely used commercial and open-source databases.

Database Migration strategy

Mainly 3 Types of Database Migration Strategies

There are three main approaches to database migration: big bang data migration, trickle data migration, and zero downtime migration.

Big Bang Database Migration

A big bang migration transfers all data from one source system to a target database in a single operation at a single point in time. Often it’s performed during a weekend or a scheduled downtime period.

The benefit of this strategy is its simplicity, as everything occurs in a time-boxed event. The tradeoff is downtime. This can be undesirable for organizations that run their systems 24/7.

Trickle Database Migration

A trickle migration follows an agile-type approach to database migration. It breaks down the migration into small sub-migrations, each having its own scope, deadlines, and goals. This way, it’s easier for the database migration team to confirm the success of each phase. If any sub-processes falter, it’s common to only re-work the failed process. As a result, the lessons from the failure can be utilized to improve subsequence runs. That’s one of the reasons why it’s less prone to unexpected failures.

Zero-Downtime Database Migration

A zero-downtime migration replicates data from the source database to the target database. It allows the client to access and operate on the source database while the migration is in process.

Benefits include less business disruption, faster migration, and minimal cost, especially when considering business impact and all-hands migration efforts.

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  • Database-sensitive migration moves data, schema, and objects to Gsoft
  • Easy-to-understand process helps you get the job done right the first time
  • Supports MySQL, PostgreSQL, MongoDB, and Redis migration to Gcloud from on-premises and other clouds
  • Highly resilient and self-healing migration service provides reliable outcomes with near-zero downtime


Simple to use
Gcloud Database Migration Service is simple to use. There is no need to install any drivers or applications, and it does not require changes to the source database in most cases. You can begin a database migration with just a few clicks in the Gcloud Management Console. Once the migration has started, DMS manages all the complexities of the migration process including automatically replicating data changes that occur in the source database during the migration process
Minimal downtime
GcloudDatabase Migration Service helps you migrate your databases to AWS with virtually no downtime. All data changes to the source database that occur during the migration are continuously replicated to the target, allowing the source database to be fully operational during the migration process
Supports widely used databases
GcloudDatabase Migration Service can migrate your data to and from most of the widely used commercial and open source databases
Low cost
GcloudDatabase Migration Service is a low cost service. You only pay for the compute resources used during the migration process and any additional log storage.
Highly scalable
Scale up at any time to support your business growth.

How does DB migration work? The process of DB migration is a multi-step process that starts with assessing the source system and finishes at testing the migration design and replicating it to the product build. It is important to have an appropriate database migration strategy along with the right DB migration tools to make the process more efficient

Understanding the Source Database

An important database migration step to understand is that the source data that will populate your target database before starting any database migration project. Here are the questions that you should be able to answer about your source database:

What is the size of the source database? The size and complexity of the database you are trying to migrate will determine the scope of your migration project. This will also determine the amount of time and computing resources required to transfer the data.

What kind of data types will be involved? If you are migrating data between different databases, such as an SQL database to an Oracle one, you will need schema conversion capabilities to execute your DB migration project successfully.

Assessing the Data

This step involves a more granular assessment of the data you want to migrate. You would want to profile your source data and define data quality rules to remove inconsistencies, duplicate values, or incorrect information. Data profiling at an early stage of migration will help you mitigate the risk of delays, budget overruns, and even complete failures. You will also be able to define data quality rules to validate your data and improve its quality and accuracy resulting in efficient DB migration.

Converting Database Schema

Heterogeneous migrations that involve migrating data between different database engines are relatively more complex than homogenous migrations. While schemas for heterogeneous database migrations can be converted manually, it is often very resource-intensive and time-consuming. Therefore, using a data migration tool with database schema migration conversion capability can help expedite the process and migrate data to the new database.

Testing the Migration Build

It’s a good idea to adopt an iterative approach towards testing a migration build. You can start with a small subset of your data, profile it, and convert its schema instead of running a full migration exercise at once. This will help you ensure that all mappings, transformations, and data quality rules are working as intended. Once you have tested a subset on your database migration tool, you can increase the data volume gradually and build a single workflow.

Executing the Migration

Most companies plan migration projects for when they can afford downtimes, to minimize or outright eliminate interruptions to everyday data management processes.
Once all the data has been migrated to the new database successfully, a retirement policy needs to be developed for the old database, if required. In addition, systems need to be put into place to validate and monitor the quality of the data transferred to the target database.

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Gcloud architects, consultants and experts can assist your organization in tailoring the perfect cloud solution for all your business requirements.

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Data migration is required when anytime data must be moved from one application to another. Migration is relevant for companies who are:

  • Acquiring or merging with other companies
  • Expanding into new lines of business
  • Initiating Green IT projects to reduce hardware and systems environmental and dollar costs
  • Harmonizing data and processes across organizational boundaries
  • Conducting a Global SAP rollout

Migration projects are relevant for all types companies, including those with SAP applications, non-SAP applications, upgrading: any company who needs to migrate data from one application to another.

Frequently Asked Questions
Visit the Database Migration Service section of the Management Console and open a ticket for the migration task. Specify your source and target end points and Gclouddatabase team will do the migration process.
GcloudDatabase Migration Service is a low-cost service to help you migrate databases to Gcloudeasily and securely. Replication tasks can be set up in minutes instead of hours or days.
Depends on the reason for and type of migration you choose to perform. At a minimum, you’ll want to do the following.
  • Perform an Assessment
  • Prototype Migration Configuration
  • Design Your Migration
  • Testing Your End-to-End Migration
  • Perform Your Migration
The following are items that determine the length of your migration: total amount of data being migrated, amount and size of LOB data, size of the largest tables, total number of objects being migrated, secondary indexes created on the target before the migration, resources available on the source system, resources available on the target system, resources available on the replication server, network throughput, and so on.
No Database Migration Service does not store customer data.