MySQL database instance
Use Google database migration service to migrate particular MySQL databases.
You may wish to migrate all or a portion of the data from your source instance when moving to Cloud SQL, their fully managed relational database service for MySQL, PostgreSQL, and SQL Server.
All tables from all databases and schemas can be easily moved with the help of Google Database Migration Service (DMS). It can be challenging to understand how to use the tool to migrate only specific databases or tables, though.
MySQL instance
Help go over how to migrate a selection of databases and tables from many possible sources in this blog, such as on-premises MySQL, Cloud SQL for MySQL, and Amazon RDS for MySQL. The source MySQL instance of each of the MySQL instances in this example has numerous databases configured. You must have enabled binary logs on your source instance in order to proceed with this step. They will demonstrate how to move each of the following:
- On-premises MySQL, includes instances with or without GTID enabled.
- MySQL on Cloud SQL with GTID enabled.
- MySQL on AWS RDS with GTID enabled.
- An instance of Cloud SQL for MySQL will be the goal. Let’s examine each kind of migration in more detail.
Cloud database migration service
- Make cloud migrations easier.
- Currently available for Oracle, SQL Server, PostgreSQL and MySQL databases.
- Switch from on-premises, Google Cloud, or other clouds to open source databases in the cloud.Continuously replicate data to reduce downtime during migrations.
- Convert your schema and code seamlessly with the help of AI.
- Serverless and simple to configure.
Google Database Migration Service Advantages
Migration made simpler
With an integrated, Gemini-assisted conversion and migration experience, you can begin migrating in a matter of clicks. Less complicated migrations allow you to take use of the cloud’s advantages sooner.
Very little downtime
Savour a completely managed service that migrates your database with the least amount of downtime possible. Serverless migrations can take an initial snapshot and then replicate data continuously, and they are quite performant at scale.
Accelerated access to AlloyDB and Cloud SQL
Gain access to the enterprise availability, stability, and security of AlloyDB for PostgreSQL and the open, standards-based Cloud SQL services.
Important characteristics
Simple to employ
You can migrate MySQL, PostgreSQL, SQL Server, and Oracle databases with the help of a guided experience that includes built-in, customized source configuration information, schema and code conversion, and the establishment of several secure networking connectivity choices. For extremely accurate and high-fidelity migrations, Google database migration service makes use of native replication capabilities. To guarantee the success of the migration, a validation can be performed prior to the migration.
Google Database Migration Service’s Gemini
With AI-powered support, database migration may be completed more quickly and easily. You can examine and convert database-resident code, such as stored procedures, triggers, and functions, to a dialect that is compatible with PostgreSQL using Gemini in DMS preview. Exploitability allows a side-by-side comparison of dialects, coupled with a thorough explanation of code and advice, to help upskill and retrain SQL developers.
Conversion and migration combined
Move your outdated Oracle workloads to PostgreSQL to modernize them. Heterogeneous migrations require less manual labour thanks to an integrated conversion workspace, and the Gemini-assisted conversion process walks you through the schema and code conversion procedure while highlighting any conversion errors for your inspection. For Oracle to Cloud SQL and AlloyDB migrations, the conversion workspace is accessible.
A Serverless Encounter
Remove the database migration’s operational responsibilities. For high-performance, continuous data replication at scale, auto-scaling assures that there are no migration servers to provision, manage, or monitor. From the first snapshot of the source database to the ongoing replication of changes, the entire process is completed with the least amount of downtime.
Safe by design
You may relax knowing that your data is safe during the transfer. Google database migration service offers a variety of private, secure connecting options to safeguard your data while it’s being transferred. All data is encrypted by default after it has been moved, and Google Cloud databases offer several security levels to satisfy even the strictest specifications.
Database migration service
Google database migration service is provided free of charge for homogeneous migrations, or migrations in which the source and destination databases use the same database engine. This involves moving sources like MySQL, PostgreSQL, and SQL Server to destinations like Cloud SQL and AlloyDB.
On a per-migration job basis, heterogeneous migrations between various database engines are paid in increments of one byte. Based on raw (uncompressed) data, bytes are counted.
Database Migration Services Pricing
The cost of the Google database migration service is detailed on this page. See the Pricing documentation to view the prices for additional goods. The pricing shown in your currency on Google Cloud SKUs are applicable if you want to pay in a currency other than USD.
Database for pricing summary The two possible migration types have varying prices for Migration Services:
- Use cases referred to as homogenous, in which the source and destination databases are the same.
- applications with heterogeneous engines those in which the source and destination engines differ.
Database migration services
Google database migration service is provided free of charge for native migrations to Cloud SQL or AlloyDB for PostgreSQL in homogeneous use cases:
The cost of heterogeneous migrations is determined by the gigabytes (GBs) that are processed. The first 50 GB of backfill each month are free, however usage is invoiced in byte increments on a per-migration operation basis and expressed in GB (500 MB is 0.5 GB, for example). Based on uncompressed, raw data, bytes are counted.
