Copy (ELT) Google Cloud SQL for SQL Server data to Amazon Aurora in a few clicks and keep it up to date automatically.
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If needed, configure replication settings — exclude certain columns, change table naming, apply data hashing, add filters for data.
Configure scheduling and run replication every month, week or day, at specific time or recurrently at any interval, up to once per minute.
View all the integration runs for any period, get email notifications and detailed per-record error logs in case of errors to help you be aware of the situation.
Skyvia's Replication is an easy-to-use ELT tool that lets you set up Google Cloud SQL for SQL Server replication to Amazon Aurora in several minutes. It allows you to copy Google Cloud SQL for SQL Server data to Amazon Aurora and keep the copy up to date.
You don’t need to prepare the Amazon Aurora database — Skyvia creates the tables, corresponding to the Google Cloud SQL for SQL Server tables, in the data warehouse automatically. Besides, it can automatically modify target Amazon Aurora tables according to new columns added in Google Cloud SQL for SQL Server.
With Skyvia you can extract and load all the data from a Google Cloud SQL for SQL Server table or disable loading for some Google Cloud SQL for SQL Server columns. You can also configure filters for data to replicate.
Skyvia allows you to hash sensitive data, like names and emails. You can conceal personally identifiable information for better compliance and preserve analytical value of replicated data at the same time.
Skyvia can keep your Amazon Aurora database up-to-date with Google Cloud SQL for SQL Server automatically. For SQL Server, it supports true CDC via Write-Ahead Log. Skyvia also can detect changes using timestamp or autoincrement columns. If table does not have such columns, you can do full resync every time or on demand.
History mode allows you to store all versions of Google Cloud SQL for SQL Server records in your Amazon Aurora database instead of keeping only the current versions. You can select the mode for each table separately.
By default, target tables are named in the same way as in the source. Skyvia offers settings that allow you to change target table names — for all Google Cloud SQL for SQL Server tables in the integration or for each one separately. This is especially useful if you load several Google Cloud SQL for SQL Server instances into the same Amazon Aurora database, and want to use separate tables for them.
Skyvia combines a high-performance optimized batch data loading into Amazon Aurora with a granular, per-record data insertion and error logging in case of any errors.
If you need more than just to copy data from Google Cloud SQL for SQL Server to Amazon Aurora, you may use Skyvia's powerful ETL functionality for Google Cloud SQL for SQL Server and Amazon Aurora integration. Skyvia's Import tool will correctly extract Google Cloud SQL for SQL Server data, transform it, and load to Amazon Aurora when Amazon Aurora tables have different structure than Google Cloud SQL for SQL Server objects. Moreover, Skyvia Import allows loading data in any direction, supporting Reverse ETL scenario.
For more complex cases, you can use Data Flow and Control Flow tools. They are designer-based solutions for creating complex data pipelines, involving not only Google Cloud SQL for SQL Server and Amazon Aurora connectors, but any number of connectors in one integration. With these tools you can automate data workflows, involving custom logic, complex multistage transformations, combine data from different sources, load them into multiple destinations at once and many more.
Use flexible scheduling settings to automate replication
You can find detailed logs for each execution in the package Run History.
Enable email notifications and always know if anything goes wrong.
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Integrate Google Cloud SQL for SQL Server and Amazon Aurora data with minimal effort with Skyvia.
