![]() ![]() Note the following limitations of this data migration option: SQL Server Native Client must be installed on the machine.SQL Server Management Studio (SSMS) or the bcp utility must be installed.Make sure you have the following prerequisites: It also allows you to have minimal logging operations.įor more information about Babelfish for Aurora PostgreSQL, see Using Babelfish for Aurora PostgreSQL. In addition, bcp is efficient, because the insert mechanism is optimized using a batch of rows instead of row by row. With bcp, you can quickly transfer data from one SQL Server table to Babelfish for Aurora PostgreSQL. If you’re a SQL Server developer or administrator, you’ve probably heard of the bcp utility, which is a command-line tool that allows you to import or export large amounts of data into or from a SQL Server database. In this post, we show you the details as well as the limitations of using bcp for data migrations. Using the Bulk Copy Program (bcp) utility. ![]() ![]() Generating T-SQL insert commands (generating a script via SQL Server Management Studio).For more information, refer to Migrate from SQL Server to Aurora PostgreSQL using SSIS and Babelfish. Using SQL Server Integration Services (SSIS).For more information, refer to AWS Database Migration Service now supports Babelfish for Aurora PostgreSQL as a target. Using AWS Database Migration Service (AWS DMS).When migrating from SQL Server to Babelfish for Aurora PostgreSQL, you have different options for data migration, such as the following: This means that developers can use Babelfish to run their existing SQL Server applications on Amazon Aurora PostgreSQL-Compatible Edition without having to switch database drivers or completely rewrite their queries. Babelfish for Aurora PostgreSQL includes support for the SQL Server wire-protocol and T-SQL, which is the query language used in Microsoft SQL Server. ![]()
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