Best way to transfer data between servers

  • We are playing with a SQL Azure database that we would like to sync with a local server. We have created a last updated time stamp column in azure that gets updated via triggers.

    I would like to insert into localdb, where azuredb timestamp > max timestamp in localdb.

    Azure doesn't seem to support linked servers. What is my best option for transferring these rows from azure to a local server? I would like to find a way to automate the function via a .NET app so that it can scale (Opposed to creating new tasks in a SSIS package every time I add a table)

  • robin-519709 (5/27/2010)


    We are playing with a SQL Azure database that we would like to sync with a local server. We have created a last updated time stamp column in azure that gets updated via triggers.

    I would like to insert into localdb, where azuredb timestamp > max timestamp in localdb.

    Azure doesn't seem to support linked servers. What is my best option for transferring these rows from azure to a local server? I would like to find a way to automate the function via a .NET app so that it can scale (Opposed to creating new tasks in a SSIS package every time I add a table)

    Due to opperation characteristics of Azure is not possible make a linked server, however you can try to use a mirroring schema. Usually this can work with SQL Server servers, I don't know if Azure have some restiction about it.

    Regards

  • By "mirroring schema" do you mean SQL replication? I know that is not supported.

  • No, mirroring databases is a schema a litle different of Replication, but I need to review my notes.

  • Hi, you need review the information about sync process at http://www.microsoft.com/windowsazure/developers/sqlazure/datasync/ this microsoft site can help to sync data betwen SQL Server and SQL Azure.

    I hope this can help

    Regards

  • Thanks for the suggestion, We had tried the tool out initially, but had some reliability issues with it. Most posts I've seen say it doesn't handle large amounts of data very well.

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