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Moving/syncing data from Pervasive SQL to MS SQL

I'm starting with the development of a .NET application and find that a ODBC connection to Pervasive SQL is too slow specially when I run too many Iif statements. When I run the same queries in VS with MS SQL it performs much faster

What I'm doing is develop the .NET app together with MS SQL now

Now I need a tool to sync data from PSQL to MS SQL potentially on a schedule.

I'm just learning MS SQL. Does MS SQL have a native feature for this to say sync tables or what other tools are out there for this?
2 Solutions
I am fairly sure you can use the sql server import wizard to migrate from pervasive to SQL Server.  I have also known several people to go to flat file first, and then to sql server, because of psql datatypes.  

Take a look at the SSIS import wizard.  You can put it together here, and then schedule it to re-run, as needed.
Bill BachPresidentCommented:
I, too, recommend doing a full pull of all of the data records that you need via SSIS, as this is cheap, easy, and fairly quick to run.  However, if you have a *really* large data set and need another option to only replicate changes, then the GSSync tool may be helpful:
However, note that this is NOT a stand-alone solution.  For very large databases, it requires additional metadata that the Pervasive database doesn't track itself.  This means that you either need to manually manage metadata through GSSync (which can be slow) or add Pervasive DataExchange to the mix for tracking metadata, and this increases the admin requirements even further.

Again, I stand by dbaSQL's recommendation of a full pull as the BEST solution.
You can also create a Linked Server in MS SQL to the Pervasive SQL tool to facilitate the pulling down of data.  You can write a script and schedule it using SQL task scheduler.


GerhardpetAuthor Commented:
I think I just spoke to you on the phone Bill...connecting the dots...

Thank you for your advice and I will be in touch!
GerhardpetAuthor Commented:
I'm now using the staging method in SSIS and it works great
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