Exporting Power BI Data to SQL Server

Exporting Power BI Data to SQL Server

Update 2019 April: If you’re interested in exporting the data model from either Power BI Desktop or Power BI Service to CSV or SQL Server check this out. The method explained here is only applicable for Power BI Premium or Embedded capacities with XMLA endpoints connectivity.

In the previous blog posts I explained how to export Power BI data to Excel and CSV here and here. As promised in this post I explain how to export data from Power BI Desktop to SQL Server.

Hans Peter Pfister has already explained how to export data from Power BI Desktop to SQL Server using R scripts. Although Hans has done a brilliant job, it might be a bit hard to make it work if you don’t have any R experience and you don’t even know how to install and call R libraries. That’s so true about myself, I’m NOT an R guy, but, who knows, maybe I will be. Smile 

But, what if you don’t want to go with R? If you are more involved with BI than analytics, then using R might not really be your cup of tea. Luckily, there is another way to export your Power BI data to SQL Server which is more BI friendly. You can export Power BI data to SQL Server using SSIS (SQL Server Integration Services). So if you are familiar with SSIS, then it might be your your preferred choice.

With respect to Hans, in this post, I explain his method of exporting data from Power BI Desktop to SQL Server more in details so that anyone who is not that familiar with R can make it work. I also explain how to export data from Power BI Desktop to SQL Server using SSIS. If there is any other methods you’re aware of please let me know in the comment section below.

Exporting Data from Power BI Desktop to SQL Server with R

As stated before, Hans has already explained this method here. So I don’t explain exactly what he did, but, I use his method to export data from existing Power BI Desktop model to SQL Server and I explain it step-by-step.


To make this method work you need to:

  • Latest version of Power BI Desktop, you can download it from here
  • Have access to an instance of SQL Server, either on your own machine or on a server in your local network to export the data to
  • Either install R for Windows, you can download it from here OR using an existing R-Server OR install SQL Server 2016 R Services
  • Install RODBC library for R, you can download the library from here

Note: I haven’t installed R Studio and nothing went wrong.

Installing RODBC Library for R and SQL Server R Services

As mentioned earlier, you can install R OR SQL Server R Services OR R-Server, but, as I haven’t tried R-Server myself I just explain how to install RODBC in R and SQL Server R Services.

You have to download the library from the link provided above, then extract the contents of the zip file which contains a “RODBC” folder. Then all you really need to do is to copy the “RODBC” to the “library” folder exists in either R or SQL Server 2016 folders in your “Program Files” folder.

Library folder in R

Library folder in SQL Server 2016

How Does It Work?

Open an existing Power BI Desktop model that you’re willing to export its data to a SQL Server table and follow the steps below: (I use “Internet Sales” model created on top of AdventureWorksDW. You can download my Power BI Desktop model at the end of this post.)

  • Open the Power BI Desktop model
  • Click “Edit Queries”
  • Right click on any desired Table you want to export to SQL Server and click “Reference”

Duplicate a query in Power BI

  • Rename the duplicated table to “Internet Sales Export”

Query Editor in Power BI Desktop

  • Now click on “Run R Script” from “Transform” tab from the ribbon
  • Copy and paste the R script below:
conn <- odbcDriverConnect("driver=SQL Server; server=SQL_SERVER_INSTANCE; Database=SQLDB")
sqlSave(conn, dataset, tablename="TABLE_NAME",rownames=FALSE, safer=FALSE, append=TRUE)
  • Replace the highlighted parts with your object names  then click OK

Exporting Power BI Data to SQL Server with R

Note: If you have more than one SQL Server instance then you need to add an extra “\” (backslash) in the server name. The first backslash is considered as an escape character. So your script should look like the below figure.

R Script for Exporting Power BI Data to SQL Server

If everything is fine then you’ll see an empty table in Query Editor without any error messages. Now open SSMS and query the “Exported_From_PowerBI” table too see the exported data.

SQL Server Management Studio

Note: As you see in the “Run R Script” window, there is a description after the script block showing your current R home directory.

R Home Directory in Power BI Desktop

You can change it from Power BI desktop Options as below:

  • Click “File” menu
  • Click “Options and settings”
  • Click “Options”

Power BI Desktop Options

  • Click “R Scripting”
  • Select a “Detected R home directory” from the dropdown list then click OK

Changing R Home Directory in Power BI Desktop Options

Note: As you see we’re modifying the query. This is why I created a duplicate from the base query. You may want to put the R script to the base query then remove it after the data is exported to SQL Server.

Hans briefly explained the R script, so I encourage you to have a look at his post to get a better understanding of the R script. For more detailed information check this out.

I tried the above method on a bigger table containing more than 11 million rows and I should say that the performance was not too good. It took more than 15 minutes to export about 1.5 million rows which is not that impressive.

Exporting Power BI Desktop Data to SQL Server Using SSIS

In this method I connect to Power BI Desktop from SSIS to export data to SQL Server. I explained how to connect to Power BI Desktop more in details here.


  • Latest version of Power BI Desktop
  • Accessing an instance of SQL Server
  • Accessing SSIS (SQL Server Integration Services)
  • SSDT (SQL Server Data Tools), you can download it here. I use SSDT 2015

How Does It Work?

As stated before we’ll connect to a Power BI Desktop using its random local port from SSIS package then we export data from a desired table to SQL Server.

Note: Keep in mind, the random port number will change if you close your Power BI Desktop file and reopen it. Therefore, this method is a temporary solution for exporting larger amount of data from Power BI Desktop to SQL Server. 

First of all we need to find the port number of local SSAS instance created by Power BI Desktop. To learn more about Power BI Desktop port number check this out.

To quickly find the port number:

  • Navigate to the directory below:

%LocalAppData%\Microsoft\Power BI Desktop\AnalysisServicesWorkspaces

Power BI Desktop Temp Folder

  • There should be an “AnalysisServicesWorkspaceXXX” folder which XXX is a random number. Open that folder
  • Open “Data” folder
  • Find “msmdsrv.port.txt” in the folder and open it. It contains the random local SSAS instance port number used by Power BI Desktop

Finding Power BI Desktop Local Port Number in Temp Dir

Now we need to create an SSIS project in SSDT.

  • Open SSDT
  • Create a new “Integration Services” project
  • Put a “Data Flow Task” on Control Flow
  • In the data flow add an “OLEDB Source”
  • Double click OLEDB Source to open “OLEDB Source Editor”
  • Click “New” to create a new OLEDB connection manager
  • Click “New” one more time
  • Set “Provider” to: “Native OLEDB\Microsoft OLEDB Provider for Analysis Services 13.0”
  • Set “Location:” to “localhost:XXXXX” which XXXXX is your local Power BI port number
  • Select “Initial catalog” from the dropdown list
  • Click “Test Connection” to make sure the connection is successful
  • You have click OK several times to get back to “OLEDB Source Editor”

Creating SSIS Connection Manager

  • So far we created a connection manager that you can see it in the “OLEDB Source Editor”
  • You can see all tables exist in Power BI Desktop model by clicking on “Name of the table or the view” dropdown list

Browsing Power BI Desktop in SSIS

  • As you see there are a bunch of “LocalDate Table” in the model that you cannot see in Power BI Desktop. They are hidden Date tables created by Power BI Desktop automatically to support time intelligence. We are NOT going to select a table from the list as we’ll get an error message at the end.
  • Set “Data access mode” to “SQL Command” then write the following simple DAX code in the “SQL command text” box. I know, it says SQL command, but, we put DAX query. Believe me, it works Smile

Running DAX Queries in SSIS

  • Click “Columns” to see the table’s columns then click OK

OLE DB Source Editor

  • Put a “SQL Server Destination” on the data flow
  • Connect the “OLE DB Source” to “SQL Server Destination”
  • Double click “SQL Server Destination”
  • Click “New” to create a new connection manager to our SQL database
  • Click “New” again
  • Provider should be “Native OLE DB\SQL Server Native Client”
  • Enter the “Server name” that you desire to export data to
  • Select or enter the database name
  • Test connection
  • You then need to click OK several times to get back to “SQL Destination Editor”

Creating SSIS Connection Manager

  • Click “New” to create a new table to land our data
  • Looking at generated T-SQL you’ll quickly understand that the create table statement won’t work. Copy the code and paste in a text editor OR in SSMS and tidy it up. You may also want to use a meaningful name for the new table.

Creating New Table in SQL Server from SSIS

  • Copy/paste the code back to “Create Table” window then click OK

Creating New Table in SQL Server from SSIS

SQL Destination Editor

  • Click “Mappings” then map all “Input Columns” to “Destination Columns” then click OK

Mapping Columns in SQL Destination Editor

  • That’s it. You just need to run the package now

SSIS Package Run

This method works well even when exporting larger number of rows.

If you have any other ideas, feedback, etc. I’d love to know about it. So please leave your thoughts in the comment section below.

Download Power BI Desktop model used in this article

24 thoughts on “Exporting Power BI Data to SQL Server

  1. Muito bom dia!
    Achei incrível seu artigo e me ajudou muito a resolver um enorme problema.
    Gostaria de abusar um pouco mais de seus conhecimentos.
    Veja! Fiz tudo da forma como você explicou e deu tudo certo, no entanto, quando efetua a consulta no SQL Server algo acontece e, os dados são triplicados. Imagine que no exemplo que fiz, minha tabela original tinha apenas 10 linhas, mas quando faço o procedimento via Power BI, o arquivo da consulta do SQL resulta em 30 linhas.
    Muito estranho! Nunca vi isso!
    Se puder me ajudar ficarei grato.
    E novamente parabéns pelo artivo.

  2. Meu Deus!
    Tenho um novo problema!
    Veja se pode me ajudar, por favor!
    Ocorre que, os valores da coluna DATA não aparecem, mas uma mensagem “Microsoft.OleDb.Date” é repetida em todos os registros.

  3. Thank you for share your ideias.

    I have a question.

    In step five from tutorial: (Set “Location:” to “localhost:XXXXX” which XXXXX is your local Power BI port number), I don’t know where is my port number.

    Could you help me?

    1. Hi Felipe,

      Welcome to BI Insight.
      Perhaps you’re using Power BI Desktop Store edition.
      There are several ways to get the port number that I covered lots of them in this article.
      The following way will help you finding the local port number with any edition of Power BI Desktop:
      1-Open any desired PBIX file in Power BI Desktop
      2-Open Windows Task Manager
      3-Click “More details”
      4-Find “Power BI Desktop” from “Apps” list
      5-Expand “Power BI Desktop”
      6-Right click “Power BI Desktop” in the lower level and click “Go to details”
      Windows Task Manager

      7-In the “details” tab you see the PID number for your running instance of Power BI Desktop
      Windows Task Manager Details

      8-Open CMD (Command Line) and type in the following command followed by the PID number you got in the previous steps then press enter
      netstat /ano | findstr 484
      9-The highlighted part in the screenshot below is your Power BI Desktop local port number:
      Use CMD to get Power BI Desktop Port Number

      Hope that helps.


  4. Hallo Soheil, thank you for the great article.
    Could you please help how to get data to SQL from Power BI service, if model is not in local file but is published.
    The reason is, that model is periodically refreshed from many sources and we need fresh and right data get back to SQL (local or Azure).
    Thank you very much for any help.

      1. Hi Soheil:
        When you get data from PBI Service, can you get the output from DAX Measures and Calculated columns?
        Great article btw!

        1. Hi there,
          Welcome to BIInsight and thanks for your feedback.
          That’s a great question indeed.
          The answer is no. The reason is that when you connect to a dataset in Power BI Service, you’re connecting live to a model that doesn’t exist in Power BI Desktop. This is also the case when you connect Live from Power BI Desktop to an instance of SSAS.
          In the method described in this post, we are treating the Power BI Desktop as an instance of SSAS Tabular. So the principals are similar to when you connect to an SSAS instance. Which means you’d need to connect to the instance, then browse/specify the current catalog (data model).
          While the data model resides in another instance there is no catalog to specify. Therefore, you can still connect to the instance, but there is no model fire your queries against.
          Hope that helps.

  5. Hi myy family member! I want to say that this article iis awesome, great written and come with approximately all important infos.

    I’d like to peer extra posts like this .

  6. Hi Soheil,

    This article is really awesome, I’m appreciate for that. I have an question:
    We have port numbers that are given randomly by Power BI. I guess that we have different random port numbers day by day. How can we optimize connection manager for these port numbers? When we want to import data to Sql Server, we need to build a different connection manager because of random port numbers. Is there any way optimize this connection?

    Thanks from Turkey!

    Best Regards

      1. Hi,
        I need to export my PowerBI data to another computer – and with described method I have an error message “The selected data source is on remote computer. The bulk insert operation can be executed only on the computer where this data souce is located.”
        Can you help me with sollution?
        Thank you in advance Jiri h

  7. Hi

    Thanks for the great article. i managed to connect from power bi to sql server using the first method (R) – however , i get this Exception error:

    DataFormat.Error: Exception of type ‘Microsoft.Analytics.Modules.R.ErrorHandling.RException.Primitives.NotValidRDataException’ was thrown.

    would anyone know why?

    1. try a lower version of R, or try casting the variable that is breaking to a base char/varchar datatype

  8. Is their any way to load this data automatically by scheduling any job? I’m working on exporting the data using SSRS from SQL SERVER database and i can’t do this every month manually. Please do let me know

    1. Hi Sushma

      Welcome to BIInsight.com.
      If you don’t want to do this process all the time, then I suggest you have a look at this article that I explained how to export Power BI Service data back to an on-prem instance of SQL Server.


      You can schedule data refresh that automatically takes care of data movement from the Service to your on-prem instance of SQL Server.

      Hope that helps.


  9. Thanks for this article! I tried both the method via R and SSIS. The method via R was more successful for me as it at least ran ALMOST without error. The error I did have was with two fields which were date fields and although they were imported, they values only read as “Microsoft.OleDb.Date”. Wondering if you might have any suggestions for these date fields?

    But unfortunately for the SSIS method it just did not work. I was successful in setting up the initial source and destination components but again the issue was with the date fields. The execution just would not run as the date fields could not be processed by the task due to DT_DATE conversion issues. I tried to input a conversion task between the source and the destination to convert the date fields but that did not work either. Finally I did remove the two date fields and the execution task at least started: initially it was running without a hitch but then for some unknown reason it failed about 70% of the way (i.e., 30% more records were left to be imported in). SSIS is just so problematic!

    Not sure if you can advise on the date fields, will try to research on getting the R method to work without date field import errors at least…

  10. Nice Post, I am trying to import the data from a PowerBi report that was shared to me. I dont have access to their data base. The report contain multiple data sets. This method didnt work for me.

  11. Great article. Very helpful. Is the only way to connect to the Power BI Service through R Script. I’m assuming you can’t do it through your SSIS route? Trying to find the best way for auto refreshed data in Power BI to get into SQL. Thanks!

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