Cosmos DB Connector for Power BI Connect to your Azure Cosmos DB databases to read, query, create, update, and delete documents and more! In this article you will learn how to quickly and efficiently integrate Cosmos DB data in Power BI without coding. We will use high-performance Cosmos DB Connector to easily connect to Cosmos DB and then access the data inside Power BI. Let's follow the steps below to see how we can accomplish that! Download Documentation Cosmos DB Connector for Power BI is based on ZappySys API Driver which is part of ODBC PowerPack. It is a collection of high-performance ODBC drivers that enable you to integrate data in SQL Server, SSIS, a programming language, or any other ODBC-compatible application. ODBC PowerPack supports various file formats, sources and destinations, including REST/SOAP API, SFTP/FTP, storage services, and plain files, to mention a few.

Connect to Cosmos DB in other apps Connect to Cosmos DB in SSIS Connect to Cosmos DB in SQL Server Connect to Cosmos DB in SSRS Connect to Cosmos DB in Informatica Connect to Cosmos DB in MS Access Connect to Cosmos DB in MS Excel Connect to Cosmos DB in SSAS Connect to Cosmos DB in C# Connect to Cosmos DB in Python Connect to Cosmos DB in JAVA Connect to Cosmos DB in Tableau Connect to Cosmos DB in SAP Crystal Reports Connect to Cosmos DB in Azure Data Factory (Pipeline) Connect to Cosmos DB in Azure Data Factory (SSIS) Connect to Cosmos DB in Talend Studio Connect to Cosmos DB in UiPath Connect to Cosmos DB in PowerShell Connect to Cosmos DB in ODBC

Video Tutorial - Integrate Cosmos DB data in Power BI

This video covers the following topics and more, so please watch carefully. After watching the video, follow the steps outlined in this article:

• How to download and install the required PowerPack for Cosmos DB integration in Power BI
• How to configure the connection for Cosmos DB
• Features of the ZappySys API Driver (Authentication / Query Language / Examples / Driver UI)
• How to use the Cosmos DB in Power BI

Create ODBC Data Source (DSN) based on ZappySys API Driver

Step-by-step instructions

To get data from Cosmos DB using Power BI we first need to create a DSN (Data Source) which will access data from Cosmos DB. We will later be able to read data using Power BI. Perform these steps:

1. Download and install ODBC PowerPack.

2. Open ODBC Data Sources (x64):

   

3. Create a User data source (User DSN) based on ZappySys API Driver

   ZappySys API Driver

   
   • Create and use User DSN if the client application is run under a User Account. This is an ideal option in design-time, when developing a solution, e.g. in Visual Studio 2019. Use it for both type of applications - 64-bit and 32-bit.
   • Create and use System DSN if the client application is launched under a System Account, e.g. as a Windows Service. Usually, this is an ideal option to use in a production environment. Use ODBC Data Source Administrator (32-bit), instead of 64-bit version, if Windows Service is a 32-bit application.
   Power BI uses a Service Account, when a solution is deployed to production environment, therefore for production environment you have to create and use a System DSN.

4. When the Configuration window appears give your data source a name if you haven't done that already, then select "Cosmos DB" from the list of Popular Connectors. If "Cosmos DB" is not present in the list, then click "Search Online" and download it. Then set the path to the location where you downloaded it. Finally, click Continue >> to proceed with configuring the DSN:

   CosmosDbDSN

   Cosmos DB

   

5. Now it's time to configure the Connection Manager. Select Authentication Type, e.g. Token Authentication. Then select API Base URL (in most cases, the default one is the right one). More info is available in the Authentication section.

    API Key [Http]

   Steps how to get and use Cosmos DB credentials : API Key [Http]
   Connecting to your Azure Cosmos DB data requires you to authenticate your REST API access. Follow the instructions below:

   1. Go to your Azure portal homepage: https://portal.azure.com/.
   2. In the search bar at the top of the homepage, enter Azure Cosmos DB. In the dropdown that appears, select Azure Cosmos DB.
   3. Click on the name of the database account you want to connect to (also copy and paste the name of the database account for later use).
   4. On the next page where you can see all of the database account information, look along the left side and select Keys:
   5. On the Keys page, you will have two tabs: Read-write Keys and Read-only Keys. If you are going to write data to your database, you need to remain on the Read-write Keys tab. If you are only going to read data from your database, you should select the Read-only Keys tab.
   6. On the Keys page, copy the PRIMARY KEY value and paste it somewhere for later use (the SECONDARY KEY value may also be copied and used).
   7. Now go to SSIS package or ODBC data source and use this PRIMARY KEY in API Key authentication configuration.
   8. Enter the primary or secondary key you recorded in step 6 into the Primary or Secondary Key field.
   9. Then enter the database account you recorded in step 3 into the Database Account field.
   10. Next, enter or select the default database you want to connect to using the Defualt Database field.
   11. Continue by entering or selecting the default table (i.e. container/collection) you want to connect to using the Default Table (Container/Collection) field.
   12. Select the Test Connection button at the bottom of the window to verify proper connectivity with your Azure Devops account.
   13. If the connection test succeeds, select OK.
   14. Done! Now you are ready to use Asana Connector!

   Fill in all required parameters and set optional parameters if needed:

   CosmosDbDSN

   Cosmos DB

   API Key [Http]

   https://[$Account$].documents.azure.com

   Required Parameters
   Primary or Secondary Key	Fill-in the parameter...
   Account Name (Case-Sensitive)	Fill-in the parameter...
   Database Name (keep blank to use default) Case-Sensitive	Fill-in the parameter...
   API Version	Fill-in the parameter...
   Optional Parameters
   Default Table (needed to invoke #DirectSQL)

   

6. Once the data source connection has been configured, it's time to configure the SQL query. Select the Preview tab and then click Query Builder button to configure the SQL query:

   

   ZappySys API Driver - Cosmos DB

   Connect to your Azure Cosmos DB databases to read, query, create, update, and delete documents and more!

   CosmosDbDSN

   

7. Start by selecting the Table or Endpoint you are interested in and then configure the parameters. This will generate a query that we will use in Power BI to retrieve data from Cosmos DB. Hit OK button to use this query in the next step.

   #DirectSQL SELECT * FROM root where root.id !=null order by root._ts desc

   
   Some parameters configured in this window will be passed to the Cosmos DB API, e.g. filtering parameters. It means that filtering will be done on the server side (instead of the client side), enabling you to get only the meaningful data much faster.

8. Now hit Preview Data button to preview the data using the generated SQL query. If you are satisfied with the result, use this query in Power BI:

   

   ZappySys API Driver - Cosmos DB

   Connect to your Azure Cosmos DB databases to read, query, create, update, and delete documents and more!

   CosmosDbDSN

   #DirectSQL SELECT * FROM root where root.id !=null order by root._ts desc

   
   You can also access data quickly from the tables dropdown by selecting <Select table>.
   A WHERE clause, LIMIT keyword will be performed on the client side, meaning that the whole result set will be retrieved from the Cosmos DB API first, and only then the filtering will be applied to the data. If possible, it is recommended to use parameters in Query Builder to filter the data on the server side (in Cosmos DB servers).

9. Click OK to finish creating the data source.

Video Tutorial

Read Cosmos DB data in Power BI using ODBC

Importing Cosmos DB data into Power BI from table or view

1. Once you open Power BI Desktop click Get Data to get data from ODBC:
   

2. A window opens, and then search for "odbc" to get data from ODBC data source:
   

3. Another window opens and asks to select a Data Source we already created. Choose CosmosDbDSN and continue:

   CosmosDbDSN

   

4. Most likely, you will be asked to authenticate to a newly created DSN. Just select Windows authentication option together with Use my current credentials option:

   CosmosDbDSN

   

5. Finally, you will be asked to select a table or view to get data from. Select one and load the data!
   

6. Finally, finally, use extracted data from Cosmos DB in a Power BI report:
   

Importing Cosmos DB data into Power BI using SQL query

If you wish to import Cosmos DB data from SQL query rather than a table then you can use advanced options during import steps (as below). After selecting DSN you can click on advanced options to see SQL Query editor.

CosmosDbDSN

#DirectSQL SELECT * FROM root where root.id !=null order by root._ts desc

Using a full ODBC connection string

In the previous steps we used a very short format of ODBC connection string - a DSN. Yet sometimes you don't want a dependency on an ODBC data source (and an extra step). In those times, you can define a full connection string and skip creating an ODBC data source entirely. Let's see below how to accomplish that in the below steps:

1. Open ODBC data source configuration and click Copy settings:
   

   ZappySys API Driver - Configuration [Version: 2.0.1.10418]

   ZappySys API Driver - Cosmos DB

   Connect to your Azure Cosmos DB databases to read, query, create, update, and delete documents and more!

   CosmosDbDSN

   
2. The window opens, telling us the connection string was successfully copied to the clipboard:
3. Then just paste the connection string into your script:
   CosmosDbDSN

   DRIVER={ZappySys API Driver};ServiceUrl=https://[$Account$].documents.azure.com;CredentialType=HashSignature;HashSignatureFormat=[$http-method$]-lc[$lf$][$url-part-regex-(/(?<resourcetype>dbs|colls|docs|users|permissions|sprocs|attachments|pkranges)(/([\w\d-\$\.=])+)?$){{0,resourcetype}}$]-lc[$lf$][$url-part-regex-(?<id>dbs/([\w \d-+=.]+)$)|((?<id>dbs/(.*?))/(colls|docs|users|attachments|permissions||pkranges)$)|(?<id>dbs/(.*)/(colls|docs|users|attachments|permissions)/[\w \d-+.=]+$){{0,id}}$][$lf$][$timestamp$]-lc[$lf$][$lf$];ExtraHeaders=x-ms-date: [$timestamp$]||x-ms-version: [$ApiVersion$]||Authorization:type%3dmaster%26ver%3d1.0%26sig%3d[$signature$]-enc;HashTimestampFormat=r;

   
4. You are good to go! The script will execute the same way as using a DSN.

Limitations of using a full connection string

Despite using a full ODBC connection string may be very convenient it comes with a limitation: it's length is limited to 1024 symbols (or sometimes more). It usually happens when API provider generates a very long Refresh Token when OAuth is at play. If you are using such a long ODBC connection string, you may get this error:

"Connection string exceeds maximum allowed length of 1024"

But there is a solution to this by storing the full connection string in a file. Follow the steps below to achieve this:

1. Open your ODBC data source.
2. Click Copy settings button to copy a full connection string (see the previous section on how to accomplish that).
3. Then create a new file, let's say, in C:\temp\odbc-connection-string.txt.
4. Continue by pasting the copied connection string into a newly created file and save it.
5. Finally, the last step! Just construct a shorter ODBC connection string using this format:

   DRIVER={ZappySys API Driver};SettingsFile=C:\temp\odbc-connection-string.txt

6. Our troubles are over! Now you should be able to use this connection string in Power BI with no problems.

Editing query for table in Power BI

There will be a time you need to change the initial query after importing data into Power BI. Don't worry, just right-click on your table and click Edit query menu item:

Using parameters in Power BI (dynamic query)

In the real world, many values of your REST / SOAP API call may be coming from parameters. If that's the case for you can try to edit script manually as below. In below example its calling SQL Query with POST method and passing some parameters. Notice below where paraAPIKey is Power BI Parameter (string type). You can use parameters anywhere in your script just like the normal variable.

To use a parameter in Power BI report, follow these simple steps:

1. Firstly, you need to Edit query of your table (see previous section)

2. Then just create a new parameter by clicking Manage Parameters dropdown, click New Parameter option, and use it in the query:

   						
                               = Odbc.Query("dsn=CosmosDbDSN",
                                            "SELECT ProductID, ProductName, UnitPrice, UnitsInStock
                                             FROM Products
                                             WHERE UnitPrice > " & Text.From(MyParameter) & "
                                             ORDER BY UnitPrice")
                           
                   

   
   Refer to Power Query M reference for more information on how to use its advanced features in your queries.

Using DirectQuery Option rather than Import

So far we have seen how to Import Cosmos DB data into Power BI, but what if you have too much data and you don't want to import but link it. Power BI Offers very useful feature for this scenario. It's called DirectQuery Option. In this section we will explore how to use DirectQuery along with ZappySys Drivers.

Out of the box ZappySys Drivers won't work in ODBC Connection Mode, so you have to use SQL Server Connection rather than ODBC if you wish to use Live data using DirectQuery option. See below step-by-step instructions to enable DirectQuery mode in Power BI for Cosmos DB data.

Basically we will use ZappySys Data Gateway its part of ODBC PowerPack. We will then use Linked Server in SQL Server to Link API Service, then issue OPENROWSET queries from Power BI to SQL Server, and it will then call Cosmos DB via ZappySys Data Gateway.

1. First, create a data source in ZappySys Data Gateway and create a Linked Server based on it.
2. Once SQL Server Linked Server is configured we are ready to issue a SQL query in Power BI.
3. Click Get Data in Power BI, select SQL Server Database
4. Enter your server name and any database name
5. Select Mode as DirectQuery
6. Click on Advanced and enter query like below (we are assuming you have created Cosmos DB Data Source in Data Gateway and defined linked server - change the name below).

   SELECT * FROM OPENQUERY([LS_TO_COSMOS_DB_IN_GATEWAY], '#DirectSQL SELECT * FROM root where root.id !=null order by root._ts desc')

   SELECT * FROM OPENQUERY([LS_TO_COSMOS_DB_IN_GATEWAY], '#DirectSQL SELECT * FROM root where root.id !=null order by root._ts desc')

   

   
   DirectQuery option for Power BI (Read Cosmos DB Data Example using SQL Server Linked Server and ZappySys Data Gateway)

7. Click OK and Load data... That's it. Now your Cosmos DB API data is linked rather than imported.

Publishing Power BI report to Power BI service

Here are the instructions on how to publish a Power BI report to Power BI service from Power BI Desktop application:

1. First of all, go to Power BI Desktop, open a Power BI report, and click Publish button:

   

2. Then select the Workspace you want to publish report to and hit Select button:

   

3. Finally, if everything went right, you will see a window indicating success:

   

   If you need to periodically refresh Power BI semantic model (dataset) to ensure data accuracy and up-to-dateness, you can accomplish that by using Microsoft On-premises data gateway. Proceed to the next section - Refreshing Power BI semantic model (dataset) using On-premises data gateway - and learn how to do that.

Refreshing Power BI semantic model (dataset) using On-premises data gateway

Power BI allows to refresh semantic models which are based on data sources that reside on-premises. This can be achieved using Microsoft On-premises data gateway. There are two types of On-premises gateways:

• Standard Mode
• Personal Mode

Standard Mode supports Power BI and other Microsoft Data Fabric services. It fits perfectly for Enterprise solutions as it installs as a Windows Service and also supports Direct Query feature.

Personal Mode, on the other hand, can be configured faster, but is designed more for home users (you cannot install it as a Windows Service and it does not support DirectQuery). You will find a detailed comparison in the link above.

We recommend to go with Personal Mode for a quick POC solution, but use Standard Mode in production environment.

Below you will find instructions on how to refresh semantic model using both types of gateways.

Refresh using On-premises data gateway (standard mode)

Here are the instructions on how to refresh a Power BI semantic model using On-premises data gateway (standard mode):

1. Go to Power BI My workspace, hover your mouse cursor on your semantic model and click Settings:

   

2. If you see this view, it means you have to install On-premises data gateway (standard mode):

   

3. Install On-premises data gateway (standard mode) and sign-in:

   
   Use the same email address you use when logging in into Power BI account.

4. Register a new gateway (or migrate an existing one):

   

5. If you are creating a new gateway, name your gateway, enter a Recovery key, and click Configure button:

   

6. Now, let's get back to your semantic model settings in Power BI portal. Refresh the page and you should see your newly created gateway. Click arrow icon and then click on Add to gateway link:

   ODBC{"connectionstring":"dsn=CosmosDbDSN"}

   

7. Once you do that, you will create a new gateway connection. Give it a name, set Authentication method, Privacy level, and click Create button:

   dsn=CosmosDbDSN

   
   In this example, we used the least restrictive Privacy level.

   If your connection uses a full connection string you may hit a length limitation when entering it into the field. To create the connection, you will need to shorten it manually. Check the section about the limitation of a full connection string on how to accomplish it.

   On-premises data gateway (personal mode) does not have this limitation.

8. Proceed by choosing the newly created connection:

   ODBC{"connectionstring":"dsn=CosmosDbDSN"}

   

9. Finally, you are at the final step where you can refresh the semantic model:

   

Refresh using On-premises data gateway (personal mode)

Here are the instructions on how to refresh a Power BI semantic model using On-premises data gateway (personal mode):

1. Go to Power BI My workspace, hover your mouse cursor on your semantic model and click Settings:

   

2. If you see this view, it means you have to install On-premises data gateway (personal mode):

   

3. Install On-premises data gateway (personal mode) and sign-in:

   
   Use the same email address you use when logging in into Power BI account.

4. Again, go to your semantic model Settings, expand Data source credentials, click Edit credentials, select Authentication method together with Privacy level, and then click Sign in button:

   dsn=CosmosDbDSN

   

5. Finally, you are ready to refresh your semantic model:

   

Actions supported by Cosmos DB Connector

Learn how to perform common Cosmos DB actions directly in Power BI with these how-to guides:

• Create a document in the container
• Create Permission Token for a User (One Table)
• Create User for Database
• Delete a Document by Id
• Get All Documents for a Table
• Get All Users for a Database
• Get Database Information by Id or Name
• Get Document by Id
• Get List of Databases
• Get List of Tables
• Get table information by Id or Name
• Get table partition key ranges
• Get User by Id or Name
• Query documents using Cosmos DB SQL query language
• Update Document in the Container
• Upsert a document in the container
• Generic Request
• Generic Request (Bulk Write)

Conclusion

In this article we showed you how to connect to Cosmos DB in Power BI and integrate data without any coding, saving you time and effort. It's worth noting that ZappySys API Driver allows you to connect not only to Cosmos DB, but to any Java application that supports JDBC (just use a different JDBC driver and configure it appropriately).

We encourage you to download Cosmos DB Connector for Power BI and see how easy it is to use it for yourself or your team.

If you have any questions, feel free to contact ZappySys support team. You can also open a live chat immediately by clicking on the chat icon below.

Download Cosmos DB Connector for Power BI Documentation

More integrations

Other connectors for Power BI

Amazon Ads

Amazon Athena

Amazon Selling Partner (SP-API)

Apache Derby

Apache Hive

Apache Spark

Asana

Azure DevOps

DropBox

ElasticSearch

FastSpring

Google Ads

Google BigQuery

Google Calendar

Google Drive

Google Sheets

Hubspot

Infor Data Lake

Jira

Mailchimp

ManagedEngine ServiceDesk Plus (Zoho)

MariaDB

OData

OneDrive

Outlook Mail (Office 365)

Power BI

ServiceNow

SharePoint Online

Shopify

Smartsheet

Starburst

Stripe

Trino

YouTube

Zendesk

Zoho CRM

Zoho SalesIQ

Zoom

REST API

JSON

JSON File

XML

SOAP

XML File

JDBC-ODBC Bridge

Salesforce

CSV

Amazon S3 JSON File

Amazon S3 XML File

Amazon S3 CSV File

Azure Blob JSON File

Azure Blob XML File

Azure Blob CSV File

FTP/SFTP JSON File

FTP/SFTP XML File

FTP/SFTP CSV File

Build your own Custom API Connector

Other application integration scenarios for Cosmos DB

SSIS

SQL Server

SSRS

Informatica

MS Access

MS Excel

SSAS

C#

Python

JAVA

Tableau

SAP Crystal Reports

Azure Data Factory (Pipeline)

Azure Data Factory (SSIS)

Talend Studio

UiPath

PowerShell

ODBC

Common Searches: