JDBC-ODBC Bridge Connector for Azure Data Factory (Pipeline) In this article you will learn how to integrate JDBC-ODBC Bridge data in Azure Data Factory (Pipeline) without coding in just a few clicks (live / bi-directional connection to JDBC-ODBC Bridge). JDBC-ODBC Bridge driver can be used to consume data from any JDBC Driver in non JAVA apps (i.e. Excel, Power BI, C#). Many apps written in C++ or .net (e.g. Excel, Power BI, Informatica) which don’t have direct support for using JAVA based JDBC driver technology.. Using JDBC-ODBC Bridge Connector you will be able to connect, read, and write data from within Azure Data Factory (Pipeline). Follow the steps below to see how we would accomplish that. Download Documentation The driver mentioned above is part of ODBC PowerPack which is a collection of high-performance Drivers for various API data source (i.e. REST API, JSON, XML, CSV, Amazon S3 and many more). Using familiar SQL query language you can make live connections and read/write data from API sources or JSON / XML / CSV Files inside SQL Server (T-SQL) or your favorite Reporting (i.e. Power BI, Tableau, Qlik, SSRS, MicroStrategy, Excel, MS Access), ETL Tools (i.e. Informatica, Talend, Pentaho, SSIS). You can also call our drivers from programming languages such as JAVA, C#, Python, PowerShell etc. If you are new to ODBC and ZappySys ODBC PowerPack then check the following links to get started. ODBC PowerPack - System Requirements and Installation Getting Started - Using ODBC PowerPack ODBC API Driver Help File

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

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

Step-by-step instructions

To get data from JDBC-ODBC Bridge using Azure Data Factory (Pipeline) we first need to create a DSN (Data Source) which will access data from JDBC-ODBC Bridge. We will later be able to read data using Azure Data Factory (Pipeline). Perform these steps:

1. Install ZappySys ODBC PowerPack.

2. Open ODBC Data Sources (x64):
   

3. Create a System Data Source (System DSN) based on ZappySys JDBC Bridge Driver

   ZappySys JDBC Bridge Driver

   
   You should create a System DSN (instead of a User DSN) if the client application is launched under a Windows System Account, e.g. as a Windows Service. If the client application is 32-bit (x86) running with a System DSN, use ODBC Data Sources (32-bit) instead of the 64-bit version. Furthermore, a User DSN may be created instead, but then you will not be able to use the connection from Windows Services(or any application running under a Windows System Account).

4. Now, we need JDBC Bridge Connection. Lets create it. When you see DSN Config Editor with zappysys logo first thing you need to do is change default DSN Name at the top and Configure JDBC Bridge Driver. Enter Credentials (In this Example We have used PostgreSQL Credentials) and then Click on Test Connection to verify your credentials.

   Note: Enter suitable JDBC Driver Credentials, You can read data from any JDBC Driver
   

5. This example shows how to write simple SOQL query (JDBC Bridge Object Query Language). It uses WHERE clause. For more SOQL Queries click here.
   SOQL is similar to database SQL query language but much simpler and many features you use in database query may not be supported in SOQL (Such as JOIN clause not supported). But you can use following Queries for Insert, Update, Delete and Upsert(Update or Insert record if not found).

   SELECT orderid, customerid, orderdate, orderamount FROM "public"."zappysys"
   

6. Click OK to finish creating the data source

Video instructions

Read data in Azure Data Factory (ADF) from ODBC datasource (JDBC-ODBC Bridge)

1. To start press New button:

   

2. Select "Azure, Self-Hosted" option:

   

3. Select "Self-Hosted" option:

   

4. Set a name, we will use "OnPremisesRuntime":

   

5. Download and install Microsoft Integration Runtime.

6. Launch Integration Runtime and copy/paste Authentication Key from Integration Runtime configuration in Azure Portal:

   

7. After finishing registering the Integration Runtime node, you should see a similar view:

   

8. Go back to Azure Portal and finish adding new Integration Runtime. You should see it was successfully added:

   

9. Go to Linked services section and create a new Linked service based on ODBC:

   

10. Select "ODBC" service:

    

11. Configure new ODBC service. Use the same DSN name we used in the previous step and copy it to Connection string box:

    JdbC-OdbcBridgeDSN

    DSN=JdbC-OdbcBridgeDSN

    

12. For created ODBC service create ODBC-based dataset:

    

13. Go to your pipeline and add Copy data connector into the flow. In Source section use OdbcDataset we created as a source dataset:

    

14. Then go to Sink section and select a destination/sink dataset. In this example we use precreated AzureBlobStorageDataset which saves data into an Azure Blob:

    

15. Finally, run the pipeline and see data being transferred from OdbcDataset to your destination dataset:

    

Conclusion

In this article we discussed how to connect to JDBC-ODBC Bridge in Azure Data Factory (Pipeline) and integrate data without any coding. Click here to Download JDBC-ODBC Bridge Connector for Azure Data Factory (Pipeline) and try yourself see how easy it is. If you still have any question(s) then ask here or simply click on live chat icon below and ask our expert (see bottom-right corner of this page).

Download JDBC-ODBC Bridge Connector for Azure Data Factory (Pipeline) Documentation 

More integrations

Other application integration scenarios for JDBC-ODBC Bridge

SSIS

SQL Server

Power BI

SSRS

Informatica

MS Access

MS Excel

SSAS

C#

Python

JAVA

Tableau

SAP Crystal Reports

Azure Data Factory (SSIS)

Talend Studio

UiPath

PowerShell

ODBC

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Amazon Ads

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Amazon Selling Partner (SP-API)

Asana

Azure DevOps

Cosmos DB

DropBox

ElasticSearch

FastSpring

Google BigQuery

Google Calendar

Google Drive

Google Sheets

Hubspot

Jira

Mailchimp

ManagedEngine ServiceDesk Plus (Zoho)

Nativo

OData

OneDrive

Outlook Mail (Office 365)

Power BI

ServiceNow

SharePoint Online

Shopify

Smartsheet

Stripe

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

Download JDBC-ODBC Bridge Connector for Azure Data Factory (Pipeline) Documentation

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