JDBC-ODBC Bridge Connector for Azure Data Factory (Pipeline) In this article you will learn how to quickly and efficiently integrate JDBC-ODBC Bridge data in Azure Data Factory (Pipeline) without coding. We will use high-performance JDBC-ODBC Bridge Connector to easily connect to JDBC-ODBC Bridge and then access the data inside Azure Data Factory (Pipeline). 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. Let's follow the steps below to see how we can accomplish that! Download Documentation JDBC-ODBC Bridge Connector for Azure Data Factory (Pipeline) is based on ZappySys JDBC Bridge 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 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

Prerequisites

Before we begin, make sure you meet the following prerequisite:

• Java 8 Runtime Environment (JRE) installed. It is recommended to use these distributions:

  • Amazon Corretto 8
  • Oracle JRE 8

Download your Java application JDBC driver

To connect to your Java application in Azure Data Factory (Pipeline), you will have to download JDBC driver for it, which we will use in later steps. Let's perform these two little steps right away:

1. Visit Maven Repository portal, which is a central location for downloading Java libraries.
2. Download your Java application JDBC driver matching your running instance version and save it locally, e.g. to D:\Drivers\JDBC\app-jdbc.jar.
3. Done! That was easy, wasn't it? Let's proceed to the next step.

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 User data source (User DSN) based on ZappySys JDBC Bridge Driver

   ZappySys JDBC Bridge 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.
   Azure Data Factory (Pipeline) 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. Now, we need to configure the JDBC connection in the new ODBC data source. Simply enter the Connection string, credentials, configure other settings, and then click Test Connection button to test the connection:

   JdbcOdbcBridgeDSN

   jdbc:exampleApp://app-service-host-name.com:1234

   com.provider.exampleApp.jdbc.AppDriver

   D:\Drivers\JDBC\app-jdbc.jar

   admin

   *************

   [{"Name":"AppParameter","Value":"12345"}]

   
   ZappySys JDBC Bridge Driver allows you to connect to any Java application that supports JDBC.

5. You should see a message saying that connection test is successful:

   

6. We are at the point where we can preview a SQL query. For more SQL query examples visit JDBC Bridge documentation:

   JdbcOdbcBridgeDSN

   SELECT * FROM orders

   

   SELECT * FROM orders

   You can also click on the <Select Table> dropdown and select a table from the list.

   The ZappySys JDBC Bridge Driver acts as a transparent intermediary, passing SQL queries directly to the Trino JDBC driver, which then handles the query execution. This means the Bridge Driver simply relays the SQL query without altering it.

   Some JDBC drivers don't support INSERT/UPDATE/DELETE statements, so you may get an error saying "action is not supported" or a similar one. Please, be aware, this is not the limitation of ZappySys JDBC Bridge Driver, but is a limitation of the specific JDBC driver you are using.

7. 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:

    JdbcOdbcBridgeDSN

    DSN=JdbcOdbcBridgeDSN

    

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 showed you how to connect to JDBC-ODBC Bridge in Azure Data Factory (Pipeline) and integrate data without any coding, saving you time and effort. We encourage you to download JDBC-ODBC Bridge Connector for Azure Data Factory (Pipeline) 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 JDBC-ODBC Bridge Connector for Azure Data Factory (Pipeline) Documentation

More integrations

Other connectors for Azure Data Factory (Pipeline)

Amazon Ads

Amazon Selling Partner (SP-API)

Asana

Azure DevOps

Cosmos DB

DropBox

ElasticSearch

FastSpring

Google Ads

Google BigQuery

Google Calendar

Google Drive

Google Sheets

Hubspot

Jira

Mailchimp

ManagedEngine ServiceDesk Plus (Zoho)

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

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

Common Searches: