JDBC-ODBC Bridge Connector for Python In this article you will learn how to integrate JDBC-ODBC Bridge data in Python (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 Python. 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 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 (Pipeline) 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 Python 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 Python. 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

   
   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.

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 Python

Using ODBC DSN

1. Python code to get the data:
   

   JdbcOdbcBridgeDSN')

   

2. When you run the code it will make the API call and read the data:
   

3. Here is Python program's code in text format:

   
       import pyodbc
       conn = pyodbc.connect('DSN=JdbcOdbcBridgeDSN')
   
       cursor = conn.cursor()
   
       #execute query to fetch data from API service
       cursor.execute("SELECT id,title FROM products")
   
       row = cursor.fetchone()
       while row:
           print(row)
           row = cursor.fetchone()
   
       ##For loop example
       #for row in cursor:
       #    print(row)
   

Using a full ODBC connection string

If you want to avoid being dependent on a DSN and creating multiple DSNs for each platform (x86, x64), then you can use a fully qualified connection string. Simply go to your DSN and copy the Connection String:

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

   ZappySys JDBC Bridge Driver - 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.

   JdbcOdbcBridgeDSN

   
2. The window opens, telling us the connection string was successfully copied to the clipboard:

3. Then in your Python code use Connection String when initializing OdbcConnection object, for example:

   conn = pyodbc.connect('DRIVER={ZappySys JDBC Bridge Driver};ServiceUrl=https://yourservices.provider.com/api/xxxx....;AuthName=Http;')

How to install `pyodbc` in the Python?

Conclusion

In this article we discussed how to connect to JDBC-ODBC Bridge in Python and integrate data without any coding. Click here to Download JDBC-ODBC Bridge Connector for Python 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 Python Documentation 

More integrations

Other application integration scenarios for JDBC-ODBC Bridge

SSIS

SQL Server

Power BI

SSRS

Informatica

MS Access

MS Excel

SSAS

C#

JAVA

Tableau

SAP Crystal Reports

Azure Data Factory (Pipeline)

Azure Data Factory (SSIS)

Talend Studio

UiPath

PowerShell

ODBC

Other connectors for Python

Amazon Ads

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)

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 Python Documentation

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