OData Connector
Version: 2

OData Connector Examples

The ZappySys API Driver is a user-friendly interface designed to facilitate the seamless integration of various applications with the OData API. With its intuitive design and robust functionality, the ZappySys API Driver simplifies the process of configuring specific API endpoints to efficiently read or write data from OData.

On this page you will find some SQL examples which can be used for API ODBC Driver or Data Gateway API Connector.

Read all records from an JSON OData Service Table    [Read more...]

SELECT * FROM Customers

Read all records from an XML OData Service Table    [Read more...]

SELECT * FROM read_data_xml WITH(TableName='MyTable')

Filter records using server side criteria    [Read more...]

SELECT * FROM Customers WITH( SearchCriteria='Country -eq ''USA'' ')

Filter records using client side criteria    [Read more...]

SELECT * FROM Customers WHERE Country = 'USA'

List all Tables (JSON Based Format)    [Read more...]

SELECT * FROM list_tables_json

List all Tables (XML Based Format)    [Read more...]

SELECT * FROM list_tables_xml

Getting Started with Examples

ZappySys API Driver is a powerful software solution designed to facilitate the extraction and integration of data from a wide range of sources through APIs. Its intuitive design and extensive feature set make it an essential asset for any organization dealing with complex data integration tasks.

To get started with examples using ZappySys API Driver, please click on the following applications:

SQL Server Connect OData in SQL Server
Power BI Connect OData in Power BI
SSRS Connect OData in SSRS
Informatica Connect OData in Informatica
MS Access Connect OData in MS Access
MS Excel Connect OData in MS Excel
SSAS Connect OData in SSAS
C# Connect OData in C#
Python Connect OData in Python
JAVA Connect OData in JAVA
Tableau Connect OData in Tableau
SAP Crystal Reports Connect OData in SAP Crystal Reports
Azure Data Factory (ADF) Connect OData in Azure Data Factory (ADF)
ODBC Connect OData in ODBC

Key features of the ZappySys API Driver include:

The API ODBC driver facilitates the reading and writing of data from numerous popular online services (refer to the complete list here) using familiar SQL language without learning complexity of REST API calls. The driver allows querying nested structure and output as a flat table. You can also create your own ODBC / Data Gateway API connector file and use it with this driver.

  1. Intuitive Configuration: The interface is designed to be user-friendly, enabling users to easily set up the specific API endpoints within OData without requiring extensive technical expertise or programming knowledge.

  2. Customizable Endpoint Setup: Users can conveniently configure the API endpoint settings, including the HTTP request method, endpoint URL, and any necessary parameters, to precisely target the desired data within OData.

  3. Data Manipulation Capabilities: The ZappySys API Driver allows for seamless data retrieval and writing, enabling users to fetch data from OData and perform various data manipulation operations as needed, all through an intuitive and straightforward interface.

  4. Secure Authentication Integration: The driver provides secure authentication integration, allowing users to securely connect to the OData API by inputting the necessary authentication credentials, such as API tokens or other authentication keys.

  5. Error Handling Support: The interface is equipped with comprehensive error handling support, ensuring that any errors or exceptions encountered during the data retrieval or writing process are efficiently managed and appropriately communicated to users for prompt resolution.

  6. Data Visualization and Reporting: The ZappySys API Driver facilitates the seamless processing and presentation of the retrieved data from OData, enabling users to generate comprehensive reports and visualizations for further analysis and decision-making purposes.

Overall, the ZappySys API Driver serves as a powerful tool for streamlining the integration of applications with OData, providing users with a convenient and efficient way to access and manage data, all through a user-friendly and intuitive interface.