PingOne Drivers & Connectors for Data Integration

Connect to live PingOne data from reporting tools, databases, and custom applications through standards-based drivers. Easily integrate PingOne data with BI, Reporting, Analytics, ETL Tools, and Custom Solutions.


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BI & Analytics



Our drivers offer the fastest and easiest way to connect real-time PingOne data with BI, analytics, reporting and data visualization technologies. They provide unmatched query performance, comprehensive access to PingOne data and metadata, and seamlessly integrate with your favorite analytics tools.

LEARN MORE: Connectivity for BI & Analytics

Popular BI & Analytics Integrations



Alteryx Designer: Prepare, Blend, and Analyze PingOne in Alteryx Designer (ODBC) Aqua Data Studio: Connect to PingOne in Aqua Data Studio AWS Databricks: Process & Analyze PingOne Data in Databricks (AWS) Birst: Build Visualizations of PingOne in Birst BIRT: Design BIRT Reports on PingOne Clear Analytics: Build Charts with PingOne in Clear Analytics DBxtra: Build Dashboards with PingOne in DBxtra Domo: Create Datasets from PingOne in Domo Workbench Dundas BI: Build Dashboards with PingOne in Dundas BI Excel (on Mac OS): Work with PingOne Data in MS Excel on Mac OS X FineReport: Feed PingOne into FineReport IBM Cognos BI: Create Data Visualizations in Cognos BI with PingOne JasperServer: Create PingOne Reports on JasperReports Server Jaspersoft BI Suite: Connect to PingOne in Jaspersoft Studio JReport Designer: Integrate with PingOne in JReport Designer KNIME: Enable the PingOne JDBC Driver in KNIME LINQPad: Working with PingOne in LINQPad Microsoft SSAS: Build an OLAP Cube in SSAS from PingOne MicroStrategy: Use the CData JDBC Driver for PingOne in MicroStrategy Microstrategy Desktop: Use the CData JDBC Driver for PingOne in MicroStrategy Desktop Microstrategy Web: Use the CData JDBC Driver for PingOne in MicroStrategy Web OBIEE: PingOne Reporting in OBIEE with the PingOne JDBC Driver pandas: Use pandas to Visualize PingOne in Python Pentaho Report Designer: Integrate PingOne in the Pentaho Report Designer Power BI Desktop: Author Power BI Reports on Real-Time PingOne QlikView: Connect to and Query PingOne in QlikView over ODBC R: Analyze PingOne in R (JDBC) R: Analyze PingOne in R (ODBC) RapidMiner: Connect to PingOne in RapidMiner SAP Business Objects: Create an SAP BusinessObjects Universe on the CData JDBC Driver for PingOne SAP Crystal Reports: Publish Reports with PingOne in Crystal Reports (JDBC) SAS: Use the CData ODBC Driver for PingOne in SAS for Real-Time Reporting and Analytics SAS JMP: Use the CData ODBC Driver for PingOne in SAS JMP Sisense: Visualize Live PingOne in Sisense Spago BI: Connect to PingOne in SpagoBI Tableau: Visualize PingOne in Tableau Desktop Tableau Server: Publish PingOne-Connected Dashboards in Tableau Server TIBCO Spotfire: Visualize PingOne in TIBCO Spotfire through ADO.NET TIBCO Spotfire Server: Operational Reporting on PingOne from Spotfire Server

ETL, Replication, & Warehousing



From drivers and adapters that extend your favorite ETL tools with PingOne connectivity to ETL/ELT tools for PingOne data integration — our PingOne integration solutions provide robust, reliable, and secure data movement.

Connect your RDBMS or data warehouse with PingOne to facilitate operational reporting, offload queries and increase performance, support data governance initiatives, archive data for disaster recovery, and more.


Popular Data Warehousing Integrations



Workflow & Automation Tools



Connect to PingOne from popular data migration, ESB, iPaaS, and BPM tools.

Our drivers and adapters provide straightforward access to PingOne data from popular applications like BizTalk, MuleSoft, SQL SSIS, Microsoft Flow, Power Apps, Talend, and many more.

Popular Workflow & Automation Tool Integrations



Developer Tools & Technologies



The easiest way to integrate with PingOne from anywhere. Our PingOne drivers offer a data-centric model for PingOne that dramatically simplifies integration — allowing developers to build higher quality applications, faster than ever before. Learn more about the benefits for developers:



Popular Developer Integrations



AWS Lambda: Access Live PingOne Data in AWS Lambda .NET Charts: DataBind Charts to PingOne .NET QueryBuilder: Rapidly Develop PingOne-Driven Apps with Active Query Builder Apache Spark: Work with PingOne in Apache Spark Using SQL C++Builder: DataBind Controls to PingOne Data in C++Builder ColdFusion: Query PingOne in ColdFusion Using JDBC ColdFusion: Query PingOne in ColdFusion Using ODBC Dash: Use Dash & Python to Build Web Apps on PingOne Delphi: DataBind Controls to PingOne Data in Delphi DevExpress: DataBind PingOne to the DevExpress Data Grid EF - Code First: Access PingOne with Entity Framework 6 EF - LINQ: LINQ to PingOne EF - MVC: Build MVC Applications with Connectivity to PingOne Filemaker Pro: Bidirectional Access to PingOne from FileMaker Pro Filemaker Pro (on Mac): Bidirectional Access to PingOne from FileMaker Pro (on Mac) Go: Write a Simple Go Application to work with PingOne on Linux Hibernate: Object-Relational Mapping (ORM) with PingOne Entities in Java IntelliJ: Connect to PingOne in IntelliJ JBoss: Connect to PingOne from a Connection Pool in JBoss JDBI: Create a Data Access Object for PingOne using JDBI JRuby: Connect to PingOne in JRuby Lazarus IDE: Easily Integrate PingOne Data in Lazarus Pascal IDE Mendix: Build PingOne-Connected Apps in Mendix (JDBC) NodeJS: Query PingOne through ODBC in Node.js PHP: Natively Connect to PingOne in PHP PowerBuilder: Connect to PingOne from PowerBuilder PowerShell: Pipe PingOne to CSV in PowerShell PyCharm: Using the CData ODBC Driver for PingOne in PyCharm Python: Connect to PingOne in Python on Linux/UNIX Ruby: Connect to PingOne in Ruby RunMyProcess DSEC: Connect to PingOne in DigitalSuite Studio through RunMyProcess DSEC Servoy: Build PingOne-Connected Apps in Servoy Spring Boot: Access Live PingOne Data in Spring Boot Apps SQLAlchemy: Use SQLAlchemy ORMs to Access PingOne in Python Tomcat: Configure the CData JDBC Driver for PingOne in a Connection Pool in Tomcat VCL App (RAD Studio): Build a Simple VCL Application for PingOne WebLogic: Connect to PingOne from a Connection Pool in WebLogic

Data Virtualization



Our drivers provide a virtual database abstraction on top of PingOne data and support popular data virtualization features like query federation through advanced capabilities for query delegation / predicate pushdown.

Learn more about how our tools can be used in popular data virtualization scenarios below:

Popular Data Virtualization Tool Integrations





When Only the Best PingOne Drivers Will Do

See what customers have to say about our products and support.



Frequently Asked PingOne Driver Questions

Learn more about PingOne drivers & connectors for data and analytics integration


The PingOne driver acts like a bridge that facilitates communication between various applications and PingOne, allowing the application to read data as if it were a relational database. The PingOne driver abstracts the complexities of PingOne APIs, authentication methods, and data types, making it simple for any application to connect to PingOne data in real-time via standard SQL queries.

Working with a PingOne Driver is different than connecting with PingOne through other means. PingOne API integrations require technical experience from a software developer or IT resources. Additionally, due to the constant evolution of APIs and services, once you build your integration you have to constantly maintain PingOne integration code moving forward.

By comparison, our PingOne Drivers offer codeless access to live PingOne data for both technical and non-technical users alike. Any user can install our drivers and begin working with live PingOne data from any client application. Because our drivers conform to standard data interfaces like ODBC, JDBC, ADO.NET etc. they offer a consistent, maintenance-free interface to PingOne data. We manage all of the complexities of PingOne integration within each driver and deploy updated drivers as systems evolve so your applications continue to run seamlessly.

Many organizations draw attention to their library of connectors. After all, data connectivity is a core capability needed for applications to maximize their business value. However, it is essential to understand exactly what you are getting when evaluating connectivity. Some vendors are happy to offer connectors that implement basic proof-of-concept level connectivity. These connectors may highlight the possibilities of working with PingOne, but often only provide a fraction of capability. Finding real value from these connectors usually requires additional IT or development resources.

Unlike these POC-quality connectors, every CData PingOne driver offers full-featured PingOne data connectivity. The CData PingOne drivers support extensive PingOne integration, providing access to all of the PingOne data and meta-data needed by enterprise integration or analytics projects. Each driver contains a powerful embedded SQL engine that offers applications easy and high-performance access to all PingOne data. In addition, our drivers offer robust authentication and security capabilities, allowing users to connect securely across a wide range of enterprise configurations. Compare drivers and connectors to read more about some of the benefits of CData's driver connectivity.

With our drivers and connectors, every data source is essentially SQL-based. The CData PingOne driver contains a full SQL-92 compliant engine that translates standard SQL queries into PingOne API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to PingOne as possible. Any logic that can not be pushed to PingOne is handled transparently client-side by the driver/connector engine. Ultimately, this means that PingOne looks and acts exactly like a database to any client application or tool. Users can integrate live PingOne connectivity with ANY software solution that can talk to a standard database.

The PingOne drivers and connectors offer comprehensive access to PingOne data. Our PingOne driver exposes static and dynamic data and metadata, providing universal access to PingOne data for any enterprise analytics or data mangement use. To explore the PingOne driver data model, please review the edition-specific PingOne driver documentation.

Using the CData PingOne drivers and connectors, PingOne can be easily integrated with almost any application. Any software or technology that can integrate with a database or connect with standards-based drivers like ODBC, JDBC, ADO.NET, etc., can use our drivers for live PingOne data connectivity. Explore some of the more popular PingOne data integrations online.

PingOne Analytics is universally supported for BI and data science. In addition, CData provides native client connectors for popular analytics applications like Power BI, Tableau, and Excel that simplify PingOne data integration. Additionally, native Python connectors are widely available for data science and data engineering projects that integrate seamlessly with popular tools like Pandas, SQLAlchemy, Dash, and Petl.

Absolutely. CData offers native Excel Add-Ins for PingOne integration. These Add-Ins provide live access to PingOne data directly from Microsoft Excel.