JDBC

PingOne JDBC Driver

Easily connect live PingOne data with Java-based BI, ETL, reporting, AI/ML & custom apps.

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The PingOne JDBC Driver enables users to connect with live PingOne data, directly from any applications that support JDBC connectivity. Rapidly create and deploy powerful Java applications that integrate with PingOne data including AdminRoles, Applications, Groups, Populations, Services, User, and more!

PingOne

PingOne JDBC Connectivity Features

Powerful metadata querying enables SQL-like access to non-database sources
Push down query optimization pushes SQL operations down to the server whenever possible, increasing performance
Client-side query execution engine, supports SQL-92 operations that are not available server-side
Connect to live PingOne data, for real-time data access with the PingOne Python Connectors
Full support for data aggregation and complex JOINs in SQL queries
Secure connectivity through modern cryptography, including TLS 1.2, SHA-256, ECC, etc.
Seamless integration with leading BI, reporting, and ETL tools and with custom applications via the PingOne Connector.

Target Service, API

The driver connects to PingOne API. Cloud identity platform.

Schema, Data Model

Models PingOne resources as tables. Identity management structure.

Key Objects

Users, Groups, Applications, and Policies. Identity platform data.

Operations

CRUD operations on identity data. Policy management. MFA configuration.

Authentication

OAuth 2.0 authentication. Environment ID and API credentials required.

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PingOne JDBC Driver Download

JDBC access to PingOne

Full-featured and consistent SQL access to any supported data source through JDBC

Certified Compatibility*

Our drivers undergo extensive testing and are certified to be compatible with leading analytics and reporting applications like SAP Crystal Reports, Pentaho, Business Objects, Crystal Reports and many more.
Metadata Discovery

Full support for JDBC DatabaseMetaData provides extensive schema discovery capabilities. Explore tables, columns, keys, and other data constructs based on user identity.
Developer Friendly

Design-time support for all major Java IDEs, including Eclipse, IntelliJ, and NetBeans.
JDBC Remoting

Our exclusive remoting feature allows hosting the JDBC connection on a server to enable connections from various clients on any platform (Java, .NET, C++, PHP, Python), using any standards-based technology (ODBC, JDBC, etc.). JDBC Remoting is enabled using the popular MySQL wire protocol server.
Replication and Caching

Our replication and caching commands make it easy to copy data to local and cloud data stores such as Oracle, SQL Server, Google Cloud SQL, etc. The replication commands include many features that allow for intelligent incremental updates to cached data.

String, Date, Numeric SQL Functions

The driver includes a library of over 50 functions that can manipulate column values into the desired result. Popular examples include Regex, JSON, and XML processing functions.
Collaborative Query Processing

Our drivers enhance the data source's capabilities by additional client-side processing, when needed, to enable analytic summaries of data such as SUM, AVG, MAX, MIN, etc.
Easily Customizable and Configurable

The data model exposed by our JDBC Drivers can easily be customized to add or remove tables/columns, change data types, etc. without requiring a new build. These customizations are supported at runtime using human-readable schema files that are easy to edit.
Secure Connectivity

Includes standard Enterprise-class security features such as TLS/ SSL data encryption for all client-server communications.

See what you can do with PingOne JDBC Driver

Data integration & ETL

Integrate PingOne into your systems and data warehouses through popular Java-based ETL/EAI tools. Supports both self-hosted environments and cloud service deployment.

and more

BI, reporting & data virtualization

Connect to PingOne from any JDBC-compatible BI, reporting, and data virtualization platform. Provides seamless integration using SQL as the standard query interface across all tools.

and more

Custom Java applications

Use the PingOne JDBC Driver to rapidly deliver Java-based applications that connect with PingOne. Universal SQL-based interactivity simplifies integration and speeds time to market.

and more

Connect to PingOne—empower every team

Management & data consumer team
- CData JDBC Drivers for PingOne act as if they are a native connector for your ETL, BI, and data virtualization tools.
- Organizations can connect to new services to capture a full view of the business, or migrate to modern data technology while maintaining connections to existing systems.
- Speed up your AI initiative with CData. Connect your data with the AI / ML platform of your choice.
IT Team

Need to integrate your internal systems with PingOne? CData JDBC Drivers let you do it easily. Java-based applications can connect to PingOne with SQL/JDBC—any ETL, EAI (Enterprise Application Integration), or ESB (Enterprise Service Bus) can connect to PingOne.
ISVs & cloud service vendors for embedded JDBC
- Embed CData JDBC Drivers for PingOne in your product and differentiate with your connectivity.
- Standard SQL access. Stop researching different authentication, data models, and query methods.
- Use your resources to build your product—CData takes care of your connectivity.
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AI-assisted development with CData CLI

Build PingOne integrations faster with AI that understands your schema

Schema-aware AI

CData CLI gives AI coding tools access to your PingOne schema. No more guessing table names or column types—AI sees the same metadata in your JDBC Drivers.

Your AI knows SQL

How to find table names, column names, and how to generate SQL syntax are things that AI knows well from millions of training data. No need for customization, no hallucinations. Your AI acts like a domain specialist to PingOne.

More accurate, more token-efficient

With CData CLI's queryable schema detection and highly efficient queries with filters, aggregation, joins with correct pushdown, your AI will achieve more accuracy with less token usage.

Supported AI Coding Tools

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FAQs

Frequently asked PingOne JDBC driver questions

Learn more about PingOne JDBC drivers for data and analytics integration

Can PingOne be used with Java?

Yes, PingOne can be used with Java . CData provides a JDBC type 4/5 driver for PingOne that allows Java applications to connect to PingOne using standard JDBC APIs. This driver enables you to execute SQL queries, manage connections, and process data stored in PingOne from Java, or any Java-based application that supports JDBC.
Does PingOne support JDBC?
Not natively. However, CData offers a JDBC driver for PingOne that allows you to connect to PingOne data from any Java-based application that supports JDBC, just like you would access a traditional database. This can be useful for tasks like:
- Accessing PingOne from applications: Connect to PingOne data in popular tools and applications including Informatica, Talend, Apache Spark, Apache NiFi, and many others.
- Real-time data: You can work with live PingOne data within these applications, enabling tasks like reporting and analysis.
- Connecting systems: Build data integrations between PingOne and other systems.
The PingOne JDBC driver is a pure Java type 4/5 driver with comprehensive ANSI SQL-92 support. This means that virtually any application that can connect to data via JDBC, can use the CData JDBC driver for real-time integration. Download a fully functional free trial of the PingOne JDBC driver today to get started.
Is there a JDBC driver for PingOne?

Yes, the CData JDBC driver for PingOne provides universal JDBC data connectivity for PingOne. The PingOne JDBC driver offers a simple SQL-based layer of abstraction that simplifies real-time data access for users and applications, enabling them to communicate with PingOne using a standardized set of functions. Virtually any application on any platform can use the CData JDBC driver for real-time integration.
How do I connect to PingOne via JDBC?

Connectivity to PingOne via JDBC is easy. First, download and install the PingOne JDBC driver.

Once the installation is complete, navigate to the JDBC driver documentation page. Here, you'll find a wealth of information about the installed driver. The step-by-step instructions for creating a DSN and using it to connect to PingOne via JDBC are just the beginning. The documentation also provides extensive configuration details for using the PingOne JDBC driver with all your favorite applications and development tools, ensuring you have all the support you need.
Where can I download a JDBC driver for PingOne?

All of the CData JDBC drivers, including the PingOne JDBC driver are available for download online. To get started, download a fully functional free trial of the PingOne JDBC driver today.
How do I install the JDBC driver for PingOne?

To install the PingOne driver, simply download one of the PingOne JDBC driver installers available online. The installers are comprehensive setup utilities that will install all the components required to use the PingOne JDBC driver on your system.