Greenhouse Drivers & Connectors for Data Integration

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

ETL, Replication, & Warehousing



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

Connect your RDBMS or data warehouse with Greenhouse 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 Greenhouse from popular data migration, ESB, iPaaS, and BPM tools.

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

Data Virtualization



Our drivers provide a virtual database abstraction on top of Greenhouse 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 Greenhouse Drivers Will Do

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



Frequently Asked Greenhouse Driver Questions

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


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

Working with a Greenhouse Driver is different than connecting with Greenhouse through other means. Greenhouse 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 Greenhouse integration code moving forward.

By comparison, our Greenhouse Drivers offer codeless access to live Greenhouse data for both technical and non-technical users alike. Any user can install our drivers and begin working with live Greenhouse 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 Greenhouse data. We manage all of the complexities of Greenhouse 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 Greenhouse, 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 Greenhouse driver offers full-featured Greenhouse data connectivity. The CData Greenhouse drivers support extensive Greenhouse integration, providing access to all of the Greenhouse 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 Greenhouse 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 Greenhouse driver contains a full SQL-92 compliant engine that translates standard SQL queries into Greenhouse API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to Greenhouse as possible. Any logic that can not be pushed to Greenhouse is handled transparently client-side by the driver/connector engine. Ultimately, this means that Greenhouse looks and acts exactly like a database to any client application or tool. Users can integrate live Greenhouse connectivity with ANY software solution that can talk to a standard database.

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

Using the CData Greenhouse drivers and connectors, Greenhouse 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 Greenhouse data connectivity. Explore some of the more popular Greenhouse data integrations online.

Greenhouse 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 Greenhouse 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 Greenhouse integration. These Add-Ins provide live access to Greenhouse data directly from Microsoft Excel.