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) Alteryx Designer: Work with Live Greenhouse Data in Alteryx Designer (Connect AI) Amazon QuickSight: Build Interactive Dashboards from Greenhouse Data in Amazon QuickSight Amazon SageMaker: Integrate Live Greenhouse data into Amazon SageMaker Canvas Aqua Data Studio: Connect to Greenhouse in Aqua Data Studio AWS Databricks: Process & Analyze Greenhouse Data in Databricks (AWS) Azure Analysis Services: Model Greenhouse Data Using Azure Analysis Services Birst: Build Visualizations of Greenhouse in Birst BIRT: Design BIRT Reports on Greenhouse Clear Analytics: Build Charts with Greenhouse in Clear Analytics Cognos Analytics (On-Prem): Analyze Greenhouse Data in Cognos 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 FineReport: Feed Greenhouse into FineReport Gecokboard: Create Dashboards and Visualize Live Greenhouse Data in Geckoboard Google Sheets: Access Live Greenhouse Data in Google Sheets Grafana: Create Greenhouse-Connected Dashboards in Grafana IBM Cognos BI: Create Data Visualizations in Cognos BI with Greenhouse Infragistics Reveal: Analyze Greenhouse Data in Infragistics Reval JasperServer: Create Greenhouse Reports on JasperReports Server Jaspersoft BI Suite: Connect to Greenhouse in Jaspersoft Studio JReport Designer: Integrate with Greenhouse in JReport Designer Klipfolio: Create Greenhouse-Connected Visualizations in Klipfolio KNIME: Enable the Greenhouse JDBC Driver in KNIME LINQPad: Working with Greenhouse in LINQPad Looker: Analyze Greenhouse Data in Looker Looker Studio: Create Reports from Greenhouse Data in Looker Studio Metabase: Create Interactive Greenhouse-Connected Metabase Dashboards Microsoft Excel: Access Live Greenhouse Data in Excel Desktop Microsoft Excel for the Web: Access Live Greenhouse Data in Excel for the Web Microsoft SSAS: Build an OLAP Cube in SSAS from Greenhouse MicroStrategy: Connect to Live Greenhouse Data in MicroStrategy through Connect AI 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 Mode Analytics: Create Greenhouse-Connected Visualizations in Mode 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 Power BI Service: Visualize Live Greenhouse Data in the Power BI Service Power Pivot: Access Greenhouse Data in Microsoft Power Pivot Power Query: Access Greenhouse Data in Microsoft Power Query Qlik Cloud: Create Apps from Greenhouse Data in Qlik Sense Cloud 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 Redash: Query, Visualize, and Share live Greenhouse Data in Redash SAP Analytics Cloud: Analyze Greenhouse Data in SAP Analytics Cloud 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) SAP Crystal Reports: Publish Reports with Greenhouse in Crystal Reports (Connect AI) 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 SAS Viya: Analyze Live Greenhouse Data in SAS Viya Sisense: Visualize Live Greenhouse in Sisense Spago BI: Connect to Greenhouse in SpagoBI Tableau: Visualize Greenhouse in Tableau Desktop Tableau: Visualize Greenhouse in Tableau Desktop (Connect AI) Tableau Cloud: Build Greenhouse Visualizations in Tableau Cloud Tableau Server: Publish Greenhouse-Connected Dashboards in Tableau Server ThoughtSpot: Model, Search, and Visualize Live Greenhouse Data in ThoughtSpot TIBCO Spotfire: Visualize Greenhouse in TIBCO Spotfire through ADO.NET TIBCO Spotfire Server: Operational Reporting on Greenhouse from Spotfire Server Zoho Analytics: Create Greenhouse-Connected Dashboards in Zoho Analytics

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



Airbyte: Connect to Greenhouse Data in Airbyte ELT Pipelines Amazon Redshift: Automated Continuous Greenhouse Replication to Amazon Redshift Amazon S3: Automated Continuous Greenhouse Replication to Amazon S3 Apache Airflow: Bridge Greenhouse Connectivity with Apache Airflow Apache Camel: Integrate with Greenhouse using Apache Camel Apache Cassandra: Automated Continuous Greenhouse Replication to Apache Cassandra Apache Kafka: Automated Continuous Greenhouse Replication to Apache Kafka Apache NiFi: Bridge Greenhouse Connectivity with Apache NiFi AWS Glue: Build ETL Jobs with Greenhouse Data in AWS Glue Jobs Azure Data Factory: Import Greenhouse Data Using Azure Data Factory Azure Data Lake: Automated Continuous Greenhouse Replication to Azure Data Lake Azure Synapse: Automated Continuous Greenhouse Replication to Azure Synapse BIML: Use Biml to Build SSIS Tasks to Replicate Greenhouse to SQL Server CloverDX: Connect to Greenhouse in CloverDX (formerly CloverETL) Couchbase: Automated Continuous Greenhouse Replication to Couchbase CSV: Automated Continuous Greenhouse Replication to Local Delimited Files Databricks: Automated Continuous Greenhouse Replication to Databricks ETL Validator: How to Work with Greenhouse in ETL Validator FoxPro: Work with Greenhouse in FoxPro Google AlloyDB: Automated Continuous Greenhouse Replication to Google AlloyDB Google BigQuery: Automated Continuous Greenhouse Replication to Google BigQuery Google Cloud SQL: Automated Continuous Greenhouse Replication to Google Cloud SQL Google Data Fusion: Build Greenhouse-Connected ETL Processes in Google Data Fusion Google Data Fusion: Build Pipelines with Live Greenhouse Data in Google Cloud Data Fusion (CData Connect AI) Heroku / Salesforce Connect: Replicate Greenhouse for Use in Salesforce Connect HULFT Integrate: Connect to Greenhouse in HULFT Integrate IBM DB2: Automated Continuous Greenhouse Replication to IBM DB2 Informatica Cloud: Integrate Greenhouse in Your Informatica Cloud Instance Informatica PowerCenter: Create Informatica Mappings From/To a JDBC Data Source for Greenhouse Jaspersoft ETL: Connect to Greenhouse in Jaspersoft Studio Microsoft Azure Tables: Automated Continuous Greenhouse Replication to Azure SQL Microsoft Power Automate: Build Greenhouse-Connected Automated Tasks with Power Automate (Desktop) Microsoft OneLake: Automated Continuous Greenhouse Replication to Microsoft OneLake (Fabric} MongoDB: Automated Continuous Greenhouse Replication to MongoDB MySQL: Automated Continuous Greenhouse Replication to MySQL Oracle Data Integrator: ETL Greenhouse in Oracle Data Integrator Oracle Database: Automated Continuous Greenhouse Replication to Oracle Pentaho Data Integration: Integrate Greenhouse in Pentaho Data Integration petl: Extract, Transform, and Load Greenhouse in Python PostgreSQL: Automated Continuous Greenhouse Replication to PostgreSQL SAP HANA: Automated Continuous Greenhouse Replication to SAP HANA SingleStore: Automated Continuous Greenhouse Replication to SingleStore SnapLogic: Integrate Greenhouse with External Services using SnapLogic (JDBC) SnapLogic: Integration with Greenhouse Data in SnapLogic (Connect AI) Snowflake: Automated Continuous Greenhouse Replication to Snowflake SQL Server: Automated Continuous Greenhouse Replication to SQL Server SQL Server Linked Server: Connect to Greenhouse Data as a SQL Server Linked Server SQLite: Automated Continuous Greenhouse Replication to SQLite Talend: Connect to Greenhouse and Transfer Data in Talend UiPath Studio: Create an RPA Flow that Connects to Greenhouse in UiPath Studio Vertica: Automated Continuous Greenhouse Replication to a Vertica Database Workato: Build Automated Workflows with Live Greenhouse Data in Workato Zapier: Build Automated Greenhouse-Connected Workflows in Zapier

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 Axios: Build Greenhouse-Connected Web Apps with Axios and CData Connect AI .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 AppSheet: Create Greenhouse-Connected Business Apps in AppSheet Bubble.io: Build Greenhouse-Connected Apps in Bubble C++Builder: DataBind Controls to Greenhouse Data in C++Builder Choreo: Build Custom Apps on Greenhouse Data in Choreo Claude Code: Build Greenhouse-Powered Applications in Claude Code with CData MCP Server ColdFusion: Query Greenhouse in ColdFusion Using JDBC ColdFusion: Query Greenhouse in ColdFusion Using ODBC Cursor: Build Greenhouse-Powered Applications in Cursor with CData MCP Server 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) Gemini Code Assist: Build Greenhouse-Powered Applications in Gemini Code Assist with CData MCP Server GitHub Copilot: Build Greenhouse-Powered Applications in GitHub Copilot with CData MCP Server Go: Write a Simple Go Application to work with Greenhouse on Linux Google Apps Script: Connect to Greenhouse Data in Google Apps Script 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 JetBrains RubyMine: Integrate Greenhouse with JetBrains RubyMine Jitterbit: Integrate with Live Greenhouse Data in Jitterbit JRuby: Connect to Greenhouse in JRuby Lazarus IDE: Easily Integrate Greenhouse Data in Lazarus Pascal IDE Mendix: Build Greenhouse-Connected Apps in Mendix (Connect AI) Mendix: Build Greenhouse-Connected Apps in Mendix (JDBC) Microsoft Power Apps: Integrate Live Greenhouse Data into Custom Business Apps Built in Power Apps NodeJS: Query Greenhouse Data in Node.js (via Connect AI) NodeJS: Query Greenhouse through ODBC in Node.js OutSystems: Create Greenhouse-Connected Enterprise Applications in OutSystems Perplexity Desktop: How to Query Live Greenhouse Data in Perplexity Desktop PHP: Natively Connect to Greenhouse in PHP PowerBuilder: Connect to Greenhouse from PowerBuilder PyCharm: Using the CData ODBC Driver for Greenhouse in PyCharm Python: Connect to Greenhouse in Python on Linux/UNIX Retool: Build Greenhouse-Connected Apps in Retool Ruby: Connect to Greenhouse in Ruby RunMyProcess: Connect to Greenhouse Data in RunMyProcess 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 Unqork: Create Greenhouse-Connected Applications in Unqork VCL App (RAD Studio): Build a Simple VCL Application for Greenhouse WebLogic: Connect to Greenhouse from a Connection Pool in WebLogic


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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, write, and update 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.

If you need truly zero-maintenance integration, check out connectivity to Greenhouse via CData Connect AI. With Connect AI you can configure all of your data connectivity in one place and connect to Greenhouse from any of the available Cloud Drivers and Client Applications. Connectivity to Greenhouse is managed in the cloud, and you never have to worry about installing new drivers when Greenhouse is updated.

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.

Additionally, since Greenhouse supported by CData Connect AI, we enable all kinds of new Greenhouse cloud integrations.

Greenhouse Analytics and Greenhouse Cloud BI integration 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.

Greenhouse data integration is typically enabled with CData Sync, a robust any-to-any data pipeline solution that is easy to set up, runs everywhere, and offers comprehensive enterprise-class features for data engineering. CData Sync makes it easy to replicate Greenhouse data any database or data warehouse, and maintain parity between systems with automated incremental Greenhouse replication. In addition, our Greenhouse drivers and connectors can be easily embedded into a wide range of data integration tools to augment existing solutions.

Absolutely. The best way to integrate Greenhouse with Excel is by using the CData Connect AI Excel Add-In. The Greenhouse Excel Add-In provides easy Greenhouse integration directly from Microsoft Excel Desktop, Mac, or Web (Excel 365). Our integration offers live bi-directional access to Greenhouse data directly from Excel. Simply configure your connection to Greenhouse from the easy-to-use cloud interface, and access Greenhouse just like you would another native Excel data source.



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