GitHub Drivers & Connectors
for Data Integration

Read, Write, and Update GitHub data through easy-to-use bi-directional drivers. Easily integrate GitHub 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 GitHub data with BI, analytics, reporting and data visualization technologies. They provide unmatched query performance, comprehensive access to GitHub 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 GitHub in Alteryx Designer (ODBC) Alteryx Designer: Work with Live GitHub Data in Alteryx Designer (Connect Cloud) Amazon QuickSight: Build Interactive Dashboards from GitHub Data in Amazon QuickSight Amazon SageMaker: Integrate Live GitHub data into Amazon SageMaker Canvas Aqua Data Studio: Connect to GitHub in Aqua Data Studio AWS Databricks: Process & Analyze GitHub Data in Databricks (AWS) Azure Analysis Services: Model GitHub Data Using Azure Analysis Services Birst: Build Visualizations of GitHub in Birst BIRT: Design BIRT Reports on GitHub Clear Analytics: Build Charts with GitHub in Clear Analytics Cognos Analytics (On-Prem): Analyze GitHub Data in Cognos Analytics DBxtra: Build Dashboards with GitHub in DBxtra Domo: Create Datasets from GitHub in Domo Workbench Dundas BI: Build Dashboards with GitHub in Dundas BI Excel (on Mac OS): Work with GitHub Data in MS Excel on Mac OS X FineReport: Feed GitHub into FineReport Google Sheets: Access Live GitHub Data in Google Sheets IBM Cognos BI: Create Data Visualizations in Cognos BI with GitHub Infragistics Reveal: Analyze GitHub Data in Infragistics Reval JasperServer: Create GitHub Reports on JasperReports Server Jaspersoft BI Suite: Connect to GitHub in Jaspersoft Studio JReport Designer: Integrate with GitHub in JReport Designer Klipfolio: Create GitHub-Connected Visualizations in Klipfolio KNIME: Enable the GitHub JDBC Driver in KNIME LINQPad: Working with GitHub in LINQPad Looker: Analyze GitHub Data in Looker Looker Studio: Create Reports from GitHub Data in Looker Studio Metabase: Create Interactive GitHub-Connected Metabase Dashboards Microsoft Excel: Access Live GitHub Data in Excel Desktop Microsoft Excel for the Web: Access Live GitHub Data in Excel for the Web Microsoft SSAS: Build an OLAP Cube in SSAS from GitHub MicroStrategy: Connect to Live GitHub Data in MicroStrategy through Connect Cloud MicroStrategy: Use the CData JDBC Driver for GitHub in MicroStrategy Microstrategy Desktop: Use the CData JDBC Driver for GitHub in MicroStrategy Desktop Microstrategy Web: Use the CData JDBC Driver for GitHub in MicroStrategy Web Mode Analytics: Create GitHub-Connected Visualizations in Mode OBIEE: GitHub Reporting in OBIEE with the GitHub JDBC Driver pandas: Use pandas to Visualize GitHub in Python Pentaho Report Designer: Integrate GitHub in the Pentaho Report Designer Power BI Desktop: Author Power BI Reports on Real-Time GitHub Power BI Service: Visualize Live GitHub Data in the Power BI Service Power Pivot: Access GitHub Data in Microsoft Power Pivot Power Query: Access GitHub Data in Microsoft Power Query Qlik Cloud: Create Apps from GitHub Data in Qlik Sense Cloud QlikView: Connect to and Query GitHub in QlikView over ODBC R: Analyze GitHub in R (JDBC) R: Analyze GitHub in R (ODBC) RapidMiner: Connect to GitHub in RapidMiner Redash: Build GitHub-Connected Dashboards in Redash SAP Analytics Cloud: Analyze GitHub Data in SAP Analytics Cloud SAP Business Objects: Create an SAP BusinessObjects Universe on the CData JDBC Driver for GitHub SAP Crystal Reports: Publish Reports with GitHub in Crystal Reports SAS: Use the CData ODBC Driver for GitHub in SAS for Real-Time Reporting and Analytics SAS JMP: Use the CData ODBC Driver for GitHub in SAS JMP SAS Viya: Analyze Live GitHub Data in SAS Viya Sisense: Visualize Live GitHub in Sisense Spago BI: Connect to GitHub in SpagoBI Tableau: Visualize GitHub in Tableau Desktop Tableau Cloud: Build GitHub Visualizations in Tableau Cloud Tableau Server: Publish GitHub-Connected Dashboards in Tableau Server TIBCO Spotfire: Visualize GitHub in TIBCO Spotfire through ADO.NET TIBCO Spotfire: Visualize GitHub Data in TIBCO Spotfire TIBCO Spotfire Server: Operational Reporting on GitHub from Spotfire Server Visio: Link Visio Shapes to GitHub Zoho Analytics: Create GitHub-Connected Dashboards in Zoho Analytics

ETL, Replication, & Warehousing

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

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

Workflow & Automation Tools

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

Our drivers and adapters provide straightforward access to GitHub 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 GitHub from anywhere. Our GitHub drivers offer a data-centric model for GitHub 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

.NET Charts: DataBind Charts to GitHub .NET QueryBuilder: Rapidly Develop GitHub-Driven Apps with Active Query Builder Angular JS: Using AngularJS to Build Dynamic Web Pages with GitHub Apache Spark: Work with GitHub in Apache Spark Using SQL AppSheet: Create GitHub-Connected Business Apps in AppSheet Build GitHub-Connected Apps in Bubble C++Builder: DataBind Controls to GitHub Data in C++Builder Choreo: Build Custom Apps on GitHub Data in Choreo ColdFusion: Query GitHub in ColdFusion Using JDBC ColdFusion: Query GitHub in ColdFusion Using ODBC Dash: Use Dash & Python to Build Web Apps on GitHub Delphi: DataBind Controls to GitHub Data in Delphi DevExpress: DataBind GitHub to the DevExpress Data Grid EF - Code First: Access GitHub with Entity Framework 6 EF - LINQ: LINQ to GitHub EF - MVC: Build MVC Applications with Connectivity to GitHub Filemaker Pro: Bidirectional Access to GitHub from FileMaker Pro Filemaker Pro (on Mac): Bidirectional Access to GitHub from FileMaker Pro (on Mac) Go: Write a Simple Go Application to work with GitHub on Linux Google Apps Script: Connect to GitHub Data in Google Apps Script Hibernate: Object-Relational Mapping (ORM) with GitHub Entities in Java IntelliJ: Connect to GitHub in IntelliJ JBoss: Connect to GitHub from a Connection Pool in JBoss JDBI: Create a Data Access Object for GitHub using JDBI JRuby: Connect to GitHub in JRuby Mendix: Build GitHub-Connected Apps in Mendix Microsoft Power Apps: Integrate Live GitHub Data into Custom Business Apps Built in Power Apps NodeJS: Query GitHub Data in Node.js (via Connect Cloud) NodeJS: Query GitHub through ODBC in Node.js OutSystems: Create GitHub-Connected Enterprise Applications in OutSystems PHP: Access GitHub in PHP through Connect Server PHP: Natively Connect to GitHub in PHP PowerBuilder: Connect to GitHub from PowerBuilder PowerShell: Pipe GitHub to CSV in PowerShell PyCharm: Using the CData ODBC Driver for GitHub in PyCharm Python: Connect to GitHub in Python on Linux/UNIX React: Build Dynamic React Apps with GitHub Data Ruby: Connect to GitHub in Ruby RunMyProcess: Connect to GitHub Data in RunMyProcess RunMyProcess DSEC: Connect to GitHub in DigitalSuite Studio through RunMyProcess DSEC SAP UI5: Integrate Real-Time Access to GitHub in SAPUI5 MVC Apps Servoy: Build GitHub-Connected Apps in Servoy Spring Boot: Access Live GitHub Data in Spring Boot Apps SQLAlchemy: Use SQLAlchemy ORMs to Access GitHub in Python Tomcat: Configure the CData JDBC Driver for GitHub in a Connection Pool in Tomcat Unqork: Create GitHub-Connected Applications in Unqork VCL App (RAD Studio): Build a Simple VCL Application for GitHub WebLogic: Connect to GitHub from a Connection Pool in WebLogic

When Only the Best GitHub Drivers Will Do

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

Frequently Asked GitHub Driver Questions

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

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

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

By comparison, our GitHub Drivers offer codeless access to live GitHub data for both technical and non-technical users alike. Any user can install our drivers and begin working with live GitHub 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 GitHub data. We manage all of the complexities of GitHub 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 GitHub via CData Connect Cloud. With Connect Cloud you can configure all of your data connectivity in one place and connect to GitHub from any of the available Cloud Drivers and Client Applications. Connectivity to GitHub is managed in the cloud, and you never have to worry about installing new drivers when GitHub 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 GitHub, 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 GitHub driver offers full-featured GitHub data connectivity. The CData GitHub drivers support extensive GitHub integration, providing access to all of the GitHub 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 GitHub 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 GitHub driver contains a full SQL-92 compliant engine that translates standard SQL queries into GitHub API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to GitHub as possible. Any logic that can not be pushed to GitHub is handled transparently client-side by the driver/connector engine. Ultimately, this means that GitHub looks and acts exactly like a database to any client application or tool. Users can integrate live GitHub connectivity with ANY software solution that can talk to a standard database.

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

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

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

GitHub Analytics and GitHub 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 GitHub 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.

GitHub 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 GitHub data any database or data warehouse, and maintain parity between systems with automated incremental GitHub replication. In addition, our GitHub 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 GitHub with Excel is by using the CData Connect Cloud Excel Add-In. The GitHub Excel Add-In provides easy GitHub integration directly from Microsoft Excel Desktop, Mac, or Web (Excel 365). Simply configure your connection to GitHub from the easy-to-use cloud interface, and access GitHub just like you would another native Excel data source.