BigQuery Drivers & Connectors
for Data Integration

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

ETL, Replication, & Warehousing



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

Connect your RDBMS or data warehouse with BigQuery 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 BigQuery Data in Airbyte ELT Pipelines Apache Airflow: Bridge BigQuery Connectivity with Apache Airflow Apache Camel: Integrate with BigQuery using Apache Camel Apache NiFi: Bridge BigQuery Connectivity with Apache NiFi Apache NiFi Batch Operations: Perform Batch Operations with BigQuery Data in Apache NiFi AWS Glue: Build ETL Jobs with BigQuery Data in AWS Glue Jobs Azure Data Factory: Import BigQuery Data Using Azure Data Factory BIML: Use Biml to Build SSIS Tasks to Replicate BigQuery to SQL Server CloverDX: Connect to BigQuery in CloverDX (formerly CloverETL) Couchbase: Automated Continuous BigQuery Replication to Couchbase FoxPro: Work with BigQuery in FoxPro HULFT Integrate: Connect to BigQuery in HULFT Integrate Informatica Cloud: Integrate BigQuery in Your Informatica Cloud Instance Informatica PowerCenter: Create Informatica Mappings From/To a JDBC Data Source for BigQuery Jaspersoft ETL: Connect to BigQuery in Jaspersoft Studio Microsoft Access: Automated Continuous BigQuery Replication to Microsoft Access Microsoft Azure Tables: Automated Continuous BigQuery Replication to Azure SQL Microsoft Excel: Transfer Data from Excel to BigQuery Microsoft Power Automate: Build BigQuery-Connected Automated Tasks with Power Automate (Desktop) Oracle Data Integrator: ETL BigQuery in Oracle Data Integrator petl: Extract, Transform, and Load BigQuery in Python Replicate to MySQL: Replicate BigQuery to MySQL with PowerShell SnapLogic: Integrate BigQuery with External Services using SnapLogic SQL Server Linked Server: Connect to BigQuery Data as a SQL Server Linked Server SQLite: Automated Continuous BigQuery Replication to SQLite Talend: Connect to BigQuery and Transfer Data in Talend UiPath Studio: Create an RPA Flow that Connects to BigQuery in UiPath Studio

Workflow & Automation Tools



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

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


When Only the Best BigQuery Drivers Will Do

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



Frequently Asked BigQuery Driver Questions

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


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

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

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

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

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

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

BigQuery Analytics and BigQuery 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 BigQuery 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.

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