BigQuery Integration
 
Decorative Icon BigQuery Logo

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.

Do more with BigQuery data


ETL/ELT
CData Sync
Integrate BigQuery data into any database or data warehouse
SQL Server
SSIS Tasks
Integrate BigQuery with SQL Integration Services
Command-Line Access
PowerShell
Automate BigQuery tasks form the command-line with PowerShell
Reporting & Spreadsheets
Excel
Google Sheets
Connect to live BigQuery data from your favorite Spreadsheet
BI & Analytics
Power BI
Tableau
Connect to live BigQuery data from your favorite BI tool
Semantic Layer
CData Virtuality
Access BigQuery through a unified logical data access layer
Cloud BI Tools
CData Connect AI
Integration with popular cloud-based tools like Looker, QuickSight, SAP Analytics Cloud, and more
Connect Apps
ODBC
JDBC
ADO.NET
Extend common applications and tools with drop-in connectivity
Live Cloud Connectivity
CData Connect AI
Access real-time Workday data from SaaS/Cloud apps
Python Connectivity
Python Connector
Connect BigQuery with Python and Data Science projects
AI Connectivity
AI / MCP Server
Easily connect BigQuery to AI assistants, copilots, & agents.

Other Google Technologies

Other Google Drivers



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BigQuery data integration

Access BigQuery data in all of the systems you use every day, including BI & analytics tools, databases, data warehouses, and custom apps. Customers commonly use CData's BigQuery connectivity to:

  • Built-in query pushdown, intelligent caching, and batching features reduce BigQuery costs and latency over other integrations methods.
  • Standard SQL syntax allows users to connect to live data from popular tools (e.g., Excel, Power BI, Python's pandas, etc.) without learning BigQuery-specific quirks.
  • Supports for BigQuery standard and legacy dialects.
  • Authenticate in a variety of ways, including OAuth, OKTA, Azure AD, Azure Managed Service Identity, PingFederate, private key, and more.

Try CData BigQuery Connectors
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Trusted by BigQuery Users Worldwide


Office Depot Leverages CData to 'Lift and Shift' Critical Data and Enable Analytics Integration

“CData allows us to take that Snowflake data and put it in a cube with that sub-two second response time our end-users are looking for.”

— Daniel Ligas
Office Depot IT Architect


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Belden Supports Growing Marketing Requests by Centralizing Data Access in the Cloud

“CData connects our Tableau to Google Analytics, Google Ads, and Salesforce. Now we’ve also got connectors set up for Pardot, LinkedIn, Instagram, Facebook, and Twitter. And I have all these things all in one place with no upkeep on my end.”

— Paul Summitt
Belden D&A IT Supervisor


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Logi Analytics Brings Real-Time Data to Analytics Dashboards for SaaS

“As we expand into and serve new industries and markets, having broad-spectrum data connectivity within our products will improve our ability to support additional customers and data reporting scenarios”

— Jaimi Panini
VP of Product & Development for Logi Analytics


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The CData difference

Our standards-based approach to connectivity streamlines data access and insulates usrs from the complexities of integrating BigQuery data.

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Unparalleled BigQuery Connectivity

Get full access to your BigQuery data wherever you need it. CData is the undisputed leader in BigQuery connectivity providing the most comprehensive access to live BigQuery data anywhere. Thousands of customers and hundreds of leading data ISVs rely on our connectivity to make the most of their data.

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Fastest time to value

Reduce reducing development cycles and accelerating the overall time to market. Our pre-built, optimized connectors eliminate the need for complex custom development, allowing for fast, secure access to Workday data.

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Unbeatable price-performance

By standardizing and streamlining how systems interact with BigQuery our products reduce development costs and timelines, slash architectural complexity.

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Blazing data access

Our BigQuery connectivity is fast — really fast. In fact, over twice as fast as other solutions. Our engineers have optimized our drivers for maximum performance all the way down to the socket level, delivering truly exceptional data access.

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Future-proof integration

We continuously test against changes in the BigQuery APIs & protocols used to connect, preventing downtime in your data and analytics processes.

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Enterprise-class technical support

CData is dedicated to helping you find success with BigQuery. We work as an extension of your team to help solve your toughest data challenges. Thousands of customers and hundreds of ISVs rely on our services to make the most of their data.

BigQuery data for AI agents and assistants


BigQuery MCP server connectivity for AI

Enable AI agents, assistants, and workflows to access BigQuery data to improve output, tailoring responses to your actual business data and reducing hallucinations.

  • One MCP connection from BigQuery to every AI agent, assistant, copilot, or LLM that could use it.
  • Maintain security and user permissions with pass-through user-based access and read/write controls
  • Platform solution to control and monitor user access via AI across your organization.

Learn more: Connect AI: the world's first managed Model Context Protocol (MCP) platform.

CData Connect AI
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BigQuery connectivity for BI & analytics


BI & Analytics Integration

Live BigQuery access for analytics

Access BigQuery data in all of the systems you use every day, including BI & analytics tools, databases, data warehouses, and custom apps.

  • Connect BigQuery (and any other data source) to your favorite analytics, automation, or data management app without moving data
  • Bi-directional BigQuery connectivity through common data endpoints
  • Enable BigQuery governability and data privacy with user-level permissioning at the source level.

BigQuery ETL, replication, & data warehousing


Automate BigQuery data replication

CData Sync automatically replicates data from hundreds of on-premises and cloud data sources — like BigQuery — to any modern database, data lake, or data warehouse.

  • Create automated BigQuery data flows in minutes with point-and-click data replication
  • Facilitate reporting, business intelligence, and analytics for decision support
  • Archive data for disaster recovery
Learn more
Data Replication & ETL

Consolidate BigQuery data management


Data Management

Data management integration enables organizations to better manage their human resources data, optimize decision-making, and ensure compliance with data governance policies. Technologies like ODBC, JDBC, and ADO easily connect with all kinds of popular data management applications.

Connect BigQuery to data management systems to:

  • Provide a single, accurate source of truth for employee and resource data.
  • Ensure consistency, data quality, and integration across systems.
  • Improve data discoverability, governance, and compliance, allowing for easy tracking, auditing, and efficient data use across the organization.

Connect to BigQuery with no-code

BigQuery is often at the center of a wide range of repetitive tasks. With low-code/no-code tools, users can automate these tasks reducing manual effort and errors.

  • Customize BigQuery and integrate it with other systems (like CRM, HR, or accounting software) without writing complex code.
  • Create custom dashboards, reports, or data visualizations by integrating BigQuery data with other systems.
No-Code Data Integration

Build fully-integrated custom applications


Custom Application Integration

From custom AI and analytics to performance managemement and learning platforms, developers are leveraging our drivers to power all kinds of real-time integrations with BigQuery.

A BigQuery driver is a software library that enables applications to interact with BigQuery as though it were a traditional database. These drivers simplify communication by abstracting API complexities, presenting Salesforce data in a structured, database-like format.

A BigQuery connector is a tailored integration designed to allow proprietary applications or unique systems to seamlessly interact with BigQuery. Built on the same robust engine as our BigQuery drivers, these connectors provide effortless real-time access to BigQuery data for extended application functionality.

Drivers streamline integration by abstracting BigQuery APIs, allowing you to access its data through standard interfaces like SQL, making them perfect for data-focused applications.



Embedding CData Connectivity

Virtualize access to BigQuery data

Data virtualization tools helps organizations achieve better data access, more agile decision-making, and greater efficiency in managing data across diverse systems.

Integrating BigQuery with data virtualization tools allows organizations to combine this data with other sources like ERP systems, CRM platforms, or financial databases without physically moving or duplicating data. This unified access enables faster, more efficient decision-making.

Data Management

Connect to live BigQuery data in spreadsheets


Spreadsheet Integration

Work with live BigQuery data seamlessly in Excel and Google Sheets.

  • Always work with live BigQuery data — no more downloading, copying, and pasting
  • Filter and get just the attributes and data you actually need
  • Refresh data with a click or set a schedule
  • Update BigQuery records right from your spreadsheet
Learn more

Frequently asked BigQuery integration questions

Common questions 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, write, and update 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 AI. With Connect AI 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 AI, 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 AI Excel Add-In. The BigQuery Excel Add-In provides easy BigQuery integration directly from Microsoft Excel Desktop, Mac, or Web (Excel 365). Our integration offers live bi-directional access to BigQuery data directly from Excel. 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.

Additional BigQuery connectivity resources

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