Other Google Drivers
-
-
Google Calendar
learn more » -
Google Sheets
learn more » -
Google Contacts
learn more » -
Google Drive
learn more » -
Google Directory
learn more » -
Google Campaign Manager 360
learn more » -
Google Ad Manager
learn more » -
Gmail
learn more » -
Google Spanner
learn more » -
Google Data Catalog
learn more » -
Google Cloud Storage
learn more » -
Google Ads
learn more » -
Google AlloyDB
learn more » -
Google Search
learn more » -
YouTube Analytics
learn more »
The Google BigQuery ODBC Driver is a powerful tool that allows you to connect with live Google BigQuery data, directly from any applications that support ODBC connectivity. Access Google BigQuery like you would a database - read, write, and update Datasets, Tables, etc. through a standard ODBC Driver interface.
BigQuery
BigQuery ODBC Connectivity Features
- Supports BigQuery Standard and Legacy SQL dialects
- Industry-leading performance for reading and writing large datasets.
- Connect to live Google BigQuery data, for real-time data access with the Google BigQuery JDBC Driver
- Full support for data aggregation and complex JOINs in SQL queries
- Secure connectivity through modern cryptography, including TLS 1.2, SHA-256, ECC, etc.
- Seamless integration with leading BI, reporting, and ETL tools and with custom applications via the BigQuery Connector.
Target Service, API
The driver supports Google BigQuery's version 2.0 Web services API and uses BigQuery's standard and legacy SQL dialects. The driver provides access to BigQuery datasets with high-performance storage integration and reservations management features.
Schema, Data Model
The driver models BigQuery data as relational tables with dynamic metadata discovery. It supports automatic schema detection including ARRAY and STRUCT data types (rendered as JSON). The driver can automatically create destination tables when needed for large result sets and supports both nested and unnested data modes.
Key Objects
BigQuery Datasets, Tables, Views, and custom queries. The driver exposes both static and dynamic data and metadata, providing universal access to all BigQuery objects including system tables for additional metadata access.
Operations
Full CRUD operations with comprehensive ANSI SQL-92 support including SELECT, INSERT, UPDATE, DELETE. Supports complex JOINs, aggregations, and filtering with query pushdown optimization. Offers bulk operations through various insert modes (Streaming API, Upload, GCSStaging) and supports bulk UPDATE/DELETE via MERGE operations. Stored procedures available for managing schemas and change tracking.
Authentication
Supports multiple authentication methods including OAuth 2.0 (with embedded credentials), OAuth Client credentials, Service Account authentication with JWT, Azure AD, Azure Service Principal, and Azure Managed Service Identity. Also supports headless OAuth flow for server environments.
Robust ODBC Access to Google BigQuery
Full-featured and consistent SQL access to any supported data source through ODBC
-
Standards-Compliant ODBC
ODBC 3.8 compliant native protocol based drivers.
-
Unicode, 32-bit and 64-bit support
Support 32-bit and 64-bit applications and unicode ODBC APIs.
-
Cross-platform ODBC (Windows/Linux/Mac)
Available for Microsoft Windows, Unix, and Mac (macOS / OS X) platforms.
-
Certified ODBC Compatibility*
Our drivers undergo extensive testing and are certified to be compatible with leading analytics and reporting applications like Tableau, Microsoft Excel, and many more.
* Please visit our knowledge base to access how-to articles. -
Embedded Remoting Capabilities
Our exclusive Remoting feature allows hosting the ODBC connection on a server to enable connections from various clients on any platform (Java, .NET, C++, PHP, Python, etc.), using any standards based technology (ODBC, JDBC, etc.). ODBC Remoting is enabled using the popular MySQL and SQL (TDS) wire protocol server.
-
String, Date, Numeric SQL Functions
The driver includes a library of 50 plus functions that can manipulate column values into the desired result. Popular examples include Regex, JSON, and XML processing functions.
-
Collaborative Query Processing
Our drivers enhance the data source's capabilities by additional client-side processing, when needed, to enable analytic summaries of data such as SUM, AVG, MAX, MIN, etc.
-
Easily Customizable and Configurable
The data model exposed by our ODBC Drivers can easily be customized to add or remove tables/columns, change data types, etc. without requiring a new build. These customizations are supported at runtime using human-readable schema files that are easy to edit.
-
Enterprise-class Secure Connectivity
Includes standard Enterprise-class security features such as TLS/ SSL data encryption for all client-server communications.
-
Replication and Caching
Our replication and caching commands make it easy to copy data to local and cloud data stores such as Oracle, SQL Server, Google Cloud SQL, etc. The replication commands include many features that allow for intelligent incremental updates to cached data.
See what you can do with BigQuery ODBC Driver
Server
Connect to BigQuery from SQL Server as Linked-Server. You can query BigQuery from familiar Transact-SQL without need of setting up another application.
Integrate BigQuery to your system through popular ETL / EAI tools such as Informatica PowerCenter. Standard SQL and Stored Procedures enable fast delivery of your integration projects.
Connect BigQuery from any ODBC compatible tools:
Desktop
Your familiar tools can connect to BigQuery using CData ODBC.
- Microsoft Access
- Power Query
- DBeaver
- and more
Connect to BigQuery — empower every team
- Easiest way to connect to BigQuery
- Dashboard / Reports that connect with BigQuery
- Data drives business, but IT teams are overwhelmed by accessing numerous siloed sources like BigQuery. CData ODBC Drivers offer the fastest, easiest way to connect BigQuery to BI tools like SAP BusinessObjects, Crystal Reports, Qlik, or Access.
Integrate BigQuery to your system:
- Custom application integration with SQL
- SQL Server Linked Server
- Informatica PowerCenter
Need to integrate your internal systems with BigQuery? CData ODBC Drivers let you do it easily—access BigQuery as a SQL Server Linked Server or connect via tools like Informatica PowerCenter using an SQL-based driver, no extra middleware required.
- Data Client of your choice
- Excel, MS Access Linked-table, PowerQuery
Still exporting and importing CSVs manually or with scripts? CData ODBC Drivers give you live access to BigQuery — no middleware or files needed. Use your preferred tools and stay in control of your BigQuery data.
Frequently Asked BigQuery ODBC Driver Questions
Learn more about BigQuery ODBC drivers for data and analytics integration
Does BigQuery support ODBC?
Not natively. However, CData offers an ODBC driver for BigQuery that allows you to connect to BigQuery data from any ODBC-compliant application, just like you would access a traditional database. This can be useful for tasks like:
- Accessing BigQuery from applications: Connect to BigQuery data in popular tools and applications including Microsoft Excel, Tableau, Power BI, and many others.
- Real-time data: You can work with live BigQuery data within these applications, enabling tasks like reporting and analysis.
- Connecting systems: Build data integrations between BigQuery and other systems.
The BigQuery ODBC driver is an ODBC 3.8 compliant native protocol-based driver with comprehensive ANSI SQL-92 support. This means that virtually any application that can connect to data via ODBC, can use the CData ODBC driver for real-time integration. Download a fully functional free trial of the BigQuery ODBC driver today to get started.
Is there an ODBC driver for BigQuery?
Yes, the CData ODBC driver for BigQuery provides universal ODBC data connectivity for BigQuery. The BigQuery ODBC driver offers a simple SQL-based layer of abstraction that simplifies real-time data access for users and applications, enabling them to communicate with BigQuery using a standardized set of functions. Virtually any application on any platform (including Windows, macOS, or *nix) can use the CData ODBC driver for real-time integration.
How do I connect to BigQuery via ODBC?
Connectivity to BigQuery via ODBC is easy. First, download and install the BigQuery ODBC driver. The download page includes separate installers for Windows, macOS, and Unix, so please select the BigQuery ODBC driver that matches the platform where you intend to use the driver.
Once the installation is complete, navigate to the ODBC driver documentation page. Here, you'll find a wealth of information about the installed driver. The step-by-step instructions for creating a DSN and using it to connect to BigQuery via ODBC are just the beginning. The documentation also provides extensive configuration details for using the BigQuery ODBC driver with all your favorite applications and development tools, ensuring you have all the support you need.
Where can I download an ODBC driver for BigQuery?
All of the CData ODBC drivers, including the BigQuery ODBC driver are available for download online. To get started, download a fully functional free trial of the BigQuery ODBC driver today.
How do I install an ODBC driver for BigQuery?
To install the BigQuery driver, simply download one of the BigQuery ODBC driver installers available online. The download page includes separate Windows, macOS, and Unix installers, so please select the BigQuery ODBC driver that matches the platform where you intend to use the driver. The installers are comprehensive setup utilities that will install all the components required to use the BigQuery ODBC driver on your system.
Is the BigQuery ODBC driver 32-bit or 64-bit?
The BigQuery ODBC driver is available in both 32-bit and 64-bit binaries. The BigQuery driver installer will allow you to install both options, and you can select the ODBC driver binary that is appropriate for the system where you intend to use the driver.
Does pyODBC work with BigQuery?
Absolutely. The BigQuery ODBC driver seamlessly supports pyODBC connectivity. For example, check out this article on our online knowledgebase that demonstrates how you can connect to BigQuery from PyCharm using pyODBC and the BigQuery ODBC driver.
However, besides ODBC support, we also provide native Python data connectivity for BigQuery. To learn more, check out the BigQuery Python Connector online.
