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JDBC

Google BigQuery JDBC Driver

Easily connect live BigQuery data with Java-based BI, ETL, reporting, AI/ML & custom apps.

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CData Drivers now work with AI Coding tools

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The BigQuery JDBC Driver enables users to connect with live BigQuery data, directly from any applications that support JDBC connectivity. Rapidly create and deploy powerful Java applications that integrate with BigQuery data including Dataset, Table, and more!

BigQuery

BigQuery JDBC 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 ODBC 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.

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BigQuery JDBC Driver Download

JDBC access to Google BigQuery

Full-featured and consistent SQL access to any supported data source through JDBC

Certified Compatibility*

Our drivers undergo extensive testing and are certified to be compatible with leading analytics and reporting applications like SAP Crystal Reports, Pentaho, Business Objects, Crystal Reports and many more.
Metadata Discovery

Full support for JDBC DatabaseMetaData provides extensive schema discovery capabilities. Explore tables, columns, keys, and other data constructs based on user identity.
Developer Friendly

Design-time support for all major Java IDEs, including Eclipse, IntelliJ, and NetBeans.
JDBC Remoting

Our exclusive remoting feature allows hosting the JDBC connection on a server to enable connections from various clients on any platform (Java, .NET, C++, PHP, Python), using any standards-based technology (ODBC, JDBC, etc.). JDBC Remoting is enabled using the popular MySQL wire protocol server.
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.

String, Date, Numeric SQL Functions

The driver includes a library of over 50 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 JDBC 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.
Secure Connectivity

Includes standard Enterprise-class security features such as TLS/ SSL data encryption for all client-server communications.

See what you can do with BigQuery JDBC Driver

Data integration & ETL

Integrate BigQuery into your systems and data warehouses through popular Java-based ETL/EAI tools. Supports both self-hosted environments and cloud service deployment.

and more

BI, reporting & data virtualization

Connect to BigQuery from any JDBC-compatible BI, reporting, and data virtualization platform. Provides seamless integration using SQL as the standard query interface across all tools.

and more

Custom Java applications

Use the BigQuery JDBC Driver to rapidly deliver Java-based applications that connect with BigQuery. Universal SQL-based interactivity simplifies integration and speeds time to market.

and more

Connect to BigQuery—empower every team

Management & data consumer team
- CData JDBC Drivers for BigQuery act as if they are a native connector for your ETL, BI, and data virtualization tools.
- Organizations can connect to new services to capture a full view of the business, or migrate to modern data technology while maintaining connections to existing systems.
- Speed up your AI initiative with CData. Connect your data with the AI / ML platform of your choice.
IT Team

Need to integrate your internal systems with BigQuery? CData JDBC Drivers let you do it easily. Java-based applications can connect to BigQuery with SQL/JDBC—any ETL, EAI (Enterprise Application Integration), or ESB (Enterprise Service Bus) can connect to BigQuery.
ISVs & cloud service vendors for embedded JDBC
- Embed CData JDBC Drivers for BigQuery in your product and differentiate with your connectivity.
- Standard SQL access. Stop researching different authentication, data models, and query methods.
- Use your resources to build your product—CData takes care of your connectivity.
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AI-assisted development with CData CLI

Build BigQuery integrations faster with AI that understands your schema

Schema-aware AI

CData CLI gives AI coding tools access to your BigQuery schema. No more guessing table names or column types—AI sees the same metadata in your JDBC Drivers.

Your AI knows SQL

How to find table names, column names, and how to generate SQL syntax are things that AI knows well from millions of training data. No need for customization, no hallucinations. Your AI acts like a domain specialist to BigQuery.

More accurate, more token-efficient

With CData CLI's queryable schema detection and highly efficient queries with filters, aggregation, joins with correct pushdown, your AI will achieve more accuracy with less token usage.

Supported AI Coding Tools

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FAQs

Frequently asked BigQuery JDBC driver questions

Learn more about BigQuery JDBC drivers for data and analytics integration

Can BigQuery be used with Java?

Yes, BigQuery can be used with Java . CData provides a JDBC type 4/5 driver for BigQuery that allows Java applications to connect to BigQuery using standard JDBC APIs. This driver enables you to execute SQL queries, manage connections, and process data stored in BigQuery from Java, or any Java-based application that supports JDBC.
Does BigQuery support JDBC?
Not natively. However, CData offers a JDBC driver for BigQuery that allows you to connect to BigQuery data from any Java-based application that supports JDBC, 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 Informatica, Talend, Apache Spark, Apache NiFi, 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 JDBC driver is a pure Java type 4/5 driver with comprehensive ANSI SQL-92 support. This means that virtually any application that can connect to data via JDBC, can use the CData JDBC driver for real-time integration. Download a fully functional free trial of the BigQuery JDBC driver today to get started.
Is there a JDBC driver for BigQuery?

Yes, the CData JDBC driver for BigQuery provides universal JDBC data connectivity for BigQuery. The BigQuery JDBC 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 can use the CData JDBC driver for real-time integration.
How do I connect to BigQuery via JDBC?

Connectivity to BigQuery via JDBC is easy. First, download and install the BigQuery JDBC driver.

Once the installation is complete, navigate to the JDBC 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 JDBC are just the beginning. The documentation also provides extensive configuration details for using the BigQuery JDBC driver with all your favorite applications and development tools, ensuring you have all the support you need.
Where can I download a JDBC driver for BigQuery?

All of the CData JDBC drivers, including the BigQuery JDBC driver are available for download online. To get started, download a fully functional free trial of the BigQuery JDBC driver today.
How do I install the JDBC driver for BigQuery?

To install the BigQuery driver, simply download one of the BigQuery JDBC driver installers available online. The installers are comprehensive setup utilities that will install all the components required to use the BigQuery JDBC driver on your system.