BigQuery drivers & connectors for data 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.