Google Cloud Storage Drivers & Connectors
for Data Integration

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

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

By comparison, our Google Cloud Storage Drivers offer codeless access to live Google Cloud Storage data for both technical and non-technical users alike. Any user can install our drivers and begin working with live Google Cloud Storage 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 Google Cloud Storage data. We manage all of the complexities of Google Cloud Storage integration within each driver and deploy updated drivers as systems evolve so your applications continue to run seamlessly.

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 Google Cloud Storage, 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 Google Cloud Storage driver offers full-featured Google Cloud Storage data connectivity. The CData Google Cloud Storage drivers support extensive Google Cloud Storage integration, providing access to all of the Google Cloud Storage 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 Google Cloud Storage 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 Google Cloud Storage driver contains a full SQL-92 compliant engine that translates standard SQL queries into Google Cloud Storage API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to Google Cloud Storage as possible. Any logic that can not be pushed to Google Cloud Storage is handled transparently client-side by the driver/connector engine. Ultimately, this means that Google Cloud Storage looks and acts exactly like a database to any client application or tool. Users can integrate live Google Cloud Storage connectivity with ANY software solution that can talk to a standard database.

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

Google Cloud Storage Analytics 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 Google Cloud Storage 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.

Absolutely. CData offers native Excel Add-Ins for Google Cloud Storage integration. These Add-Ins provide live access to Google Cloud Storage data directly from Microsoft Excel.