Google Search Drivers & Connectors
for Data Integration

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

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

By comparison, our Google Search Drivers offer codeless access to live Google Search data for both technical and non-technical users alike. Any user can install our drivers and begin working with live Google Search 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 Search data. We manage all of the complexities of Google Search 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 Google Search via CData Connect Cloud. With Connect Cloud you can configure all of your data connectivity in one place and connect to Google Search from any of the available Cloud Drivers and Client Applications. Connectivity to Google Search is managed in the cloud, and you never have to worry about installing new drivers when Google Search 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 Google Search, 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 Search driver offers full-featured Google Search data connectivity. The CData Google Search drivers support extensive Google Search integration, providing access to all of the Google Search 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 Search 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 Search driver contains a full SQL-92 compliant engine that translates standard SQL queries into Google Search API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to Google Search as possible. Any logic that can not be pushed to Google Search is handled transparently client-side by the driver/connector engine. Ultimately, this means that Google Search looks and acts exactly like a database to any client application or tool. Users can integrate live Google Search connectivity with ANY software solution that can talk to a standard database.

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

Additionally, since Google Search supported by CData Connect Cloud, we enable all kinds of new Google Search cloud integrations.

Google Search Analytics and Google Search 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 Google Search 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.

Google Search 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 Google Search data any database or data warehouse, and maintain parity between systems with automated incremental Google Search replication. In addition, our Google Search 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 Google Search with Excel is by using the CData Connect Cloud Excel Add-In. The Google Search Excel Add-In provides easy Google Search integration directly from Microsoft Excel Desktop, Mac, or Web (Excel 365). Simply configure your connection to Google Search from the easy-to-use cloud interface, and access Google Search just like you would another native Excel data source.