Google Search Drivers & Connectors
for Data Integration

Easy-to-use Drivers enable you to access search results from Google. Easily integrate Google Search data with BI, Reporting, Analytics, ETL Tools, and Custom Solutions.


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Other Google Technologies



BI & Analytics



Our drivers offer the fastest and easiest way to connect real-time Google Search data with BI, analytics, reporting and data visualization technologies. They provide unmatched query performance, comprehensive access to Google Search data and metadata, and seamlessly integrate with your favorite analytics tools.

LEARN MORE: Connectivity for BI & Analytics

Popular BI & Analytics Integrations



Alteryx Designer: Prepare, Blend, and Analyze Google Search in Alteryx Designer (ODBC) Amazon QuickSight: Build Interactive Dashboards from Google Search Data in Amazon QuickSight Aqua Data Studio: Connect to Google Search in Aqua Data Studio AWS Databricks: Process & Analyze Google Search Data in Databricks (AWS) Birst: Build Visualizations of Google Search in Birst BIRT: Design BIRT Reports on Google Search Domo: Create Datasets from Google Search in Domo Workbench Excel (on Mac OS): Work with Google Search Data in MS Excel on Mac OS X FineReport: Feed Google Search into FineReport IBM Cognos BI: Create Data Visualizations in Cognos BI with Google Search Infragistics Reveal: Analyze Google Search Data in Infragistics Reval Klipfolio: Create Google Search-Connected Visualizations in Klipfolio KNIME: Enable the Google Search JDBC Driver in KNIME LINQPad: Working with Google Search in LINQPad Microsoft SSAS: Build an OLAP Cube in SSAS from Google Search MicroStrategy: Connect to Live Google Search Data in MicroStrategy through Connect Server MicroStrategy: Use the CData JDBC Driver for Google Search in MicroStrategy Microstrategy Desktop: Use the CData JDBC Driver for Google Search in MicroStrategy Desktop Microstrategy Web: Use the CData JDBC Driver for Google Search in MicroStrategy Web pandas: Use pandas to Visualize Google Search in Python Pentaho Report Designer: Integrate Google Search in the Pentaho Report Designer Power BI Desktop: Author Power BI Reports on Real-Time Google Search Power BI Service: Visualize Live Google Search Data in the Power BI Service Power Pivot: Access Google Search Data in Microsoft Power Pivot Power Query: Access Google Search Data in Microsoft Power Query Qlik Cloud: Create Apps from Google Search Data in Qlik Sense Cloud QlikView: Connect to and Query Google Search in QlikView over ODBC R: Analyze Google Search in R (ODBC) RapidMiner: Connect to Google Search in RapidMiner Redash: Build Google Search-Connected Dashboards in Redash SAP Analytics Cloud: Analyze Google Search Data in SAP Analytics Cloud SAP Business Objects: Create an SAP BusinessObjects Universe on the CData JDBC Driver for Google Search SAP Crystal Reports: Publish Reports with Google Search in Crystal Reports SAS: Use the CData ODBC Driver for Google Search in SAS for Real-Time Reporting and Analytics Sisense: Visualize Live Google Search in Sisense Tableau: Visualize Google Search in Tableau Desktop Tableau Cloud: Build Google Search Visualizations in Tableau Cloud Tableau Server: Publish Google Search-Connected Dashboards in Tableau Server TIBCO Spotfire Server: Operational Reporting on Google Search from Spotfire Server

ETL, Replication, & Warehousing



From drivers and adapters that extend your favorite ETL tools with Google Search connectivity to ETL/ELT tools for replication — our Google Search integration solutions provide robust, reliable, and secure data movement.

Connect your RDBMS or data warehouse with Google Search to facilitate operational reporting, offload queries and increase performance, support data governance initiatives, archive data for disaster recovery, and more.


Popular Data Warehousing Integrations



Amazon Redshift: Automated Continuous Google Search Replication to Amazon Redshift Amazon S3: Automated Continuous Google Search Replication to Amazon S3 Apache Airflow: Bridge Google Search Connectivity with Apache Airflow Apache Camel: Integrate with Google Search using Apache Camel Apache Cassandra: Automated Continuous Google Search Replication to Apache Cassandra Apache Kafka: Automated Continuous Google Search Replication to Apache Kafka Apache NiFi: Bridge Google Search Connectivity with Apache NiFi Azure Data Lake: Automated Continuous Google Search Replication to Azure Data Lake Azure Synapse: Automated Continuous Google Search Replication to Azure Synapse BIML: Use Biml to Build SSIS Tasks to Replicate Google Search to SQL Server CloverDX: Connect to Google Search in CloverDX (formerly CloverETL) Couchbase: Automated Continuous Google Search Replication to Couchbase CSV: Automated Continuous Google Search Replication to Local Delimited Files Databricks: Automated Continuous Google Search Replication to Databricks FoxPro: Work with Google Search in FoxPro Google AlloyDB: Automated Continuous Google Search Replication to Google AlloyDB Google BigQuery: Automated Continuous Google Search Replication to Google BigQuery Google Cloud SQL: Automated Continuous Google Search Replication to Google Cloud SQL Google Data Fusion: Build Google Search-Connected ETL Processes in Google Data Fusion Heroku / Salesforce Connect: Replicate Google Search for Use in Salesforce Connect HULFT Integrate: Connect to Google Search in HULFT Integrate IBM DB2: Automated Continuous Google Search Replication to IBM DB2 Informatica Cloud: Integrate Google Search in Your Informatica Cloud Instance Informatica PowerCenter: Create Informatica Mappings From/To a JDBC Data Source for Google Search Microsoft Access: Automated Continuous Google Search Replication to Microsoft Access Microsoft Azure Tables: Automated Continuous Google Search Replication to Azure SQL Microsoft Power Automate: Build Google Search-Connected Automated Tasks with Power Automate (Desktop) MongoDB: Automated Continuous Google Search Replication to MongoDB MySQL: Automated Continuous Google Search Replication to MySQL Oracle Data Integrator: ETL Google Search in Oracle Data Integrator Oracle Database: Automated Continuous Google Search Replication to Oracle petl: Extract, Transform, and Load Google Search in Python PostgreSQL: Automated Continuous Google Search Replication to PostgreSQL Replicate to MySQL: Replicate Google Search to MySQL with PowerShell SAP HANA: Automated Continuous Google Search Replication to SAP HANA SingleStore: Automated Continuous Google Search Replication to SingleStore SnapLogic: Integrate Google Search with External Services using SnapLogic Snowflake: Automated Continuous Google Search Replication to Snowflake SQL Server: Automated Continuous Google Search Replication to SQL Server SQL Server Linked Server: Connect to Google Search Data as a SQL Server Linked Server SQLite: Automated Continuous Google Search Replication to SQLite Talend: Connect to Google Search and Transfer Data in Talend UiPath Studio: Create an RPA Flow that Connects to Google Search in UiPath Studio Vertica: Automated Continuous Google Search Replication to a Vertica Database

Workflow & Automation Tools



Connect to Google Search from popular data migration, ESB, iPaaS, and BPM tools.

Our drivers and adapters provide straightforward access to Google Search data from popular applications like BizTalk, MuleSoft, SQL SSIS, Microsoft Flow, Power Apps, Talend, and many more.

Popular Workflow & Automation Tool Integrations



Developer Tools & Technologies



The easiest way to integrate with Google Search from anywhere. Our Google Search drivers offer a data-centric model for Google Search that dramatically simplifies integration — allowing developers to build higher quality applications, faster than ever before. Learn more about the benefits for developers:



Popular Developer Integrations



.NET QueryBuilder: Rapidly Develop Google Search-Driven Apps with Active Query Builder Angular JS: Using AngularJS to Build Dynamic Web Pages with Google Search Apache Spark: Work with Google Search in Apache Spark Using SQL AppSheet: Create Google Search-Connected Business Apps in AppSheet C++Builder: DataBind Controls to Google Search Data in C++Builder ColdFusion: Query Google Search in ColdFusion Using JDBC ColdFusion: Query Google Search in ColdFusion Using ODBC Dash: Use Dash & Python to Build Web Apps on Google Search Delphi: DataBind Controls to Google Search Data in Delphi EF - Code First: Access Google Search with Entity Framework 6 EF - LINQ: LINQ to Google Search EF - MVC: Build MVC Applications with Connectivity to Google Search Filemaker Pro: Bidirectional Access to Google Search from FileMaker Pro Go: Write a Simple Go Application to work with Google Search on Linux Google Apps Script: Connect to Google Search Data in Google Apps Script Hibernate: Object-Relational Mapping (ORM) with Google Search Entities in Java IntelliJ: Connect to Google Search in IntelliJ JBoss: Connect to Google Search from a Connection Pool in JBoss JDBI: Create a Data Access Object for Google Search using JDBI JRuby: Connect to Google Search in JRuby Microsoft Power Apps: Integrate Live Google Search Data into Custom Business Apps Built in Power Apps NodeJS: Query Google Search Data in Node.js (via Connect Server) NodeJS: Query Google Search through ODBC in Node.js PHP: Access Google Search in PHP through Connect Server PHP: Natively Connect to Google Search in PHP PowerBuilder: Connect to Google Search from PowerBuilder PowerShell: Pipe Google Search to CSV in PowerShell PyCharm: Using the CData ODBC Driver for Google Search in PyCharm Python: Connect to Google Search in Python on Linux/UNIX React: Build Dynamic React Apps with Google Search Data Ruby: Connect to Google Search in Ruby RunMyProcess: Connect to Google Search Data in RunMyProcess RunMyProcess DSEC: Connect to Google Search in DigitalSuite Studio through RunMyProcess DSEC SAP UI5: Integrate Real-Time Access to Google Search in SAPUI5 MVC Apps Servoy: Build Google Search-Connected Apps in Servoy Spring Boot: Access Live Google Search Data in Spring Boot Apps SQLAlchemy: Use SQLAlchemy ORMs to Access Google Search in Python Tomcat: Configure the CData JDBC Driver for Google Search in a Connection Pool in Tomcat Unqork: Create Google Search-Connected Applications in Unqork VCL App (RAD Studio): Build a Simple VCL Application for Google Search WebLogic: Connect to Google Search from a Connection Pool in WebLogic


When Only the Best Google Search Drivers Will Do

See what customers have to say about our products and support.



Frequently Asked Google Search Driver Questions

Learn more about Google Search drivers & connectors for data and analytics 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.

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.

The Google Search drivers and connectors offer comprehensive access to Google Search data. Our Google Search driver exposes static and dynamic data and metadata, providing universal access to Google Search data for any enterprise analytics or data mangement use. To explore the Google Search driver data model, please review the edition-specific Google Search driver documentation.

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.

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