Google Contacts Drivers & Connectors
for Data Integration

Read, Write, and Update Google Contacts through easy-to-use bi-directional drivers. Easily integrate Google Contacts data with BI, Reporting, Analytics, ETL Tools, and Custom Solutions.


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BI & Analytics



Our drivers offer the fastest and easiest way to connect real-time Google Contacts data with BI, analytics, reporting and data visualization technologies. They provide unmatched query performance, comprehensive access to Google Contacts 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 Contacts in Alteryx Designer (ODBC) Alteryx Designer: Work with Live Google Contacts Data in Alteryx Designer (Connect Cloud) Amazon QuickSight: Build Interactive Dashboards from Google Contacts Data in Amazon QuickSight Amazon SageMaker: Integrate Live Google Contacts data into Amazon SageMaker Canvas Aqua Data Studio: Connect to Google Contacts in Aqua Data Studio AWS Databricks: Process & Analyze Google Contacts Data in Databricks (AWS) Azure Analysis Services: Model Google Contacts Data Using Azure Analysis Services Birst: Build Visualizations of Google Contacts in Birst BIRT: Design BIRT Reports on Google Contacts Clear Analytics: Build Charts with Google Contacts in Clear Analytics Cognos Analytics (On-Prem): Analyze Google Contacts Data in Cognos Analytics DBxtra: Build Dashboards with Google Contacts in DBxtra Domo: Create Datasets from Google Contacts in Domo Workbench Dundas BI: Build Dashboards with Google Contacts in Dundas BI Excel (on Mac OS): Work with Google Contacts Data in MS Excel on Mac OS X FineReport: Feed Google Contacts into FineReport Google Sheets: Access Live Google Contacts Data in Google Sheets IBM Cognos BI: Create Data Visualizations in Cognos BI with Google Contacts Infragistics Reveal: Analyze Google Contacts Data in Infragistics Reval JasperServer: Create Google Contacts Reports on JasperReports Server Jaspersoft BI Suite: Connect to Google Contacts in Jaspersoft Studio JReport Designer: Integrate with Google Contacts in JReport Designer Klipfolio: Create Google Contacts-Connected Visualizations in Klipfolio KNIME: Enable the Google Contacts JDBC Driver in KNIME LINQPad: Working with Google Contacts in LINQPad Looker: Analyze Google Contacts Data in Looker Looker Studio: Create Reports from Google Contacts Data in Looker Studio Metabase: Create Interactive Google Contacts-Connected Metabase Dashboards Microsoft Excel: Access Live Google Contacts Data in Excel Desktop Microsoft Excel for the Web: Access Live Google Contacts Data in Excel for the Web Microsoft SSAS: Build an OLAP Cube in SSAS from Google Contacts MicroStrategy: Connect to Live Google Contacts Data in MicroStrategy through Connect Cloud MicroStrategy: Use the CData JDBC Driver for Google Contacts in MicroStrategy Microstrategy Desktop: Use the CData JDBC Driver for Google Contacts in MicroStrategy Desktop Microstrategy Web: Use the CData JDBC Driver for Google Contacts in MicroStrategy Web Mode Analytics: Create Google Contacts-Connected Visualizations in Mode OBIEE: Google Contacts Reporting in OBIEE with the Google Contacts JDBC Driver pandas: Use pandas to Visualize Google Contacts in Python Pentaho Report Designer: Integrate Google Contacts in the Pentaho Report Designer Power BI Desktop: Author Power BI Reports on Real-Time Google Contacts Power BI Service: Visualize Live Google Contacts Data in the Power BI Service Power Pivot: Access Google Contacts Data in Microsoft Power Pivot Power Query: Access Google Contacts Data in Microsoft Power Query Qlik Cloud: Create Apps from Google Contacts Data in Qlik Sense Cloud QlikView: Connect to and Query Google Contacts in QlikView over ODBC R: Analyze Google Contacts in R (JDBC) R: Analyze Google Contacts in R (ODBC) RapidMiner: Connect to Google Contacts in RapidMiner Redash: Build Google Contacts-Connected Dashboards in Redash SAP Analytics Cloud: Analyze Google Contacts Data in SAP Analytics Cloud SAP Business Objects: Create an SAP BusinessObjects Universe on the CData JDBC Driver for Google Contacts SAP Crystal Reports: Publish Reports with Google Contacts in Crystal Reports SAS: Use the CData ODBC Driver for Google Contacts in SAS for Real-Time Reporting and Analytics SAS JMP: Use the CData ODBC Driver for Google Contacts in SAS JMP Sisense: Visualize Live Google Contacts in Sisense Spago BI: Connect to Google Contacts in SpagoBI Tableau: Visualize Google Contacts in Tableau Desktop Tableau Cloud: Build Google Contacts Visualizations in Tableau Cloud Tableau Server: Publish Google Contacts-Connected Dashboards in Tableau Server TIBCO Spotfire: Visualize Google Contacts in TIBCO Spotfire through ADO.NET TIBCO Spotfire: Visualize Google Contacts Data in TIBCO Spotfire TIBCO Spotfire Server: Operational Reporting on Google Contacts from Spotfire Server Visio: Link Visio Shapes to Google Contacts Zoho Analytics: Create Google Contacts-Connected Dashboards in Zoho Analytics

ETL, Replication, & Warehousing



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

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


Popular Data Warehousing Integrations



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

Workflow & Automation Tools



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

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


When Only the Best Google Contacts Drivers Will Do

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



Frequently Asked Google Contacts Driver Questions

Learn more about Google Contacts drivers & connectors for data and analytics integration


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

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

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

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

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

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

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