Google Calendar Drivers & Connectors for Data Integration

Read, Write, and Update Google Calendars through easy-to-use bi-directional drivers. Easily integrate Google Calendar 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 Calendar data with BI, analytics, reporting and data visualization technologies. They provide unmatched query performance, comprehensive access to Google Calendar 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 Calendar in Alteryx Designer (ODBC) Alteryx Designer: Work with Live Google Calendar Data in Alteryx Designer (Connect Cloud) Amazon QuickSight: Build Interactive Dashboards from Google Calendar Data in Amazon QuickSight Amazon SageMaker: Integrate Live Google Calendar data into Amazon SageMaker Canvas Aqua Data Studio: Connect to Google Calendar in Aqua Data Studio AWS Databricks: Process & Analyze Google Calendar Data in Databricks (AWS) Azure Analysis Services: Model Google Calendar Data Using Azure Analysis Services Birst: Build Visualizations of Google Calendar in Birst BIRT: Design BIRT Reports on Google Calendar Cognos Analytics (On-Prem): Analyze Google Calendar Data in Cognos Analytics Domo: Create Datasets from Google Calendar in Domo Workbench Excel (on Mac OS): Work with Google Calendar Data in MS Excel on Mac OS X FineReport: Feed Google Calendar into FineReport Google Sheets: Access Live Google Calendar Data in Google Sheets IBM Cognos BI: Create Data Visualizations in Cognos BI with Google Calendar Infragistics Reveal: Analyze Google Calendar Data in Infragistics Reval Klipfolio: Create Google Calendar-Connected Visualizations in Klipfolio KNIME: Enable the Google Calendar JDBC Driver in KNIME LINQPad: Working with Google Calendar in LINQPad Looker: Analyze Google Calendar Data in Looker Looker Studio: Create Reports from Google Calendar Data in Looker Studio Metabase: Create Interactive Google Calendar-Connected Metabase Dashboards Microsoft Excel: Access Live Google Calendar Data in Excel Desktop Microsoft Excel for the Web: Access Live Google Calendar Data in Excel for the Web Microsoft SSAS: Build an OLAP Cube in SSAS from Google Calendar MicroStrategy: Connect to Live Google Calendar Data in MicroStrategy through Connect Cloud MicroStrategy: Use the CData JDBC Driver for Google Calendar in MicroStrategy Microstrategy Desktop: Use the CData JDBC Driver for Google Calendar in MicroStrategy Desktop Microstrategy Web: Use the CData JDBC Driver for Google Calendar in MicroStrategy Web Mode Analytics: Create Google Calendar-Connected Visualizations in Mode pandas: Use pandas to Visualize Google Calendar in Python Pentaho Report Designer: Integrate Google Calendar in the Pentaho Report Designer Power BI Desktop: Author Power BI Reports on Real-Time Google Calendar Power BI Service: Visualize Live Google Calendar Data in the Power BI Service Power Pivot: Access Google Calendar Data in Microsoft Power Pivot Power Query: Access Google Calendar Data in Microsoft Power Query Qlik Cloud: Create Apps from Google Calendar Data in Qlik Sense Cloud QlikView: Connect to and Query Google Calendar in QlikView over ODBC R: Analyze Google Calendar in R (ODBC) RapidMiner: Connect to Google Calendar in RapidMiner Redash: Query, Visualize, and Share live Google Calendar Data in Redash SAP Analytics Cloud: Analyze Google Calendar Data in SAP Analytics Cloud SAP Business Objects: Create an SAP BusinessObjects Universe on the CData JDBC Driver for Google Calendar SAP Crystal Reports: Publish Reports with Google Calendar in Crystal Reports (JDBC) SAP Crystal Reports: Publish Reports with Google Calendar in Crystal Reports (Connect Cloud) SAS: Use the CData ODBC Driver for Google Calendar in SAS for Real-Time Reporting and Analytics SAS Viya: Analyze Live Google Calendar Data in SAS Viya Sisense: Visualize Live Google Calendar in Sisense Tableau: Visualize Google Calendar in Tableau Desktop Tableau: Visualize Google Calendar in Tableau Desktop (Connect Cloud) Tableau Cloud: Build Google Calendar Visualizations in Tableau Cloud Tableau Server: Publish Google Calendar-Connected Dashboards in Tableau Server ThoughtSpot: Model, Search, and Visualize Live Google Calendar Data in ThoughtSpot TIBCO Spotfire Server: Operational Reporting on Google Calendar from Spotfire Server Visio: Link Visio Shapes to Google Calendar Zoho Analytics: Create Google Calendar-Connected Dashboards in Zoho Analytics

ETL, Replication, & Warehousing



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

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

Workflow & Automation Tools



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

Our drivers and adapters provide straightforward access to Google Calendar 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 Calendar from anywhere. Our Google Calendar drivers offer a data-centric model for Google Calendar 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



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

Data Virtualization



Our drivers provide a virtual database abstraction on top of Google Calendar data and support popular data virtualization features like query federation through advanced capabilities for query delegation / predicate pushdown.

Learn more about how our tools can be used in popular data virtualization scenarios below:

Popular Data Virtualization Tool Integrations





When Only the Best Google Calendar Drivers Will Do

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



Frequently Asked Google Calendar Driver Questions

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


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

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

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

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

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

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

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



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