Google Calendars ODBC Driver
 
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Google Calendars ODBC Driver

Read, write, and update Google Calendar through ODBC

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Other Google Drivers

The Google Calendars ODBC Driver is a powerful tool that allows you to connect with live data from Google Calendars, directly from any applications that support ODBC connectivity. Access Google Calendars data like you would a database, including Calendars, Events, Attendees, etc. through a standard ODBC Driver interface.

ODBC architecture

Google Calendar ODBC Connectivity Features

  • Powerful metadata querying enables SQL-like access to non-database sources
  • Push down query optimization pushes SQL operations down to the server whenever possible, increasing performance
  • Client-side query execution engine, supports SQL-92 operations that are not available server-side
  • Connect to live Google Calendar data, for real-time data access with the Google Calendar ADO.NET Provider
  • Full support for data aggregation and complex JOINs in SQL queries
  • Secure connectivity through modern cryptography, including TLS 1.2, SHA-256, ECC, etc.
  • Seamless integration with leading BI, reporting, and ETL tools and with custom applications via the Google Calendar Connector.

Target Service, API

The driver connects to Google Calendar API. Provides SQL access to calendars, events, and calendar metadata.

Schema, Data Model

Models calendars and events as relational tables. Supports recurring events and complex event properties.

Key Objects

Calendars, Events, Attendees, Reminders, and Calendar Lists. Access to all Google Calendar data for authorized user.

Operations

Full CRUD operations on events. SQL queries with date filtering and text search. Supports batch operations for events.

Authentication

OAuth 2.0 authentication with Google. Requires calendar scope permissions. Supports service account authentication.

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Google Calendar ODBC Driver Download

Robust ODBC Access to Google Calendar

Full-featured and consistent SQL access to any supported data source through ODBC

  • Standards-Compliant ODBC

    ODBC 3.8 compliant native protocol based drivers.

  • Unicode, 32-bit and 64-bit support

    Support 32-bit and 64-bit applications and unicode ODBC APIs.

  • Cross-platform ODBC (Windows/Linux/Mac)

    Available for Microsoft Windows, Unix, and Mac (macOS / OS X) platforms.

  • Certified ODBC Compatibility*

    Our drivers undergo extensive testing and are certified to be compatible with leading analytics and reporting applications like Tableau, Microsoft Excel, and many more.

    * Please visit our knowledge base to access how-to articles.
  • Embedded Remoting Capabilities

    Our exclusive Remoting feature allows hosting the ODBC connection on a server to enable connections from various clients on any platform (Java, .NET, C++, PHP, Python, etc.), using any standards based technology (ODBC, JDBC, etc.). ODBC Remoting is enabled using the popular MySQL and SQL (TDS) wire protocol server.

  • String, Date, Numeric SQL Functions

    The driver includes a library of 50 plus functions that can manipulate column values into the desired result. Popular examples include Regex, JSON, and XML processing functions.

  • Collaborative Query Processing

    Our drivers enhance the data source's capabilities by additional client-side processing, when needed, to enable analytic summaries of data such as SUM, AVG, MAX, MIN, etc.

  • Easily Customizable and Configurable

    The data model exposed by our ODBC Drivers can easily be customized to add or remove tables/columns, change data types, etc. without requiring a new build. These customizations are supported at runtime using human-readable schema files that are easy to edit.

  • Enterprise-class Secure Connectivity

    Includes standard Enterprise-class security features such as TLS/ SSL data encryption for all client-server communications.

  • Replication and Caching

    Our replication and caching commands make it easy to copy data to local and cloud data stores such as Oracle, SQL Server, Google Cloud SQL, etc. The replication commands include many features that allow for intelligent incremental updates to cached data.

See what you can do with Google Calendar ODBC Driver

Server
SQL
SQL Server Linked-Server

Connect to Google Calendar from SQL Server as Linked-Server. You can query Google Calendar from familiar Transact-SQL without need of setting up another application.

Informatica
Data Integration & ETL

Integrate Google Calendar to your system through popular ETL / EAI tools such as Informatica PowerCenter. Standard SQL and Stored Procedures enable fast delivery of your integration projects.

Reporting & BI
Reporting & BI

Connect Google Calendar from any ODBC compatible tools:

Desktop
MS Access / Excel / PowerQuery
MS Access / Excel / PowerQuery

Your familiar tools can connect to Google Calendar using CData ODBC.

Connect to Google Calendar — empower every team


Management & Data Consumer

  • Easiest way to connect to Google Calendar
  • Dashboard / Reports that connect with Google Calendar
  • Data drives business, but IT teams are overwhelmed by accessing numerous siloed sources like Google Calendar. CData ODBC Drivers offer the fastest, easiest way to connect Google Calendar to BI tools like SAP BusinessObjects, Crystal Reports, Qlik, or Access.

Integrate Google Calendar to your system:

  • Custom application integration with SQL
  • SQL Server Linked Server
  • Informatica PowerCenter

Need to integrate your internal systems with Google Calendar? CData ODBC Drivers let you do it easily—access Google Calendar as a SQL Server Linked Server or connect via tools like Informatica PowerCenter using an SQL-based driver, no extra middleware required.

  • Data Client of your choice
  • Excel, MS Access Linked-table, PowerQuery

Still exporting and importing CSVs manually or with scripts? CData ODBC Drivers give you live access to Google Calendar — no middleware or files needed. Use your preferred tools and stay in control of your Google Calendar data.

Management & Data Consumer
IT Department
IT Pro, Infrastructure

Frequently Asked Google Calendar ODBC Driver Questions

Learn more about Google Calendar ODBC drivers for data and analytics integration

Not natively. However, CData offers an ODBC driver for Google Calendar that allows you to connect to Google Calendar data from any ODBC-compliant application, just like you would access a traditional database. This can be useful for tasks like:

  • Accessing Google Calendar from applications: Connect to Google Calendar data in popular tools and applications including Microsoft Excel, Tableau, Power BI, and many others.
  • Real-time data: You can work with live Google Calendar data within these applications, enabling tasks like reporting and analysis.
  • Connecting systems: Build data integrations between Google Calendar and other systems.

The Google Calendar ODBC driver is an ODBC 3.8 compliant native protocol-based driver with comprehensive ANSI SQL-92 support. This means that virtually any application that can connect to data via ODBC, can use the CData ODBC driver for real-time integration. Download a fully functional free trial of the Google Calendar ODBC driver today to get started.

Yes, the CData ODBC driver for Google Calendar provides universal ODBC data connectivity for Google Calendar. The Google Calendar ODBC driver offers a simple SQL-based layer of abstraction that simplifies real-time data access for users and applications, enabling them to communicate with Google Calendar using a standardized set of functions. Virtually any application on any platform (including Windows, macOS, or *nix) can use the CData ODBC driver for real-time integration.

Connectivity to Google Calendar via ODBC is easy. First, download and install the Google Calendar ODBC driver. The download page includes separate installers for Windows, macOS, and Unix, so please select the Google Calendar ODBC driver that matches the platform where you intend to use the driver.

Once the installation is complete, navigate to the ODBC driver documentation page. Here, you'll find a wealth of information about the installed driver. The step-by-step instructions for creating a DSN and using it to connect to Google Calendar via ODBC are just the beginning. The documentation also provides extensive configuration details for using the Google Calendar ODBC driver with all your favorite applications and development tools, ensuring you have all the support you need.

All of the CData ODBC drivers, including the Google Calendar ODBC driver are available for download online. To get started, download a fully functional free trial of the Google Calendar ODBC driver today.

To install the Google Calendar driver, simply download one of the Google Calendar ODBC driver installers available online. The download page includes separate Windows, macOS, and Unix installers, so please select the Google Calendar ODBC driver that matches the platform where you intend to use the driver. The installers are comprehensive setup utilities that will install all the components required to use the Google Calendar ODBC driver on your system.

The Google Calendar ODBC driver is available in both 32-bit and 64-bit binaries. The Google Calendar driver installer will allow you to install both options, and you can select the ODBC driver binary that is appropriate for the system where you intend to use the driver.

Absolutely. The Google Calendar ODBC driver seamlessly supports pyODBC connectivity. For example, check out this article on our online knowledgebase that demonstrates how you can connect to Google Calendar from PyCharm using pyODBC and the Google Calendar ODBC driver.

However, besides ODBC support, we also provide native Python data connectivity for Google Calendar. To learn more, check out the Google Calendar Python Connector online.

Popular ODBC Videos:

Installing a CData ODBC Driver on Windows
Installing a CData ODBC Driver on macOS / Unix /Linux

Download the Google Calendar ODBC Driver today!

Get the latest Google Calendar ODBC Drivers for Windows, Linux, and macOS. Install in minutes and connect your Google Calendar data to Power BI, Tableau, and more.

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