Google Calendars JDBC Driver
 
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Google Calendars JDBC Driver

Easily connect live Google Calendar data with Java-based BI, ETL, Reporting, AI/ML & Custom Apps.

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Other Google Drivers

The Google Calendar JDBC Driver enables users to connect with live Google Calendar data, directly from any applications that support JDBC connectivity. An easy-to-use database-like interface for Java based applications and reporting tools access to live Google Calendars data (Calendars, Events, Attendees, and more).

JDBC architecture

Google Calendar JDBC 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 Python Connectors
  • 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 JDBC Driver Download

JDBC Access to Google Calendar

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

  • Certified Compatibility*

    Our drivers undergo extensive testing and are certified to be compatible with leading analytics and reporting applications like SAP Crystal Reports, Pentaho, Business Objects, Crystal Reports and many more.

  • Metadata Discovery

    Full support for JDBC DatabaseMetaData provides extensive schema discovery capabilities. Explore tables, columns, keys, and other data constructs based on user identity.

  • Developer Friendly

    Design-time support for all major Java IDEs, including Eclipse, IntelliJ, and NetBeans.

  • JDBC Remoting

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

  • 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.

  • String, Date, Numeric SQL Functions

    The driver includes a library of over 50 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 JDBC 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.

  • Secure Connectivity

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

See what you can do with Google Calendar JDBC Driver

ETL, Data Warehouse
Data Integration & ETL

Integrate Google Calendar into your systems and data warehouses through popular Java-based ETL/EAI tools. Supports both self-hosted environments and cloud service deployment.

and more
BI, Reporting, Virtualization
BI, Reporting & Data Virtualization

Connect to Google Calendar from any JDBC-compatible BI, reporting, and data virtualization platform. Provides seamless integration using SQL as the standard query interface across all tools.

and more
Custom Java Applications
Custom Java Applications

Use the Google Calendar JDBC Driver to rapidly deliver Java-based applications that connect with Google Calendar. Universal SQL-based interactivity simplifies integration and speeds time to market.

and more

Connect to Google Calendar — empower every team


Management & Data Consumer Team

  • CData JDBC Drivers for Google Calendar will act as if it is a native connector for you ETL, BI, Data Virtualization tool.
  • Organizations can connect to the new services to capture full view of business, or migrate to modern data technology while maintaining the connection to existing sytems.
  • Speed up your AI initiative with CData. Connect your data with the AI / ML platform of your choice.

Need to integrate your internal systems with Google Calendar? CData JDBC Drivers let you do it easily. Java based applications can easily connect to Google Calendar with SQL/JDBC — any ETL, EAI (Enterprise Application Integration), ESB (Enterpriese Service Bus) can connect to Google Calendar.

  • Embed CData JDBC Drivers for Google Calendar to your product and differentiate with your connectivity
  • Standard SQL access. Stop researching on different authentication, data model and query methods.
  • Utilize your resource to build your product, CData takes care of your connectivity
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Management & Data Consumer
IT Department
ISVs & cloud service vendors

Frequently Asked Google Calendar JDBC Driver Questions

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

Yes, Google Calendar can be used with Java . CData provides a JDBC type 4/5 driver for Google Calendar that allows Java applications to connect to Google Calendar using standard JDBC APIs. This driver enables you to execute SQL queries, manage connections, and process data stored in Google Calendar from Java, or any Java-based application that supports JDBC.

Not natively. However, CData offers a JDBC driver for Google Calendar that allows you to connect to Google Calendar data from any Java-based application that supports JDBC, 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 Informatica, Talend, Apache Spark, Apache NiFi, 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 JDBC driver is a pure Java type 4/5 driver with comprehensive ANSI SQL-92 support. This means that virtually any application that can connect to data via JDBC, can use the CData JDBC driver for real-time integration. Download a fully functional free trial of the Google Calendar JDBC driver today to get started.

Yes, the CData JDBC driver for Google Calendar provides universal JDBC data connectivity for Google Calendar. The Google Calendar JDBC 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 can use the CData JDBC driver for real-time integration.

Connectivity to Google Calendar via JDBC is easy. First, download and install the Google Calendar JDBC driver.

Once the installation is complete, navigate to the JDBC 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 JDBC are just the beginning. The documentation also provides extensive configuration details for using the Google Calendar JDBC driver with all your favorite applications and development tools, ensuring you have all the support you need.

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

To install the Google Calendar driver, simply download one of the Google Calendar JDBC driver installers available online. The installers are comprehensive setup utilities that will install all the components required to use the Google Calendar JDBC driver on your system.

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