Google Sheets JDBC Driver
 
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Google Sheets JDBC Driver

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

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Other Google Drivers

The Google Sheets JDBC Driver enables users to connect with live Google Sheets data, directly from any applications that support JDBC connectivity. Easily connect Java applications with real-time data from spreadsheets stored in Google Docs. Use Google Sheets to manage the data that powers your applications.

JDBC architecture

Google Sheets JDBC Connectivity Features

  • Access Google Spreadsheet data as an entire worksheet or from discrete ranges of data within a worksheet
  • Represent discrete blocks of data as tables through automatic detection or by manually specifying ranges of data
  • Optionally specify if the first row of data should be used for field names
  • Read tables that are oriented horizontally or vertically
  • 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 Sheets data, for real-time data access with the Google Sheets ODBC Driver
  • 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 Sheets Connector.

Target Service, API

CData Google Sheets JDBC driver allows you to access Google Sheets as tables. The driver leverages two drivers: the Google Drive API to enable bidirectional access to Google Sheets and the Google Sheets to retrieve the actual data.

Schema, Data Model

The driver models spreadsheets and ranges as relational tables. The driver enables you to represent a top-left-oriented spreadsheet or a user-specified range as a database table. You can control how tables are listed by setting the Header property.

Key Objects

User defined sheets are being exposed as tables.

Operations

The driver supports standard operations (SELECT, INSERT, UPDATE, DELETE) and bulk operations (INSERT INTO SELECT, UPDATE SELECT, DELETE SELECT).

Authentication

CData provides an embedded OAuth application that simplifies authentication at the desktop. You can also authenticate from the desktop via a custom OAuth application, which you configure and register at the Google Sheets console.. Supported Authentication Schemes are; Token, OAuth, OAuthJWT, GCPInstanceAccount, AWSWorkloadIdentity

Specific feature or properties

You can also create, copy or delete sheets, or Up/Download Documents to Google Drive.

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Google Sheets JDBC Driver Download

JDBC Access to Google Sheets

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 Sheets JDBC Driver

ETL, Data Warehouse
Data Integration & ETL

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

and more

Connect to Google Sheets — empower every team


Management & Data Consumer Team

  • CData JDBC Drivers for Google Sheets 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 Sheets? CData JDBC Drivers let you do it easily. Java based applications can easily connect to Google Sheets with SQL/JDBC — any ETL, EAI (Enterprise Application Integration), ESB (Enterpriese Service Bus) can connect to Google Sheets.

  • Embed CData JDBC Drivers for Google Sheets 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
Learn more
Management & Data Consumer
IT Department
ISVs & cloud service vendors

Frequently Asked Google Sheets JDBC Driver Questions

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

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

Not natively. However, CData offers a JDBC driver for Google Sheets that allows you to connect to Google Sheets 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 Sheets from applications: Connect to Google Sheets 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 Sheets data within these applications, enabling tasks like reporting and analysis.
  • Connecting systems: Build data integrations between Google Sheets and other systems.

The Google Sheets 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 Sheets JDBC driver today to get started.

Yes, the CData JDBC driver for Google Sheets provides universal JDBC data connectivity for Google Sheets. The Google Sheets 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 Sheets 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 Sheets via JDBC is easy. First, download and install the Google Sheets 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 Sheets via JDBC are just the beginning. The documentation also provides extensive configuration details for using the Google Sheets 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 Sheets JDBC driver are available for download online. To get started, download a fully functional free trial of the Google Sheets JDBC driver today.

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

Ready to get started? Try CData for free today

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