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JDBC

Google Sheets JDBC Driver

Easily connect live Google Sheets data with Java-based BI, ETL, reporting, AI/ML & custom apps.

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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 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 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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JDBC access to Google Sheets

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


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.

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.

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.

Connect to Google Sheets—empower every team

Management & Data Consumer
IT Department
ISVs & cloud service vendors

AI-assisted development with CData CLI

Build Google Sheets integrations faster with AI that understands your schema

Schema-aware AI

CData CLI gives AI coding tools access to your Google Sheets schema. No more guessing table names or column types—AI sees the same metadata in your JDBC Drivers.

Your AI knows SQL

How to find table names, column names, and how to generate SQL syntax are things that AI knows well from millions of training data. No need for customization, no hallucinations. Your AI acts like a domain specialist to Google Sheets.

More accurate, more token-efficient

With CData CLI's queryable schema detection and highly efficient queries with filters, aggregation, joins with correct pushdown, your AI will achieve more accuracy with less token usage.

Supported AI Coding Tools
Download CData CLI
FAQs

Frequently asked Google Sheets JDBC driver questions

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

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