Google Analytics JDBC Driver
 
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Google Analytics JDBC Driver

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

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The Google Analytics JDBC Driver enables users to connect with live Google Analytics 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 Analytics data (Traffic, Users, Referrals, Geo, Behaviors, and more).

JDBC architecture

Google Analytics JDBC Connectivity Features

  • Work with a relational model of your Google Analytics data based on Dimensions and Metrics
  • Provides access to a full range of web traffic and analysis data
  • 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 Analytics data, for real-time data access with the Google Analytics 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 Analytics Connector.

Target Service, API

The driver supports Google Analytics 4 (GA4) APIs. The driver provides a relational view of the Google Analytics profiles in your Google account or across your Google Apps domain.

Schema, Data Model

The driver includes tables that contain often-used dimensions and metrics as columns; additionally, you can customize the table schemas or write your own to combine any valid set of dimensions and metrics. The driver exposes the columns available through the Data API (Google Analytics 4) and the Admin API (Google Analytics 4).

Key Objects

Acquisitions, Engagement, Demographics, Monetization views are the basic views that you can use with setting your own dimentions. We also provide a number of pre-defined views such as AcquisitionsSessionSourcereport, EngagementEventsreport etc.

Operations

Standard SQL with SELECT can be used to query the GA4 views by setting StartDate and EndDate in WHERE clause. You can use the strong Server Side Filtering for both OR and AND operators. You can use JOIN, GROUP BY, ORDER BY, UNION and other standard SQL clauses.

Authentication

OAuth is the standard schema to access Google Analytics 4. You can use the embedded OAuth and just connect and authorize access from your browser without creating your custom OAuth Apps. The driver also supports OAuthJWT, GCPInstanceAccount, and AWSWorkloadIdentity.

Specific feature or properties

If you do not set terms, the driver will obtain data for 30 day duration.

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Google Analytics JDBC Driver Download

JDBC Access to Google Analytics

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 Analytics JDBC Driver

ETL, Data Warehouse
Data Integration & ETL

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

and more

Connect to Google Analytics — empower every team


Management & Data Consumer Team

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

  • Embed CData JDBC Drivers for Google Analytics 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 Analytics JDBC Driver Questions

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

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

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

The Google Analytics 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 Analytics JDBC driver today to get started.

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

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

Ready to get started? Try CData for free today

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