Google Analytics Drivers & Connectors
for Data Integration

Connect to live Google Analytics data from reporting tools, databases, and custom applications through standards-based drivers. Easily integrate Google Analytics data with BI, Reporting, Analytics, ETL Tools, and Custom Solutions.


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BI & Analytics



Our drivers offer the fastest and easiest way to connect real-time Google Analytics data with BI, analytics, reporting and data visualization technologies. They provide unmatched query performance, comprehensive access to Google Analytics data and metadata, and seamlessly integrate with your favorite analytics tools.

LEARN MORE: Connectivity for BI & Analytics

Popular BI & Analytics Integrations



Alteryx Designer: Prepare, Blend, and Analyze Google Analytics in Alteryx Designer (ODBC) Alteryx Designer: Work with Live Google Analytics Data in Alteryx Designer (Connect Cloud) Amazon QuickSight: Build Interactive Dashboards from Google Analytics Data in Amazon QuickSight Amazon SageMaker: Integrate Live Google Analytics data into Amazon SageMaker Canvas Aqua Data Studio: Connect to Google Analytics in Aqua Data Studio AWS Databricks: Process & Analyze Google Analytics Data in Databricks (AWS) Azure Analysis Services: Model Google Analytics Data Using Azure Analysis Services Birst: Build Visualizations of Google Analytics in Birst BIRT: Design BIRT Reports on Google Analytics Clear Analytics: Build Charts with Google Analytics in Clear Analytics Cognos Analytics (On-Prem): Analyze Google Analytics Data in Cognos Analytics DBxtra: Build Dashboards with Google Analytics in DBxtra Domo: Create Datasets from Google Analytics in Domo Workbench Dundas BI: Build Dashboards with Google Analytics in Dundas BI Excel (on Mac OS): Work with Google Analytics Data in MS Excel on Mac OS X FineReport: Feed Google Analytics into FineReport Google Sheets: Access Live Google Analytics Data in Google Sheets IBM Cognos BI: Create Data Visualizations in Cognos BI with Google Analytics Infragistics Reveal: Analyze Google Analytics Data in Infragistics Reval JasperServer: Create Google Analytics Reports on JasperReports Server Jaspersoft BI Suite: Connect to Google Analytics in Jaspersoft Studio JReport Designer: Integrate with Google Analytics in JReport Designer Klipfolio: Create Google Analytics-Connected Visualizations in Klipfolio KNIME: Enable the Google Analytics JDBC Driver in KNIME LINQPad: Working with Google Analytics in LINQPad Looker: Analyze Google Analytics Data in Looker Looker Studio: Create Reports from Google Analytics Data in Looker Studio Metabase: Create Interactive Google Analytics-Connected Metabase Dashboards Microsoft Excel: Access Live Google Analytics Data in Excel Desktop Microsoft Excel for the Web: Access Live Google Analytics Data in Excel for the Web Microsoft SSAS: Build an OLAP Cube in SSAS from Google Analytics MicroStrategy: Connect to Live Google Analytics Data in MicroStrategy through Connect Cloud MicroStrategy: Use the CData JDBC Driver for Google Analytics in MicroStrategy Microstrategy Desktop: Use the CData JDBC Driver for Google Analytics in MicroStrategy Desktop Microstrategy Web: Use the CData JDBC Driver for Google Analytics in MicroStrategy Web Mode Analytics: Create Google Analytics-Connected Visualizations in Mode OBIEE: Google Analytics Reporting in OBIEE with the Google Analytics JDBC Driver pandas: Use pandas to Visualize Google Analytics in Python Pentaho Report Designer: Integrate Google Analytics in the Pentaho Report Designer Power BI Desktop: Author Power BI Reports on Real-Time Google Analytics Power BI Service: Visualize Live Google Analytics Data in the Power BI Service Power Pivot: Access Google Analytics Data in Microsoft Power Pivot Power Query: Access Google Analytics Data in Microsoft Power Query Qlik Cloud: Create Apps from Google Analytics Data in Qlik Sense Cloud QlikView: Connect to and Query Google Analytics in QlikView over ODBC R: Analyze Google Analytics in R (JDBC) R: Analyze Google Analytics in R (ODBC) RapidMiner: Connect to Google Analytics in RapidMiner Redash: Build Google Analytics-Connected Dashboards in Redash SAP Analytics Cloud: Analyze Google Analytics Data in SAP Analytics Cloud SAP Business Objects: Create an SAP BusinessObjects Universe on the CData JDBC Driver for Google Analytics SAP Crystal Reports: Publish Reports with Google Analytics in Crystal Reports SAS: Use the CData ODBC Driver for Google Analytics in SAS for Real-Time Reporting and Analytics SAS JMP: Use the CData ODBC Driver for Google Analytics in SAS JMP Sisense: Visualize Live Google Analytics in Sisense Spago BI: Connect to Google Analytics in SpagoBI Tableau: Visualize Google Analytics in Tableau Desktop Tableau Cloud: Build Google Analytics Visualizations in Tableau Cloud Tableau Server: Publish Google Analytics-Connected Dashboards in Tableau Server TIBCO Spotfire: Visualize Google Analytics in TIBCO Spotfire through ADO.NET TIBCO Spotfire: Visualize Google Analytics Data in TIBCO Spotfire TIBCO Spotfire Server: Operational Reporting on Google Analytics from Spotfire Server Zoho Analytics: Create Google Analytics-Connected Dashboards in Zoho Analytics

ETL, Replication, & Warehousing



From drivers and adapters that extend your favorite ETL tools with Google Analytics connectivity to ETL/ELT tools for replication — our Google Analytics integration solutions provide robust, reliable, and secure data movement.

Connect your RDBMS or data warehouse with Google Analytics to facilitate operational reporting, offload queries and increase performance, support data governance initiatives, archive data for disaster recovery, and more.


Popular Data Warehousing Integrations



Airbyte: Connect to Google Analytics Data in Airbyte ELT Pipelines Amazon Redshift: Automated Continuous Google Analytics Replication to Amazon Redshift Amazon S3: Automated Continuous Google Analytics Replication to Amazon S3 Apache Airflow: Bridge Google Analytics Connectivity with Apache Airflow Apache Camel: Integrate with Google Analytics using Apache Camel Apache Cassandra: Automated Continuous Google Analytics Replication to Apache Cassandra Apache Kafka: Automated Continuous Google Analytics Replication to Apache Kafka Apache NiFi: Bridge Google Analytics Connectivity with Apache NiFi Apache NiFi Batch Operations: Perform Batch Operations with Google Analytics Data in Apache NiFi AWS Glue: Build ETL Jobs with Google Analytics Data in AWS Glue Jobs Azure Data Factory: Import Google Analytics Data Using Azure Data Factory Azure Data Lake: Automated Continuous Google Analytics Replication to Azure Data Lake Azure Synapse: Automated Continuous Google Analytics Replication to Azure Synapse BIML: Use Biml to Build SSIS Tasks to Replicate Google Analytics to SQL Server CloverDX: Connect to Google Analytics in CloverDX (formerly CloverETL) Couchbase: Automated Continuous Google Analytics Replication to Couchbase CSV: Automated Continuous Google Analytics Replication to Local Delimited Files Databricks: Automated Continuous Google Analytics Replication to Databricks FoxPro: Work with Google Analytics in FoxPro Google AlloyDB: Automated Continuous Google Analytics Replication to Google AlloyDB Google BigQuery: Automated Continuous Google Analytics Replication to Google BigQuery Google Cloud SQL: Automated Continuous Google Analytics Replication to Google Cloud SQL Google Data Fusion: Build Google Analytics-Connected ETL Processes in Google Data Fusion Heroku / Salesforce Connect: Replicate Google Analytics for Use in Salesforce Connect HULFT Integrate: Connect to Google Analytics in HULFT Integrate IBM DB2: Automated Continuous Google Analytics Replication to IBM DB2 Informatica Cloud: Integrate Google Analytics in Your Informatica Cloud Instance Informatica PowerCenter: Create Informatica Mappings From/To a JDBC Data Source for Google Analytics Jaspersoft ETL: Connect to Google Analytics in Jaspersoft Studio Microsoft Access: Automated Continuous Google Analytics Replication to Microsoft Access Microsoft Azure Tables: Automated Continuous Google Analytics Replication to Azure SQL Microsoft Power Automate: Build Google Analytics-Connected Automated Tasks with Power Automate (Desktop) MongoDB: Automated Continuous Google Analytics Replication to MongoDB MySQL: Automated Continuous Google Analytics Replication to MySQL Oracle Data Integrator: ETL Google Analytics in Oracle Data Integrator Oracle Database: Automated Continuous Google Analytics Replication to Oracle petl: Extract, Transform, and Load Google Analytics in Python PostgreSQL: Automated Continuous Google Analytics Replication to PostgreSQL Replicate to MySQL: Replicate Google Analytics to MySQL with PowerShell SAP HANA: Automated Continuous Google Analytics Replication to SAP HANA SingleStore: Automated Continuous Google Analytics Replication to SingleStore SnapLogic: Integrate Google Analytics with External Services using SnapLogic Snowflake: Automated Continuous Google Analytics Replication to Snowflake SQL Server: Automated Continuous Google Analytics Replication to SQL Server SQL Server Linked Server: Connect to Google Analytics Data as a SQL Server Linked Server SQLite: Automated Continuous Google Analytics Replication to SQLite Talend: Connect to Google Analytics and Transfer Data in Talend UiPath Studio: Create an RPA Flow that Connects to Google Analytics in UiPath Studio Vertica: Automated Continuous Google Analytics Replication to a Vertica Database

Workflow & Automation Tools



Connect to Google Analytics from popular data migration, ESB, iPaaS, and BPM tools.

Our drivers and adapters provide straightforward access to Google Analytics data from popular applications like BizTalk, MuleSoft, SQL SSIS, Microsoft Flow, Power Apps, Talend, and many more.

Popular Workflow & Automation Tool Integrations



Developer Tools & Technologies



The easiest way to integrate with Google Analytics from anywhere. Our Google Analytics drivers offer a data-centric model for Google Analytics that dramatically simplifies integration — allowing developers to build higher quality applications, faster than ever before. Learn more about the benefits for developers:



Popular Developer Integrations



.NET Charts: DataBind Charts to Google Analytics .NET QueryBuilder: Rapidly Develop Google Analytics-Driven Apps with Active Query Builder Angular JS: Using AngularJS to Build Dynamic Web Pages with Google Analytics Apache Spark: Work with Google Analytics in Apache Spark Using SQL AppSheet: Create Google Analytics-Connected Business Apps in AppSheet Bubble.io: Build Google Analytics-Connected Apps in Bubble C++Builder: DataBind Controls to Google Analytics Data in C++Builder Choreo: Build Custom Apps on Google Analytics Data in Choreo ColdFusion: Query Google Analytics in ColdFusion Using JDBC ColdFusion: Query Google Analytics in ColdFusion Using ODBC Dash: Use Dash & Python to Build Web Apps on Google Analytics Delphi: DataBind Controls to Google Analytics Data in Delphi DevExpress: DataBind Google Analytics to the DevExpress Data Grid EF - Code First: Access Google Analytics with Entity Framework 6 EF - LINQ: LINQ to Google Analytics EF - MVC: Build MVC Applications with Connectivity to Google Analytics Filemaker Pro: Bidirectional Access to Google Analytics from FileMaker Pro Filemaker Pro (on Mac): Bidirectional Access to Google Analytics from FileMaker Pro (on Mac) Go: Write a Simple Go Application to work with Google Analytics on Linux Google Apps Script: Connect to Google Analytics Data in Google Apps Script Hibernate: Object-Relational Mapping (ORM) with Google Analytics Entities in Java IntelliJ: Connect to Google Analytics in IntelliJ JBoss: Connect to Google Analytics from a Connection Pool in JBoss JDBI: Create a Data Access Object for Google Analytics using JDBI JRuby: Connect to Google Analytics in JRuby Mendix: Build Google Analytics-Connected Apps in Mendix Microsoft Power Apps: Integrate Live Google Analytics Data into Custom Business Apps Built in Power Apps NodeJS: Query Google Analytics Data in Node.js (via Connect Cloud) NodeJS: Query Google Analytics through ODBC in Node.js OutSystems: Create Google Analytics-Connected Enterprise Applications in OutSystems PHP: Access Google Analytics in PHP through Connect Server PHP: Natively Connect to Google Analytics in PHP PowerBuilder: Connect to Google Analytics from PowerBuilder PowerShell: Pipe Google Analytics to CSV in PowerShell PyCharm: Using the CData ODBC Driver for Google Analytics in PyCharm Python: Connect to Google Analytics in Python on Linux/UNIX React: Build Dynamic React Apps with Google Analytics Data Ruby: Connect to Google Analytics in Ruby RunMyProcess: Connect to Google Analytics Data in RunMyProcess RunMyProcess DSEC: Connect to Google Analytics in DigitalSuite Studio through RunMyProcess DSEC SAP UI5: Integrate Real-Time Access to Google Analytics in SAPUI5 MVC Apps Servoy: Build Google Analytics-Connected Apps in Servoy Spring Boot: Access Live Google Analytics Data in Spring Boot Apps SQLAlchemy: Use SQLAlchemy ORMs to Access Google Analytics in Python Tomcat: Configure the CData JDBC Driver for Google Analytics in a Connection Pool in Tomcat Unqork: Create Google Analytics-Connected Applications in Unqork VCL App (RAD Studio): Build a Simple VCL Application for Google Analytics WebLogic: Connect to Google Analytics from a Connection Pool in WebLogic


When Only the Best Google Analytics Drivers Will Do

See what customers have to say about our products and support.



Frequently Asked Google Analytics Driver Questions

Learn more about Google Analytics drivers & connectors for data and analytics integration


The Google Analytics driver acts like a bridge that facilitates communication between various applications and Google Analytics, allowing the application to read data as if it were a relational database. The Google Analytics driver abstracts the complexities of Google Analytics APIs, authentication methods, and data types, making it simple for any application to connect to Google Analytics data in real-time via standard SQL queries.

Working with a Google Analytics Driver is different than connecting with Google Analytics through other means. Google Analytics API integrations require technical experience from a software developer or IT resources. Additionally, due to the constant evolution of APIs and services, once you build your integration you have to constantly maintain Google Analytics integration code moving forward.

By comparison, our Google Analytics Drivers offer codeless access to live Google Analytics data for both technical and non-technical users alike. Any user can install our drivers and begin working with live Google Analytics data from any client application. Because our drivers conform to standard data interfaces like ODBC, JDBC, ADO.NET etc. they offer a consistent, maintenance-free interface to Google Analytics data. We manage all of the complexities of Google Analytics integration within each driver and deploy updated drivers as systems evolve so your applications continue to run seamlessly.

If you need truly zero-maintenance integration, check out connectivity to Google Analytics via CData Connect Cloud. With Connect Cloud you can configure all of your data connectivity in one place and connect to Google Analytics from any of the available Cloud Drivers and Client Applications. Connectivity to Google Analytics is managed in the cloud, and you never have to worry about installing new drivers when Google Analytics is updated.

Many organizations draw attention to their library of connectors. After all, data connectivity is a core capability needed for applications to maximize their business value. However, it is essential to understand exactly what you are getting when evaluating connectivity. Some vendors are happy to offer connectors that implement basic proof-of-concept level connectivity. These connectors may highlight the possibilities of working with Google Analytics, but often only provide a fraction of capability. Finding real value from these connectors usually requires additional IT or development resources.

Unlike these POC-quality connectors, every CData Google Analytics driver offers full-featured Google Analytics data connectivity. The CData Google Analytics drivers support extensive Google Analytics integration, providing access to all of the Google Analytics data and meta-data needed by enterprise integration or analytics projects. Each driver contains a powerful embedded SQL engine that offers applications easy and high-performance access to all Google Analytics data. In addition, our drivers offer robust authentication and security capabilities, allowing users to connect securely across a wide range of enterprise configurations. Compare drivers and connectors to read more about some of the benefits of CData's driver connectivity.

With our drivers and connectors, every data source is essentially SQL-based. The CData Google Analytics driver contains a full SQL-92 compliant engine that translates standard SQL queries into Google Analytics API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to Google Analytics as possible. Any logic that can not be pushed to Google Analytics is handled transparently client-side by the driver/connector engine. Ultimately, this means that Google Analytics looks and acts exactly like a database to any client application or tool. Users can integrate live Google Analytics connectivity with ANY software solution that can talk to a standard database.

The Google Analytics drivers and connectors offer comprehensive access to Google Analytics data. Our Google Analytics driver exposes static and dynamic data and metadata, providing universal access to Google Analytics data for any enterprise analytics or data mangement use. To explore the Google Analytics driver data model, please review the edition-specific Google Analytics driver documentation.

Using the CData Google Analytics drivers and connectors, Google Analytics can be easily integrated with almost any application. Any software or technology that can integrate with a database or connect with standards-based drivers like ODBC, JDBC, ADO.NET, etc., can use our drivers for live Google Analytics data connectivity. Explore some of the more popular Google Analytics data integrations online.

Additionally, since Google Analytics supported by CData Connect Cloud, we enable all kinds of new Google Analytics cloud integrations.

Google Analytics Analytics and Google Analytics Cloud BI integration is universally supported for BI and data science. In addition, CData provides native client connectors for popular analytics applications like Power BI, Tableau, and Excel that simplify Google Analytics data integration. Additionally, native Python connectors are widely available for data science and data engineering projects that integrate seamlessly with popular tools like Pandas, SQLAlchemy, Dash, and Petl.

Google Analytics data integration is typically enabled with CData Sync, a robust any-to-any data pipeline solution that is easy to set up, runs everywhere, and offers comprehensive enterprise-class features for data engineering. CData Sync makes it easy to replicate Google Analytics data any database or data warehouse, and maintain parity between systems with automated incremental Google Analytics replication. In addition, our Google Analytics drivers and connectors can be easily embedded into a wide range of data integration tools to augment existing solutions.

Absolutely. The best way to integrate Google Analytics with Excel is by using the CData Connect Cloud Excel Add-In. The Google Analytics Excel Add-In provides easy Google Analytics integration directly from Microsoft Excel Desktop, Mac, or Web (Excel 365). Simply configure your connection to Google Analytics from the easy-to-use cloud interface, and access Google Analytics just like you would another native Excel data source.