YouTube Analytics Drivers & Connectors
for Data Integration

Connect to YouTube Analytics data through easy-to-use, bi-directional drivers. Easily integrate YouTube Analytics data with BI, Reporting, Analytics, ETL Tools, and Custom Solutions.


Decorative Icon YouTube Analytics Logo


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BI & Analytics



Our drivers offer the fastest and easiest way to connect real-time YouTube Analytics data with BI, analytics, reporting and data visualization technologies. They provide unmatched query performance, comprehensive access to YouTube 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 YouTube Analytics in Alteryx Designer (ODBC) Amazon QuickSight: Build Interactive Dashboards from YouTube Analytics Data in Amazon QuickSight Aqua Data Studio: Connect to YouTube Analytics in Aqua Data Studio AWS Databricks: Process & Analyze YouTube Analytics Data in Databricks (AWS) Birst: Build Visualizations of YouTube Analytics in Birst BIRT: Design BIRT Reports on YouTube Analytics Clear Analytics: Build Charts with YouTube Analytics in Clear Analytics DBxtra: Build Dashboards with YouTube Analytics in DBxtra Domo: Create Datasets from YouTube Analytics in Domo Workbench Dundas BI: Build Dashboards with YouTube Analytics in Dundas BI Excel (on Mac OS): Work with YouTube Analytics Data in MS Excel on Mac OS X FineReport: Feed YouTube Analytics into FineReport IBM Cognos BI: Create Data Visualizations in Cognos BI with YouTube Analytics Infragistics Reveal: Analyze YouTube Analytics Data in Infragistics Reval JasperServer: Create YouTube Analytics Reports on JasperReports Server Jaspersoft BI Suite: Connect to YouTube Analytics in Jaspersoft Studio JReport Designer: Integrate with YouTube Analytics in JReport Designer Klipfolio: Create YouTube Analytics-Connected Visualizations in Klipfolio KNIME: Enable the YouTube Analytics JDBC Driver in KNIME LINQPad: Working with YouTube Analytics in LINQPad Microsoft SSAS: Build an OLAP Cube in SSAS from YouTube Analytics MicroStrategy: Connect to Live YouTube Analytics Data in MicroStrategy through Connect Server MicroStrategy: Use the CData JDBC Driver for YouTube Analytics in MicroStrategy Microstrategy Desktop: Use the CData JDBC Driver for YouTube Analytics in MicroStrategy Desktop Microstrategy Web: Use the CData JDBC Driver for YouTube Analytics in MicroStrategy Web OBIEE: YouTube Analytics Reporting in OBIEE with the YouTube Analytics JDBC Driver pandas: Use pandas to Visualize YouTube Analytics in Python Pentaho Report Designer: Integrate YouTube Analytics in the Pentaho Report Designer Power BI Desktop: Author Power BI Reports on Real-Time YouTube Analytics Power BI Service: Visualize Live YouTube Analytics Data in the Power BI Service Power Pivot: Access YouTube Analytics Data in Microsoft Power Pivot Power Query: Access YouTube Analytics Data in Microsoft Power Query QlikView: Connect to and Query YouTube Analytics in QlikView over ODBC R: Analyze YouTube Analytics in R (JDBC) R: Analyze YouTube Analytics in R (ODBC) RapidMiner: Connect to YouTube Analytics in RapidMiner Redash: Build YouTube Analytics-Connected Dashboards in Redash SAP Analytics Cloud: Analyze YouTube Analytics Data in SAP Analytics Cloud SAP Business Objects: Create an SAP BusinessObjects Universe on the CData JDBC Driver for YouTube Analytics SAP Crystal Reports: Publish Reports with YouTube Analytics in Crystal Reports SAS: Use the CData ODBC Driver for YouTube Analytics in SAS for Real-Time Reporting and Analytics SAS JMP: Use the CData ODBC Driver for YouTube Analytics in SAS JMP Sisense: Visualize Live YouTube Analytics in Sisense Spago BI: Connect to YouTube Analytics in SpagoBI Tableau: Visualize YouTube Analytics in Tableau Desktop Tableau Cloud: Build YouTube Analytics Visualizations in Tableau Cloud Tableau Server: Publish YouTube Analytics-Connected Dashboards in Tableau Server TIBCO Spotfire: Visualize YouTube Analytics in TIBCO Spotfire through ADO.NET TIBCO Spotfire: Visualize YouTube Analytics Data in TIBCO Spotfire TIBCO Spotfire Server: Operational Reporting on YouTube Analytics from Spotfire Server Visio: Link Visio Shapes to YouTube Analytics

ETL, Replication, & Warehousing



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

Connect your RDBMS or data warehouse with YouTube 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



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

Workflow & Automation Tools



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

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


When Only the Best YouTube Analytics Drivers Will Do

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Frequently Asked YouTube Analytics Driver Questions

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


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

Working with a YouTube Analytics Driver is different than connecting with YouTube Analytics through other means. YouTube 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 YouTube Analytics integration code moving forward.

By comparison, our YouTube Analytics Drivers offer codeless access to live YouTube Analytics data for both technical and non-technical users alike. Any user can install our drivers and begin working with live YouTube 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 YouTube Analytics data. We manage all of the complexities of YouTube Analytics integration within each driver and deploy updated drivers as systems evolve so your applications continue to run seamlessly.

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

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

Using the CData YouTube Analytics drivers and connectors, YouTube 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 YouTube Analytics data connectivity. Explore some of the more popular YouTube Analytics data integrations online.

YouTube Analytics Analytics 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 YouTube 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.

YouTube 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 YouTube Analytics data any database or data warehouse, and maintain parity between systems with automated incremental YouTube Analytics replication. In addition, our YouTube Analytics drivers and connectors can be easily embedded into a wide range of data integration tools to augment existing solutions.

Absolutely. CData offers native Excel Add-Ins for YouTube Analytics integration. These Add-Ins provide live access to YouTube Analytics data directly from Microsoft Excel.