YouTube Analytics Connectors

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ODBC

YouTube Analytics ODBC Driver

Read, write, and update YouTube Analytics through ODBC

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The YouTube Analytics ODBC Driver is a powerful tool that allows you to connect with live data from YouTube Analytics, directly from any applications that support ODBC connectivity. Access YouTube Analytics data like you would a database - read, write, and update YouTube Analytics Traffic, Sources, Demographics, Subscribers, etc. through a standard ODBC Driver interface.

YouTube Analytics

See what you can do with YouTube Analytics ODBC Driver

Server

SQL Server Linked-Server

Connect to YouTube Analytics from SQL Server as Linked-Server. You can query YouTube Analytics from familiar Transact-SQL without need of setting up another application.

Data Integration & ETL

Integrate YouTube Analytics to your system through popular ETL / EAI tools such as Informatica PowerCenter. Standard SQL and Stored Procedures enable fast delivery of your integration projects.

Reporting & BI

Connect YouTube Analytics from any ODBC compatible tools:

Desktop

MS Access / Excel / PowerQuery

Your familiar tools can connect to YouTube Analytics using CData ODBC.

YouTube Analytics ODBC Connectivity Features

Work with a relational model of your YouTube Analytics data based on Dimensions and Metrics
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 YouTube Analytics data, for real-time data access with the YouTube Analytics Python Connectors
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 YouTube Analytics Connector.

Target Service, API

The driver connects to YouTube Analytics API and YouTube Reporting API. Provides access to analytics data for YouTube channels, videos, and playlists. Supports real-time and historical analytics data.

Schema, Data Model

Tables are dynamically generated based on available YouTube Analytics dimensions and metrics. Supports custom report definitions. Time-based partitioning for efficient queries. Automatic handling of API quotas and rate limits.

Key Objects

Channel statistics, video performance metrics, audience demographics, traffic sources, playback locations, devices, revenue reports (for monetized channels), playlist analytics, real-time statistics, engagement metrics (likes, comments, shares).

Operations

Full SQL support for querying analytics data. Complex filtering by date ranges, videos, geography. Aggregations for custom reporting. JOIN operations between different metric tables. Stored procedures for downloading reports. Batch operations for multiple channels.

Authentication

OAuth 2.0 authentication required. Google account authentication. Service account support for server applications. API key authentication for public data. Refresh token management.

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YouTube Analytics ODBC Driver Download

Robust ODBC access to YouTube Analytics

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

Standards-Compliant ODBC

ODBC 3.8 compliant native protocol based drivers.
Unicode, 32-bit and 64-bit support

Support 32-bit and 64-bit applications and unicode ODBC APIs.
Cross-platform ODBC (Windows/Linux/Mac)

Available for Microsoft Windows, Unix, and Mac (macOS / OS X) platforms.
Certified ODBC Compatibility*

Our drivers undergo extensive testing and are certified to be compatible with leading analytics and reporting applications like Tableau, Microsoft Excel, and many more.
* Please visit our knowledge base to access how-to articles.
Embedded Remoting Capabilities

Our exclusive Remoting feature allows hosting the ODBC connection on a server to enable connections from various clients on any platform (Java, .NET, C++, PHP, Python, etc.), using any standards based technology (ODBC, JDBC, etc.). ODBC Remoting is enabled using the popular MySQL and SQL (TDS) wire protocol server.

String, Date, Numeric SQL Functions

The driver includes a library of 50 plus 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 ODBC 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.
Enterprise-class Secure Connectivity

Includes standard Enterprise-class security features such as TLS/ SSL data encryption for all client-server communications.
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.

Connect to YouTube Analytics—empower every team

Management & data consumer
- Easiest way to connect to YouTube Analytics
- Dashboard / Reports that connect with YouTube Analytics
- Data drives business, but IT teams are overwhelmed by accessing numerous siloed sources like YouTube Analytics. CData ODBC Drivers offer the fastest, easiest way to connect YouTube Analytics to BI tools like SAP BusinessObjects, Crystal Reports, Qlik, or Access.
IT Department
Integrate YouTube Analytics to your system:
- Custom application integration with SQL
- SQL Server Linked Server
- Informatica PowerCenter
Need to integrate your internal systems with YouTube Analytics? CData ODBC Drivers let you do it easily—access YouTube Analytics as a SQL Server Linked Server or connect via tools like Informatica PowerCenter using an SQL-based driver, no extra middleware required.
IT Pro, Infrastructure
- Data Client of your choice
- Excel, MS Access Linked-table, PowerQuery
Still exporting and importing CSVs manually or with scripts? CData ODBC Drivers give you live access to YouTube Analytics—no middleware or files needed. Use your preferred tools and stay in control of your YouTube Analytics data.

AI-assisted development with CData CLI

Build YouTube Analytics integrations faster with AI that understands your schema

Schema-aware AI

CData CLI gives AI coding tools access to your YouTube Analytics schema. No more guessing table names or column types—AI sees the same metadata in your ODBC 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 YouTube Analytics.

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

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FAQs

Frequently asked YouTube Analytics ODBC driver questions

Learn more about YouTube Analytics ODBC drivers for data and analytics integration

Does YouTube Analytics support ODBC?
Not natively. However, CData offers an ODBC driver for YouTube Analytics that allows you to connect to YouTube Analytics data from any ODBC-compliant application, just like you would access a traditional database. This can be useful for tasks like:
- Accessing YouTube Analytics from applications: Connect to YouTube Analytics data in popular tools and applications including Microsoft Excel, Tableau, Power BI, and many others.
- Real-time data: You can work with live YouTube Analytics data within these applications, enabling tasks like reporting and analysis.
- Connecting systems: Build data integrations between YouTube Analytics and other systems.
The YouTube Analytics ODBC driver is an ODBC 3.8 compliant native protocol-based driver with comprehensive ANSI SQL-92 support. This means that virtually any application that can connect to data via ODBC, can use the CData ODBC driver for real-time integration. Download a fully functional free trial of the YouTube Analytics ODBC driver today to get started.
Is there an ODBC driver for YouTube Analytics?

Yes, the CData ODBC driver for YouTube Analytics provides universal ODBC data connectivity for YouTube Analytics. The YouTube Analytics ODBC driver offers a simple SQL-based layer of abstraction that simplifies real-time data access for users and applications, enabling them to communicate with YouTube Analytics using a standardized set of functions. Virtually any application on any platform (including Windows, macOS, or *nix) can use the CData ODBC driver for real-time integration.
How do I connect to YouTube Analytics via ODBC?

Connectivity to YouTube Analytics via ODBC is easy. First, download and install the YouTube Analytics ODBC driver. The download page includes separate installers for Windows, macOS, and Unix, so please select the YouTube Analytics ODBC driver that matches the platform where you intend to use the driver.

Once the installation is complete, navigate to the ODBC 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 YouTube Analytics via ODBC are just the beginning. The documentation also provides extensive configuration details for using the YouTube Analytics ODBC driver with all your favorite applications and development tools, ensuring you have all the support you need.
Where can I download an ODBC driver for YouTube Analytics?

All of the CData ODBC drivers, including the YouTube Analytics ODBC driver are available for download online. To get started, download a fully functional free trial of the YouTube Analytics ODBC driver today.
How do I install an ODBC driver for YouTube Analytics?

To install the YouTube Analytics driver, simply download one of the YouTube Analytics ODBC driver installers available online. The download page includes separate Windows, macOS, and Unix installers, so please select the YouTube Analytics ODBC driver that matches the platform where you intend to use the driver. The installers are comprehensive setup utilities that will install all the components required to use the YouTube Analytics ODBC driver on your system.
Is the YouTube Analytics ODBC driver 32-bit or 64-bit?

The YouTube Analytics ODBC driver is available in both 32-bit and 64-bit binaries. The YouTube Analytics driver installer will allow you to install both options, and you can select the ODBC driver binary that is appropriate for the system where you intend to use the driver.
Does pyODBC work with YouTube Analytics?

Absolutely. The YouTube Analytics ODBC driver seamlessly supports pyODBC connectivity. For example, check out this article on our online knowledgebase that demonstrates how you can connect to YouTube Analytics from PyCharm using pyODBC and the YouTube Analytics ODBC driver.

However, besides ODBC support, we also provide native Python data connectivity for YouTube Analytics. To learn more, check out the YouTube Analytics Python Connector online.
Does the ODBC connector support ARM64 devices?

Yes, our ODBC connector supports ARM64 Windows.