• Create Data-Oriented Apps Faster

    Google Analytics .NET integration is made easy with fast and direct access to the cloud-based Website Analytics system. The .NET Google Analytics data connector hides the complexity of connecting to Google Analytics and offers a unified interface for performing common operations against multiple data sources.

  • Manage Data More Efficiently

    Integrate analytics data from Google Analytics into your custom applications without relying on additional software. This empowers end-users to manage data more efficiently and, ultimately, gain better insights.

  • Connect to Google Analytics from Any Platform

    The Google Analytics .NET API is built against .NET Standard from the ground up, so it's supported across Windows, Mac, Linux and mobile device platforms. Connect to Google Analytics from your desktop, web and mobile applications.

ADO.NET, Entity Framework Core & LINQ Support

Connect to Google Analytics data using standard ADO.NET objects and Entity Framework Core. The data connector uses ADO.NET objects like C1GoogleAnalyticsConnection, C1GoogleAnalyticsCommand to make it easy to set up a connection. It also has in-built support for LINQ queries for native .NET data queries.

Authentication Support

The Google Analytics .NET data connector supports Service Account-based authentication to help you protect your data through a secure connection. Applications use service accounts to make authorized API calls, authorized as either the service account itself, or as Google Workspace or Cloud Identity users through domain-wide delegation.

SQL Query Support

Query against Google Analytics data using standard SQL syntax. The Google Analytics .NET C# data connector supports most SQL functionality including joins queries, functions, and summaries.

Fast Cache with Incremental Updates

The data connector has in-built caching in order to support local availability of data for faster performance on repeat operations. It also supports incremental updates so that only new or modified records get synced to the cache. This improves performance over time because your app does not need to perform a full refresh to update the cache. You can set the cache settings in connection object to configure cache database.


Scaffolding is a reverse engineering technique that helps you quickly generate model classes based on the entities of your Google Analytics database. The data connector library has built-in support for the scaffolding technique similar to Entity Framework Core. When you run the scaffolding command in Visual Studio, the scaffold engine will generate model classes and a database context for EF Core.

More Data Integration Capabilities

While the Google Analytics .NET C# data connector focuses primarily on the connecting and querying, you can use it alongside other .NET Standard and .NET Framework components to do a lot more.

  • Integrate Google Analytics data with C1DataCollection to provide filtering, grouping, data virtualization to your data-aware controls.
  • Import data from Google Analytics to C1DataEngine to analyze massive amounts of data in fractions of second.
  • Connect Google Analytics data to pivot grids & charts, such as FlexPivot, to analyze data visually
  • Create business reports using FlexReport and Google Analytics for essential business tasks.
  • Display analytics data from Google Analytics in a .NET FlexGrid control in desktop, web, or mobile devices.