Discover Google Analytics .NET data connector for cross-platform data integration and management.
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.
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 to support local data availability 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 a full refresh to update the cache. You can set the cache settings in the connection object to configure the 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. The scaffolding engine will generate model classes and a database context for EF Core when running the Visual Studio scaffolding command.
While the Salesforce .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.