We will introduce lazy loading for large database schemas in the Query Builder tool to improve performance and usability. This enhancement will significantly reduce initial load times and system resource usage when working with complex schemas. When lazy loading is active, the search experience will adapt to focus on expanded nodes, enabling efficient schema exploration.

We will provide an improved assets storage option when targeting MS SQL Server. It will be based on the Microsoft.Data.SqlClient library which is now the flagship data access driver for SQL Server. The newer connectivity library supports newer SQL Server features with improved security through encryption support and improved efficiency.

We will implement a Visual Studio-integrated Report Designer for .NET 7+ projects to enable integrated developer-oriented experience.

Microsoft discontinued .NET 6 support in November, 2024. We would like to inform you that our plans are in line with this decision, and we will be ending our .NET 6 support for Telerik Reporting in May, 2025. This will give you extra time to transition from .NET 6 to .NET 8 or .NET 9.

By upgrading to the most recent version of .NET, you will leverage the latest features, performance enhancements, and security improvements offered by both Microsoft and Telerik. This upgrade will ensure that you can make the most of the cutting-edge advancements provided by both entities.

After the introduction of the dedicated GraphQL Data Source, we will implement a wizard for easy configuration of this component inside the Web Report Designer for higher end-users productivity. It will match and exceed the already available wizard in Standalone Report Designer / VS-integrated designer.

We will introduce dedicated Location and Tile providers for the Azure Maps service. This will enable its adoption as Microsoft will sunset the Bing Maps service in near future. For now, we will support both services.

After introducing Raw Data export feature to the desktop designers and WInForms report viewer we will introduce this functionality to the Web Report Designer, all Web report viewers, including the native Angular and Blazor components. The feature enhances working with data while designing and previewing reports. Report authors will access unified raw data export during design time through the data source wizards and on demand. When previewing the report document, the end-user will have access to the plain data behind each data item like Table, Chart, or the Report itself for export.

The feature will revolutionize how users interact with generated reports by integrating AI capabilities directly into the report preview experience. This enhancement will allow users to quickly obtain summaries, answers to specific questions, and valuable insights from their reports without leaving the viewer or relying on external tools. By offering both predefined summary prompts and the ability to input custom queries, we aim to significantly boost productivity and modernize our reporting solution, keeping pace with rapidly evolving industry standards and user expectations.

We will introduce AI-powered sample data generation to simplify the report design process. Report authors will quickly create inline CSV data sources out of another data source definition, providing example data, or using natural language prompts (e.g., "Generate sample data with columns: First Name, Last Name, City"). This feature will make it easier for users to design reports faster, experiment with layouts, and bring their ideas to life with minimal setup effort.

We will innovate our Kendo jQuery-based Report Viewer (called HTML5 Report Viewer) to support the latest Kendo SASS theming mechanism. We will continue developing our web-based report viewers and report designers with SASS theming in mind.

We will implement dedicated data source components to pull data from some of the most popular databases that can currently be utilized using the SQL Data Source component. This will allow easier setup for the report author making them more productive. The considered target data management systems include PostgreSQL, SQLite, MongoDB.

On top of our Skia-based report generation engine implementation, we will compile a WebAssembly containing this engine. Effectively, web apps will be able to generate reports directly on the client.

We will expose the available settings to each export format to the end-user so that they have granular control over the produced document.

We will extend the available out-of-the-box functions that can be utilized when composing expressions. Additionally, we will make it easier to extend the available functions.

We will improve the resources serialization when serving reports to be consumed from the report viewer controls. The new serialization will utilize the built-into .NET functionality instead of relying on other libraries. This would improve performance and simplify the deployment process.

We will make it possible to present data that is joined from more than one data source. This will bring more flexibility into the hands of the report author. Imagine joining data from a web service providing instant stock rates with the client accounts' holdings for example. No warehouse in the middle of the process. No delay.