A multi-platform data-mining and visualization library for RAD Studio, supporting in-memory databases, pivot tables, and big data.
TeeBI is a data-mining and visualization library for RAD Studio that provides an in-memory database engine, pivot tables, and rich visualizations. It solves the problem of handling and analyzing large datasets efficiently within Delphi and C++ applications, offering SQL-like queries, geographic data support, and big data capabilities.
Delphi and C++ developers using RAD Studio or Lazarus/FreePascal who need to integrate data analysis, visualization, and business intelligence features into their desktop or mobile applications.
Developers choose TeeBI for its ultra-fast performance, multi-platform support, and comprehensive feature set—including pivot tables, geographic databases, and AI data import—without external dependencies, making it a self-contained solution for building analytic applications.
Data-mining and Visualization components for RAD Studio
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Uses columnar arrays for high-speed data handling, supporting billions of cells with demos showing performance for big data scenarios.
Integrates pivot tables, geographic databases, SQL-like queries, and visualizations in one library, eliminating external dependencies.
Runs on Windows, macOS, Android, iOS, and Linux via VCL and FireMonkey, ensuring deployment across desktop and mobile.
Supports imports from AI agents, databases, URLs, and files with minimal code, as shown in example imports like TBIAI.From.
Restricted to Embarcadero RAD Studio (Delphi/C++) and Lazarus/FreePascal, making it inaccessible for modern web or cross-language projects.
Machine-learning and interactive dashboard features are marked as obsolete and moved to separate folders, reducing out-of-the-box capabilities.
The comprehensive API and custom scripting for queries, such as TBISQL.From, require significant time to master compared to simpler libraries.