with ordinary Excel features
Automatic input structuring and validation
Data is processed on the server, providing quick access to large volumes of information with a powerful calculation engine.
Information is structured as OLAP cubes, eliminating the risk of data entry errors and incorrect structuring. Data integrity is checked automatically.
Metadata can be modified on the server, with all changes automatically propagated to dependent tables and formulas.
Security settings can be configured for various user categories, granting access to tables (cubes), structural elements, and document versions.
Users can collaborate within a single table, with all modifications saved instantly. Data entry processes can be monitored in real-time.
Through the REST API, Spreadym can import data from third-party systems, providing users with unified, structured data and automated reports.
Working with large tables in Excel can be time-consuming. To speed up calculations, it is often necessary to separate data across multiple sheets or files.
The integrity of the data structure in Excel is maintained by the user, which can lead to errors. Adding new rows and columns can cause formula shifts and other issues.
New elements, dimensions, and connections are entered manually. Changes must be made manually to all necessary sheets and files.
Excel provides limited options for controlling data access. Users often have to manually split arrays into several files.
Excel provides limited collaboration capabilities. There is no control over the changes users make.
Excel allows users to load data from third-party systems, but only with restrictions and upon request. Continuous and regulated data loading is not possible.