What does esProc solve?

Report Data Source:
The SQL for preparing data for reports is several K bytes long, which is difficult to write and more difficult to maintain.
For large amount of data, report presentation is too slow, sometimes overflow happens. Users often complain.


JAVA Computing Layer:
Java computing is too cumbersome. It takes hundreds of lines to write a simple filter grouping.

If the algorithm logic is changed, the whole application will be restarted and it will be difficult to provide continuous service.


Offline Free Computing:
A large number of TXT/CSV/XLS have to be processed, and SQL is NOT available. Everything is very complicated.
SQL is not easy to write, Python is also difficult to learn, it always requires professional programmers to do, and the cost is high.