Differences
This shows you the differences between two versions of the page.
Both sides previous revisionPrevious revision | Last revisionBoth sides next revision | ||
en:competitors [2023-09-27] – Kamil Nešetřil | en:competitors [2023-09-30] – auto Kamil Nešetřil | ||
---|---|---|---|
Line 5: | Line 5: | ||
[[https:// | [[https:// | ||
[[https:// | [[https:// | ||
- | [[https:// | + | [[https:// |
[[https:// | [[https:// | ||
[[https:// | [[https:// | ||
Line 17: | Line 17: | ||
[[https:// | [[https:// | ||
[[https:// | [[https:// | ||
- | [[https:// | + | [[https:// |
[[https:// | [[https:// | ||
[[https:// | [[https:// | ||
Line 28: | Line 28: | ||
Major < | Major < | ||
* [[https:// | * [[https:// | ||
- | * [[https:// | + | * [[https:// |
* GW-Base from [[https:// | * GW-Base from [[https:// | ||
* [[https:// | * [[https:// | ||
Line 41: | Line 41: | ||
* [[https:// | * [[https:// | ||
- | Other EDMS are: [[https:// | + | Other EDMS are: [[https:// |
Those tools usually have an excellent graphical user interface and can import dozens of data exchange formats. But they are not flexible enough to create new data imports because they do not contain an easy-to-use highly adaptable ETL (extract, transform and load) module. Some existing EDMS contain some reporting engine (e.g., Tableau, SSRS, Telerik, or Crystal Reports) or even Power BI to create high-quality reports. Without an ETL module, they cannot efficiently combine data operations (e.g. aggregation), | Those tools usually have an excellent graphical user interface and can import dozens of data exchange formats. But they are not flexible enough to create new data imports because they do not contain an easy-to-use highly adaptable ETL (extract, transform and load) module. Some existing EDMS contain some reporting engine (e.g., Tableau, SSRS, Telerik, or Crystal Reports) or even Power BI to create high-quality reports. Without an ETL module, they cannot efficiently combine data operations (e.g. aggregation), |
Last modified: 2024-03-14