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en:competitors [2020-01-24] – [Pentaho is for Data Engineering] Kamil Nešetřil | en:competitors [2023-09-27] – Kamil Nešetřil | ||
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+ | ====== Competitors ====== | ||
+ | **Who is inspiring us, what are we doing better** \\ \\ | ||
+ | HgIS is an < | ||
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+ | Major < | ||
+ | * [[https:// | ||
+ | * [[https:// | ||
+ | * GW-Base from [[https:// | ||
+ | * [[https:// | ||
+ | * [[https:// | ||
+ | * SiteFX from [[https:// | ||
+ | * [[https:// | ||
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+ | Other EDMS are: [[https:// | ||
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+ | 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), | ||
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+ | HgIS overcomes those shortcomings. Its main competitive advantages are: HgIS is easily extensible (automated data import of new formats) and focused on data analysis and modeling. | ||
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+ | More: [[standards|]] | ||
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+ | \\ | ||
+ | ===== Pentaho is for Data Engineering ===== | ||
+ | {{ : | ||
+ | [[https:// | ||
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+ | [[https:// | ||
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+ | \\ | ||
+ | ===== Special features of Pentaho ===== | ||
+ | {{ : | ||
+ | [[drive> | ||
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+ | {{ : |
Last modified: 2024-03-14