Who is inspiring us, what are we doing better

HgIS is an EDMS – Environmental Data Management Software. Such software is being developed by many companies:

Major EDMS produced by those companies are:

• EQuIS from EarthSoft.
• WISKI and other solutions from Kisters – Germany.
• GW-Base from ribeka – Germany.
• ESdat – Australia.
• EnDAR from Tetra Tech integrates Power BI or Tableau.
• SiteFX from EarthFX – USA. Has public domain data model, not perfectly documented. MS Access as the runtime environment.
• EnviroData from Geotech Computer Systems, USA. Based on MS Access.
• Oasis-montaj Seequent Central and other from Seequent (former GeoSoft).
• Hydro GeoAnalyst from Waterloo Hydrogeologic.
• GeODin (Fugro)
• GIM Suite (acQuire)
• EDMS (GAEA)
• QNOPY

Other EDMS are: Hydstra (Kisters), Project Portal (ddms), EPIPHINY (Summit Envirosolutions), Virtual Observatory and Ecological Informatics System (VOEIS), eRAMS (Colorado State University), eSymon, H+ (Réseau National de Sites Hydrogéologiques), GWSDAT (Shiny) (Wayne Jones), MIKE INFO – former IMS – Information Management System (DHI), DataSight (Seveno), MonitorPro (EHS Data), DATALAB (Waterlabs), Geological Data Management Software (Datamine), GEMS (GEOVIA), Enterprise Integration (MineRP), Water Resources Database, EQWin (EQWin® Software Inc.), ChemPoint (Starpoint Software) and AQUARIUS (Aquatic Informatics). Some of those do not have geology. gdBase from GD Software is mostly used in the Czech Republic.

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), analyses, and simple visualization (reporting).

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.

More: Standards for groundwater data exchange

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Integration of Pentaho + Python or R allows the data scientist and data engineer focus on what they do best.

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