Geoconcept is described as 'The GEOCONCEPT solution was designed first and foremost to respond to expectations of users who wanted to leverage the power of geographical data to the fullest' and is a GIS Software in the Travel & Location category. There are more than 10 alternatives to Geoconcept for a variety of platforms, including Online / Web-based, Windows, Android, iPhone and Linux. The best alternative is QGIS, which is both free and Open Source. Other great apps like Geoconcept are ArcGIS (Paid), Mapline (Freemium), what3words (Freemium) and KML viewer and converter (Free).
QGIS, formerly Quantum GIS, is a user friendly open source Geographic Information System (GIS) licensed under the GNU General Public License that runs on Linux, Unix, Mac OSX, and Windows and supports numerous vector, raster, and database formats and functionalities.
ArcGIS offers unique capabilities and flexible licensing for applying location-based analytics to your business practices. Gain greater insights using contextual tools to visualize and analyze your data. Collaborate and share via maps, apps, dashboards and reports.
Maximize the use of your Excel spreadsheet data. Make mapping the easiest. Transform Excel data into visual analysis. We lead in data simplification and presentation. We are committed to deliver the tools needed to outpace competition.
MapInfo Professional is a powerful, functionally rich desktop mapping application from Pitney Bowes MapInfo, designed to enable organisations to solve business problems that have a geographical element.
Manifold GIS is a combination of mapping, CAD, DBMS and image processing. The hallmark of GIS is the power of using a visual interface to view, grab, analyze, manipulate and transform data that would not be comprehensible in classic row and column DBMS text presentations.
Spatial Feature Server by MapET is an ESRI Geoservices REST Implementation and works with all ESRI Rest API's. The source of published data is the spatial extension of the major RDBMS, such Oracle, Microsoft SQLServer, MySQL, PostgreSQL.