Geospatial solutions
Geospatial solutions, their design, construction and use are the heart of our operations. We are a technology-independent operator, and we evaluate the best tool for solving a given problem based on a comprehensive review.
However, open source software and components are particularly important to our operations and to many of our customers – we also act as sponsors for the development of several open source software.
Geospatial solutions can be broadly understood – whether it is the development of geospatial infrastructure or the development or customization of related components, data processing and distribution services or processes, the construction and deployment of web map components, nothing is unknown to us.
We have worked and built our solutions extensively with various technologies in recent years.
In the development of web map components, we have used, among others:
For more intensive desktop and field-based processing of spatial data, building blocks such as QGIS, QField, and QFieldCloud. When building data pipelines for these different browser or desktop interfaces, the following toolkits often come to question:
Of these, FME in particular is arguably the most versatile solution in the implementation of data integrations containing widely different types and qualities of spatial data. Often, when there is a massive amount of spatial data to be processed, data platforms such as Databricks and Snowflake become relevant. Finally, when you want to create illustrative visualizations from the data, a tool such as Microsoft PowerBI may well be the tool of choice.
When publishing API services according to OGC standards (e.g. WMS, WMTS, WFS, OGC API Features, MVT), a wide range of tools is also available. Examples include GeoServer, Mapserver, pygeoapi and Hakunapi. And they oftenmost won’t suffice alone without a proper database layer, whether it’s PostgreSQL/PostGIS, SQL Server or Oracle Spatial.