Geographic information systems (GIS) are one of the rapidly growing areas of information technology. Geographic information technologies allow combining cartographic and thematic information into a single coordinated structure and ensure the prompt development of multi-level, visual solutions for a wide range of tasks. Spatial data predominates among the data in circulation, but their volume and generation rate increases several times each year, so completely new models and methods based on Big Data are required for the processing of arbitrary geo-data. The paper provides a brief analysis of the current state of GIS and the perspectives for their development based on Big data methods. Brief information about the essence of GIS, their structure and analysis of information in GIS was given. Here, the problems of developing geo- information technologies capable of processing spatiotemporal data in real-time from a network of intelligent geo-sensors were analyzed. An overview of existing solutions and their limitations was provided. Basic research methods are the modeling, comparative and descriptive methods, methods of analogy, analysis and synthesis; the main research approaches are systematic, complex and situational. The results are expected to be useful in the formation of national spatial data infrastructure in the country, the improvement of scientific research in the field of GIS and the development of a set of measures for the security of spatial data (pp.38-51).