  In this digitalised world where every information is stored, the data a are
growing exponentially. It is estimated that data are doubles itself every two
years. Geospatial data are one of the prime contributors to the big data
scenario. There are numerous tools of the big data analytics. But not all the
big data analytics tools are capabilities to handle geospatial big data. In the
present paper, it has been discussed about the recent two popular open source
geospatial big data analytical tools i.e. Spatial- Hadoop and GeoSpark which
can be used for analysis and process the geospatial big data in efficient
manner. It has compared the architectural view of SpatialHadoop and GeoSpark.
Through the architectural comparison, it has also summarised the merits and
demerits of these tools according the execution times and volume of the data
which has been used.
