A Performance Study of Big Spatial Data Systems
Md Mahbub Alam, Suprio Ray, Virendrakumar C. Bhavsar · 2018
With the accelerated growth in spatial data volume, being generated from a wide variety of sources, the need for efficient storage, retrieval, processing and analyzing of spatial data is ever more important. Hence, spatial data processing system has become an important field of research. In recent times a number of Big Spatial Data systems have been proposed by researchers around the world. These systems can be roughly categorized into Apache Hadoop-based and in-memory systems based on Apache Spark. The available features supported by these systems vary widely. However, there has not been any comprehensive evaluation study of these systems in terms of performance, scalability and functionality. To address this need, we propose a benchmark to evaluate Big Spatial Data systems.