Towards a systematic benchmark for array database systems

Abstract

Big Data are a central challenge today in science and industry. Typically, Big Data are characterized from application perspectives. From a data structure perspective, among the core structures appearing are sets, graphs, and arrays. In particular in science and engineering we find arrays being a main contributor to data volumes. In fact, large, multi-dimensional arrays represent an important information category in earth, life, and space sciences, but also in engineering, business, and e-government. Having long been neglected by database research, arrays today increasingly receive attention leading to a whole new field of investigation, Array Databases. As more and more Arry Database Systems emerge, similarities and differences can be observed. This calls for complementary research on benchmarks for Array DBMSs. We present work in progress on such a comprehensive Array DBMS benchmark, which is based on our 15 years of pioneering Array DBMSs and also designing a geo raster query language standard and its corresponding functionality benchmark.