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The last decade has witnessed the prevalence of sensor and GPS technologies that produce a high volume of trajectory data representing the motion history of moving objects. However some characteristics of trajectories such as variable lengths and asynchronous sampling rates make it difficult to fit into traditional database systems that are disk-based and tuple-oriented. Motivated by the success of column store and recent development of inmemory databases, we try to explore the potentialdoi:10.1007/s11280-017-0466-9 fatcat:jbj6u6a56vdwxkzbxsddggkx3m