Evaluation of modern tools and techniques for storing time-series data

Time series data as its analysis and applications recently have become increasingly important in different areas and domains. Many fields of science and industry rely on storing and processing large amounts of time series - economics and finance, medicine, the Internet of Things, environmental protection, hardware monitoring, and many others. This work presents a theoretical and experimental approach to choosing an appropriate instrument.