Time Series Databases and IoT Applications
Year: 2025
Type: article
Abstract: The Internet of Things (IoT) has emerged as a transformative technology, connecting billions of devices and generating an unprecedented volume of data. This data, primarily time-stamped, poses unique challenges in storage, retrieval, and analysis. Time Series Databases (TSDBs) have become the cornerstone for managing this type of data, offering specialized capabilities such as high-throughput ingestion, efficient querying, and long-term trend analysis. These databases are critical for enabling real-time decision-making and predictive analytics across industries such as healthcare, energy, agriculture, and smart cities. This paper delves into the core features of TSDBs, their application in IoT ecosystems, and the evolving advancements that address scalability, security, and edge computing challenges. By examining both opportunities and challenges, this study provides insights into the future potential of TSDBs in driving IoT innovation.
Author: Angel B. John
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4408070649