Time series data has seen significant growth in recent years, with increasing interest in its applications across various industries. The growing demand for time series data storage and analysis has led to the development of specialized databases designed to handle this type of data efficiently. A key database that stands out is SingleStore, a general-purpose NewSQL database that offers strong scalability, fast performance, and robust SQL support, making it suitable for a wide range of use cases, including real-time analytics, machine learning, and AI applications. While dedicated time series databases, such as Graphite, InfluxDB, OpenTSDB, and kdb+, offer specialized optimizations, they often come with limitations in terms of structure, query performance, and scalability. SingleStore's ability to seamlessly scale out for high-performance, memory-optimized storage, and fast ingest performance make it an attractive option for organizations looking to leverage time series data effectively.