Time series data has seen an increasing focus over the past decade, with interest more than doubling. It's at the core of the Internet of Things and involves frequent sensor readings from various devices. Time series data is inherently well-structured yet can be complex when it isn't. Traditional databases may struggle to process large volumes of time series data, but new technologies like SingleStore are designed to handle this challenge. The emergence of machine learning and AI has driven the importance of time series data, with companies seeking to analyze and act on vast amounts of data to gain insights and stay competitive. However, many organizations still isolate their time series data in NoSQL databases, hindering analysis and transactions, highlighting the need for a unified solution like SingleStore that offers both operational and analytics capabilities.