InfluxData, a company founded by Paul Dix, built a purpose-built Time Series Platform to address the unique challenges of handling time series data. Regular and irregular time series are handled, with metadata describing the series that users may query on later. Time series data requires fast ingestion, high-precision data for short periods, continuous aggregation and downsampling, and efficient querying patterns. Traditional relational databases like SQL and distributed databases like Cassandra or HBase are not designed to solve these specific issues, requiring significant application-level code. InfluxData's platform optimizes for developer happiness by reducing the need for custom code, leveraging peculiarities of time series data, and providing a common API for building solutions. The platform aims to provide better performance and reduced developer effort compared to more generalized databases.