DolphinDB is a high-throughput distributed time-series database, specially designed for big data analysis scenarios in industrial IoT (IIOT) and finance.

Data analysis in DolphinDB is often conducted based on the basic product information (such as the SKU, size, and storage of a device) from an external business platform, which conventionally runs on a relational database. To associate external product information with the time series data in DolphinDB, you can use the cached tables to save the external data fetched through plugins (MySQL, MongoDB, CSV file, etc.) in memory with regular synchronizations.