Data persistence is an important factor in any microservice. There have been new database management systems in the recent past for stocking raw and processed data. There are big, fast, streaming, IoT data, and various data processing types such as batch, real-time, interactive, and iterative processing. Fresh data capture, ingestion, storage, processing, mining, analytics, and visualization technologies and tools are emerging and evolving in order to support data-driven insights and insight-driven decisions. There are several data-related patterns in the MSA world, and this section is specially prepared for discussing them.