In this paper we report on our experience of using Database Supported Haskell (DSH) for analysing the entire Wikipedia history. DSH is a novel high-level database query facility allowing for the for- mulation and efficient execution of queries on nested and ordered collections of data. DSH grew out of a research project on the integration of database querying capabilities into high-level, general-purpose programming languages. It is an emerging trend that querying facilities embedded in general-purpose programming languages are gradually replacing lower-level database languages such as SQL as preferred facilities for querying large-scale database-resident data. We relate this new approach to the current practice which integrates database queries into analysts’ workflows in a rather ad hoc fashion. This paper would interest early technology adopters interested in new database query languages and practitioners working on large-scale data analysis.