Search-based data discovery tools enable users to develop and refine views and analyses of structured and unstructured data using search terms. Like visualization-based data discovery tools, they have three attributes: (1) a proprietary data structure to store and model data gathered from disparate sources, which minimizes reliance on predefined business intelligence (BI) metadata; (2) a built-in performance layer using RAM or indexing that lessens the need for aggregates, summaries and pre-calculations; and (3) an intuitive interface, enabling users to explore data without much training. However, as well as having a broader scope (visualization-driven data discovery tools focus exclusively on quantitative data) they differ at the user interface layer, with search-based data discovery tools using text search input and results to guide users to the information they need.