Modern data science applications increasingly use heterogeneous data sources and analytics, leading to growing interest in polystore systems. Instead of a general-purpose polystore system, we present AWESOME (Analytics WorkbEnch for SOcial MEdia), a cutting-edge specialized “tri-store” system tailored to analytics workloads spanning relational, graph, and text data. AWESOME features a powerful domain-specific language, ADIL, which empowers users to concisely express complex applications involving cross-DBMSs queries, text and graph analytical functions, and transformations across the three data types. By incorporating a learned optimizer, it intelligently selects the optimal platform for analytical functions and the most efficient data stores for intermediate processing, which eliminates the need for users to grapple with intricate coding or complex decision-making in heterogeneous data environments.