OBJECTIVES:  To evaluate clinical outcomes of renal cell carcinoma (RCC) patients within the Brazilian health public health care setting using secondary data from a real world longitudinal patient database (DataSUS) METHODS:  Hospital (SIH) and ambulatory (SIA) information from Brazilian health care information system (DataSUS) were used to frame up a longitudinal patient database based on record linkage algorithms. The cohort for analysis is composed of de-identified patients with any ICD C64 records from 2008 to 2016. Surgery (STx), radiotherapy (RTx) and chemotherapy (CTx) are considered as treatments and clinical outcomes calculated using longitudinal patient records timeframes. Time to treatment is considered the period from last diagnosis method and first treatment records. Also, overall survival (OS) consist of claims record gaps between a treatment line and patient death. RESULTS:  The overall analysis cohort results 34,167 patients considering datasets intersection obtained through record linkage. On the period between jun/16 and jul/15, the average time to treatment was 5.8 months among 7,566 patients in treatment: 3,279 in STx, 600 in RTx and 1401 in CTx, being 246 on TKIs/mTORs/MAbs and 1,179 on another CTx regimen. Considering first line patients, overall OS was 19 months; carving up into disease staging results in stage I/II/III 34 and stage IV 8 months. Finally, considering CTx patients, 5.6% were prior exposed to RTx and 31.0% to STx and 3.1% to both. CONCLUSIONS:  Framing patient-centric medical claim databases using record linkage algorithms provides a powerful asset for analyzing calculated clinical outcomes in oncology under the real world environment. Furthermore, both demographic and socioeconomic analysis can be shaped bring up a better understanding of RCC dynamics in Brazil.