As the three authoritative databases of entrepreneurship research, Global Entrepreneurship Monitor (GEM), Panel Study of Entrepreneurial Dynamics (PSED), and Chinese Panel Study of Entrepreneurial Dynamics (CPSED) have greatly contributed to the contextualization and independent development of entrepreneurship research. However, the existing research findings are far from enough, lacking the integrated framework that can fully reflect the contribution of three entrepreneurship databases. In view of this, this paper systematically combs the entrepreneurship research themes and three major database deficiencies, and then constructs a comprehensive analytical framework to promote the flourishing of entrepreneurship research. Firstly, this paper provides an overall introduction to the three major entrepreneurship databases, and compares and analyzes their design ideas and data structures, thus helping scholars further identify what can be used in the three major databases. Secondly, by adopting the method of bibliometric analysis, this paper reviews 219 entrepreneurship literatures which use the three databases and are published in top journals, and analyzes their publication years and journals to understand the basic distribution. Thirdly, this paper summarizes the development of research themes and constructs an integrated framework to understand the unique advantages of the three databases that provide important guidance for the evolution of entrepreneurship research. Among them, this paper focuses on six hot research themes, including entrepreneurs and teams, entrepreneurial opportunities, entrepreneurial financing, entrepreneurial decision-making, entrepreneurial impact, and entrepreneurial environment. Finally, based on the above analysis, this paper summarizes the five main shortcomings of the three major databases, namely, lack of effective long-term tracking, vague variable measurement, subjective variable measurement, scattered research themes, and insufficient sample size, and proposes suggestions for the construction of large-scale databases in the future. This paper innovatively reveals the great value of the three major entrepreneurship databases in advancing entrepreneurship research, proposes the innovative requirements for research data for the development of entrepreneurship research, provides important theoretical support for the construction of entrepreneurship databases, and emphasizes the significant role of entrepreneurship contextualization and its close connection with databases. The study has certain theoretical significance for further promoting entrepreneurship research and achieving a better construction of entrepreneurship databases.