This paper aims to explore the advantages and disadvantages of data-driven learning (DDL) in the context of English language learning. DDL is an approach that utilizes learner corpora, language corpora, and concordancers to facilitate second language (L2) acquisition. The study investigates the effectiveness of DDL in enhancing learners' language proficiency by employing a mixed-methods design that includes qualitative and quantitative data. The findings suggest that DDL can bring various benefits such as increased learner autonomy, improved accuracy, and enhanced vocabulary development. However, DDL also poses certain limitations, including potential overreliance on authentic language data and lack of individualized feedback. Overall, this research contributes to the ongoing discussion on the role of technology and data-driven approaches in language education.