Abstract: More than two-thirds of the Earth crust rocks are formed by magmatism from the deep. The information recorded by igneous rocks are important resource for understanding deep process, as well as evolution of the Earth during deep-time, and therefore valuable for the Deep-time Digital Earth (DDE) Big Science Program. Igneous rocks are ideal candidates for data accumulation because of their wide distribution, significant amount and rather accurate dating. Over the past decade, scientists around the world have established excellent igneous rock databases such as EarthChem, GEOROC and DataView. All have their virtues and defects. Under the DDE project, to accumulate igneous rock data scattered in research institutions and individuals, and establish a highly integrated database along with a platform suited with artificial intelligence algorithms, will be a breakthrough point. They will promote the Earth science research from traditional theory-driven searching to big data-driven discovering. The current paper reviews the existing igneous rock databases, including their data, systems and operations, in order to provide reference for the future DDE igneous rock database. Several big data-driven researches on igneous rock during recent years have also been reviewed, to explore all aspects of future research when igneous rock big data is combined with AI technique.

Key words: igneous rock, geochemistry, database, big data