With　the　explosion　of　vehicles,　the　concept　of　Internet　of　Vehicles　(IoV)　has　drawn　increasing　concern　among　academics.　The　IoV　refers　to　extracting　and　processing　information　from　massive　data　which　are　gathering　from　vehicles　and　their　surrounds.　And　an　integrated　IoV　system　which　is　reliable　on　data　storage　and　efficient　on　data　processing　is　indispensable.　In　this　paper,　we　design　a　distributed　storage　and　processing　system　depending　on　Hadoop,　HBase　and　Spark　to　store　and　process　IoV　data.　The　system　can　overcome　the　single　point　of　failure　problem,　guarantee　the　reliable　data　storage　and　meet　the　real-time　computing　requirements.　We　do　thorough　tests　to　evaluate　the　system　performance　based　on　practical　IoV　data　of　Fuzhou　city.　The　results　indicate　that　the　system　can　satisfy　the　requirements　of　stable　data　storage　and　efficient　data　processing.　©　2016　IEEE.