Rockburst　phenomenon　is　a　kind　of　phenomenon　that　the　rock　is　out　and　ejected　because　the　mineral　was　dug　out,　and　the　original　force　balance　was　destroyed　in　the　process　of　mineral　exploitation.　From　2007,　GeoLab　(abbreviation　of　State　Key　Laboratory　in　China　for　GeoMechanics　and　Deep　Underground　Engineering)　had　made　a　series　of　important　achievements　in　rockburst.　Up　to　now,　GeoLab＇s　rockburst　experiment　data　is　reached　800T,　and　these　data　may　occupy　about　2PB　hard　disk　space　after　analyzed.　At　this　ratio,　GeoLab　need　to　buy　a　new　hard　disk　to　save　all　these　data　every　46　hours　rockburst　experiment.　Since　there　is　not　enough　hard　disk　space　to　save　all　these　data,　GeoLab　had　to　slow　down　the　speed　of　do　rockburst　experiment　and　only　analyzed　about　4　percent　of　the　data.　We　call　this　phenomenon　a　dilemma　for　data　storage.　This　hindered　the　research　process　of　rockburst　phenomenon.　We　proposed　a　structure　to　obtain　data　from　a　cloud　platform　based　on　big　data　technology.　And　basing　on　this　we　analyzed　the　distribution　characteristics　of　rockburst　experiment　data,　data　frequency　and　data　frequency　domain.　And　a　new　rockburst　experiment　data　compression　storage　algorithm　(NDCS)　based　on　big　data　technology　and　cloud　platform　was　proposed.　Then　we　compared　NDCS　with　WinRAR　and　BDSS　by　occupied　disk　space,　compress　ratio　and　consuming　time.　Theoretical　analysis　and　experiments　show　that　NDCS　has　the　best　performance　of　all　three　algorithms.　NDCS　is　the　most　suitable　data　compression　storage　algorithm　for　rockburst,　and　it　has　successfully　solved　the　data　storage　dilemma　in　rockburst　experiment.