Hydrostatic　systems　are　considered　as　essential　supporting　structures　in　heavy　machine　tools.　The　calculations　and　analyses　for　hydrostatic　bearings　are　always　laborious　because　of　the　involvement　of　several　disciplines　such　as　elastic　mechanics,　hydromechanics,　thermodynamics,　and　other　factors　in　the　design.　It　is　well　known　that　large　data　and　cloud　technology　are　capable　of　processing　and　transmission　of　hydrostatic　system　studies.　In　this　work,　a　cloud　manufacture　model　is　presented　to　provide　big　data　storage,　transmission,　and　processing　platform　for　designers,　manufacturers,　and　users　of　hydrostatic　bearings.　All　participants　involved　in　the　manufacturing　were　linked　together　by　timely　information　communication　in　order　to　ensure　that　the　customized　products　met　with　the　actual　conditions　in　the　cloud　server.　Based　on　the　actual　requirements　of　the　user,　the　carrying　capacity　of　hydrostatic　system　was　analyzed　by　a　designer　using　finite　difference　method　and　the　results　were　sent　to　the　manufacturer　for　machining　of　components.　The　monitored　data　from　the　consumer　could　be　fed　back　to　the　designer　for　performance　evaluation　through　the　cloud　server.　It　was　found　that　customized　manufacturing　tasks　could　be　finished　more　reliably　and　efficiently　if　all　participants　exchanged　the　data　through　cloud　platform　in　real　time.